analytics manager

Zions Bancorporation

Consistently ranking among American Banker magazine's "Best Banks to Work For" for over a decade, Zions Bancorporation is a "Collection of Great Banks" with local brand names and management teams in each of our major Western markets.
 And because we’ve known that, for over 150 years, our success has come from the exceptional dedication, experience and talent of our diverse employee base, we're committed to being the premier employer of choice.
 Ready to make your mark on a legacy brand?
 Our expanding marketing team is building something special—a dynamic, in-house Creative Studio and innovative Demand Center that will transform how we connect with customers. Under fresh leadership from our newly appointed CMO, we're reimagining what marketing can be while supporting a bank known for its experienced bankers, exceptional service, and local leadership deeply rooted in the communities we serve. This isn't just another financial marketing role — it's your chance to shape a creative vision with real impact.
 You bring the talent; we bring the opportunity.
 We’re seeking an exceptional Marketing Analytics Manager (Data Analytics Manager) to join our enterprise marketing team and oversee analytics, campaign performance, and key marketing initiatives.
 Work Arrangement: This is a 100% in-office position. Candidates must be available to work from a corporate hub five days a week; hybrid or remote work is not an option
 Location: (On-Site Required) AZ, CA, CO, NV, OR, TX, WA, or UT
 Salary Range: This position is eligible to earn a base salary in the range of $100,875 - $134,500 annually depending on job-related factors such as level of experience and location.
 Key Responsibilities Works under limited supervision to lead analysis on key marketing initiatives and prepares executive reports on campaign performance, customer engagement, and ROI to inform strategic decision-making and enhance marketing effectiveness. The candidate must demonstrate a proven ability to translate complex analytical findings into a clear, persuasive narrative specifically for a marketing leadership audience. They need to be able to connect data points directly to campaign strategy and business impact. A/B Testing Expertise: Must be able to design, execute, and analyze complex marketing tests. Oversee public facing web properties, including controls on web page publishing, using analytics to measure results and inform strategy.
 Act as liaison with martech, growth marketing, agency and segment marketing teams.
 
Qualifications: Requires a Bachelor's degree and 6+ years of marketing, data science, data analytics, information systems, statistics or a related experience. Some managerial/supervisory experience required. A combination of education and experience may meet requirements. Proven Marketing Domain Experience: Requires a considerable working knowledge of all aspects of marketing strategies and tactics, including interactive, digital and print marketing Experience with Power BI/Tableau/Adobe suite/ desirable. Ability to manage large projects, and agile product management/development. Must have sound management, organizational and communication skills, both written and verbal. Solid client relationship, project management, problem solving and analysis skills. Ability to set and maintain high quality work standards. Ability to deal effectively with people in various job capacities. Exhibits an exceptional degree of ingenuity, creativity and resourcefulness in decision making and problem solving.
 
Visa Sponsorship: 
This Marketing Analytics Manager position is currently not eligible for employment visa sponsorship (e.g., H-1B visa). This includes, for example, situations where a candidate may have temporary work authorization while enrolled in school or upon graduation (e.g., CPT, OPT) but would need H-1B visa sponsorship within a few years of employment in order to maintain employment eligibility.
 Benefits: Medical, Dental and Vision Insurance - START DAY ONE! Life and Disability Insurance, Paid Parental Leave and Adoption Assistance Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays, and any applicable state holidays 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience Mental health benefits including coaching and therapy sessions Tuition Reimbursement for qualifying employees enrolled in an accredited degree program related to the needs of the business, maximum of $5,250 per calendar year, employees are eligible for the program upon hire Employee Ambassador preferred banking products

Marketing Insights and Analytics Manager--AZ, CA, CO, NV, OR, TX, WA, or UT

Wet Coast Logistics

<div><div>CLIENT HIGHLIGHT
</div><div>The client you will be working for is a Top 20 Fortune Global 500 Consumer Electronics and Technology Company. This opportunity will give you experience in the technology sector in the United States with a company that is a globally recognized leader in smartphones, televisions, home appliances, semiconductor innovation, and digital services. You will have the opportunity to contribute to data-driven product initiatives that enhance customer experiences and support innovative digital products used by millions of consumers worldwide. 
</div><div></div> 
<div>LOCATION
</div><div>Mountain View, CA 94043 
</div><div></div> 
<div>COMPENSATION
</div><div>$82 per hour 
</div><div></div> 
<div>SCHEDULE
</div><div>Fully Onsite
</div><div>Monday&ndash;Friday (40 hours per week) 
</div><div></div> 
<div>CONTRACT TERM
</div><div>12-month contract with high likelihood of extension and/or conversion to full-time employee. 
</div><div></div> 
<div>POSITION OVERVIEW &ndash; Product Manager III
</div><div>The Product Manager III is responsible for driving data-informed product decisions by analyzing product performance, identifying growth opportunities, and supporting the execution of digital product initiatives. This role partners closely with Product Managers, Engineering, Analytics, and cross-functional stakeholders to evaluate key performance metrics, manage A/B testing strategies, develop product insights, and support product launches.
</div><div>The ideal candidate combines strong analytical and business acumen with technical expertise in SQL, Tableau, and data visualization to transform complex datasets into actionable recommendations. This individual will play a key role in optimizing digital products through experimentation, performance measurement, and strategic analysis. 
</div><div></div> 
<div>KEY RESPONSIBILITIES
</div><ul><li>Monitor, analyze, and identify the underlying drivers behind key product performance metrics (KPIs) and communicate actionable insights to stakeholders.
</li><li>Evaluate digital product performance to identify opportunities for optimization and continuous improvement.
</li><li>Conduct ad hoc analyses to support personalization initiatives, strategic planning, and new product launches.
</li><li>Partner with Product Managers to drive product and business decisions through data analysis and A/B testing results.
</li><li>Design, monitor, analyze, and optimize A/B testing experiments to measure product performance and user behavior.
</li><li>Analyze the impact of proposed and implemented product enhancements using quantitative data.
</li><li>Support Product Managers in executing roadmap initiatives and delivering product enhancements.
</li><li>Develop, maintain, and manage backend product data pipelines to support reporting and analytics.
</li><li>Lead and execute strategic analytical projects that improve product performance and operational efficiency.
</li><li>Collaborate with Engineering, Analytics, and Business teams to ensure data integrity and successful product execution.
</li><li>Create dashboards, reports, and visualizations that provide meaningful business insights to leadership.
</li><li>Research and contribute to API integration initiatives from a Product Management perspective.
</li><li>Identify data quality issues across multiple systems and recommend solutions to improve data accuracy.
</li>Present findings and product recommendations to both technical and executive audiences. 
<li>
</li></ul><div></div> 
<div>REQUIREMENTS
</div><ul><li>Bachelor's degree in Computer Science, Information Systems, Business, Analytics, or a related field, or equivalent combination of education and experience.
</li><li>3&ndash;6 years of experience supporting digital products, product analytics, or data-driven product management within a large technology organization.
</li><li>Advanced SQL knowledge with experience querying large datasets and supporting product analytics.
</li><li>Experience using Tableau or other data visualization platforms such as Power BI or MicroStrategy.
</li><li>Strong business analysis and analytical problem-solving skills.
</li><li>Experience developing and monitoring KPIs, dashboards, and product performance metrics.
</li><li>Experience designing, monitoring, and analyzing A/B testing experiments.
</li><li>Familiarity with Google Analytics, Adobe Analytics, or comparable analytics platforms.
</li><li>Experience working with web applications, mobile applications, transaction systems, or digital customer experiences.
</li><li>Knowledge of database design concepts and metadata management.
</li><li>Experience identifying and resolving data quality issues across multiple data sources.
</li><li>Experience collaborating with Engineering, Product Management, UX, and cross-functional business teams.
</li><li>Understanding of API integrations and the Product Management lifecycle.
</li><li>Strong communication skills with the ability to present technical concepts and analytical findings to executive leadership.
</li><li>Demonstrated ability to manage multiple projects independently while working in a fast-paced environment.
</li><li>Exceptional critical thinking, creative problem-solving, and strategic decision-making skills.
</li><li>Self-motivated with the ability to work independently with minimal supervision.
</li>Strong project management and organizational skills. 
<li>
</li></ul><div></div> 
<div>WORKING CONDITIONS
</div><ul><li>Fully onsite position in Mountain View, CA.
</li><li>Requires extensive computer usage and daily interaction with analytics platforms, databases, and reporting tools.
</li><li>Fast-paced product environment supporting multiple digital initiatives simultaneously.
</li><li>Requires frequent collaboration with Product Management, Engineering, Analytics, and Business stakeholders.
</li><li>Must be comfortable presenting analytical findings and strategic recommendations to cross-functional teams and executive leadership.
</li><li>Ability to manage multiple priorities while meeting project deadlines and supporting ongoing product launches.</li></ul></div><div></div>

Product Manager III-Data & Analytics

Mashreq

<div>
 Job Description
 
 Designation: Assistant Manager &ndash; RBG Analytics
 
 Department: RBG Analytics
 
 Experience: 6-8 Years
 
 Location: Pakistan
 
 
 Role Purpose
 
 The Assistant Manager &ndash; AI &amp; Machine Learning will support the development of advanced analytics and AI-driven solutions to enhance digital banking performance, customer engagement, and marketing effectiveness. The role focuses on leveraging customer digital footprint data across digital channels to generate insights, develop predictive models, and optimize digital marketing campaigns and customer journeys.
 
 In addition to traditional machine learning expertise, the role requires foundational AI Engineering capabilities, including familiarity with Large Language Models (LLMs) and their application in banking use cases such as customer support automation, intelligent search, and digital engagement solutions.
 
 The role requires strong analytical capability, technical expertise in machine learning, and the ability to translate digital behavioral data into actionable insights that support business growth and customer experience initiatives.
 
 
 Ability to deliver Use cases in RM Efficiency/Productivity improvement
 
 Ability to do Analytics on Commercial Banking / Corporate Banking Portfolio and Identity Opportunities
 
 Portfolio Analytics on CASA Portfolio to support CASA Squad and Product team
 
 Bringing robust tracking and campaign fulfillment process for Liabilities /Trade Finance/ Working Capital
 
 
 Key Result Areas (KRA)
 
 1. Machine Learning &amp; Predictive Analytics
 
 - Develop and deploy machine learning models to support digital banking use cases such as customer segmentation, churn prediction, next-best-product recommendations, and campaign targeting.
 
 - Implement predictive analytics models to improve customer engagement and product adoption across digital channels.
 
 - Continuously monitor model performance and refine algorithms to improve accuracy and business impact.
 
 Digital Marketing Analytics
 
 - Support marketing teams in evaluating digital campaign performance using advanced analytics and AI-driven insights.
 
 - Build models for campaign targeting, customer propensity, and marketing attribution.
 
 - Provide insights on channel effectiveness, campaign ROI, and customer acquisition strategies.
 
 4. AI Engineering &amp; LLM Applications
 
 - Support the design and development of AI-powered solutions using Large Language Models (LLMs) for digital banking use cases.
 
 - Assist in building AI-driven tools such as chatbots, intelligent assistants, knowledge search, and automated content generation.
 
 - Integrate AI models and APIs into banking platforms and analytics workflows.
 
 - Experiment with prompt engineering and model fine-tuning to enhance AI solution performance.
 
 5. Data Preparation &amp; Feature Engineering
 
 - Extract, clean, and transform large datasets from multiple banking systems and digital platforms.
 
 - Develop feature engineering strategies to improve machine learning model performance.
 
 - Work with data engineering teams to ensure efficient data pipelines for analytics use cases.
 
 6. Collaboration with Business &amp; Product Teams
 
 - Work closely with digital banking, marketing, and product teams to identify data-driven opportunities.
 
 - Translate business requirements into analytical models and actionable insights.
 
 - Present findings and recommendations to stakeholders to support strategic decisions.
 
 
 Problem Solving &amp; Decision Making
 
 Analytical Problem Solving
 
 - Analyze complex datasets to identify patterns, anomalies, and opportunities that improve customer engagement and digital banking performance.
 
 - Apply statistical techniques and machine learning methods to solve real business challenges.
 
 AI Solution Design
 
 - Support decision-making related to the selection and application of AI/ML models, including LLM-based solutions for digital banking processes.
 
 - Evaluate trade-offs between model performance, scalability, and usability in production environments.
 
 Data Interpretation &amp; Business Insights
 
 - Translate complex analytical outputs into clear business insights that can inform marketing strategies and product development.
 
 
 Technical Skills
 
 Programming &amp; Data Analysis
 
 - Strong proficiency in Python for machine learning and data analysis.
 
 - Experience with SQL for data extraction and manipulation.
 
 - Knowledge of R is an added advantage.
 
 Machine Learning &amp; AI
 
 - Experience with machine learning algorithms including regression, classification, clustering, and recommendation systems.
 
 - Hands-on experience with libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM.
 
 AI Engineering &amp; LLM Technologies
 
 - Understanding of Large Language Models (LLMs) and their applications.
 
 - Experience working with LLM APIs and frameworks (e.g., OpenAI APIs, LangChain, or similar frameworks).
 
 - Basic knowledge of prompt engineering, embeddings, and retrieval-augmented generation (RAG).
 
 - Familiarity with developing AI-enabled applications such as chatbots or knowledge assistants.
 
 Data Processing
 
 - Experience working with large datasets using Pandas, NumPy, and big data frameworks such as PySpark or Spark.
 
 Digital Analytics Tools
 
 - Familiarity with digital analytics platforms such as Google Analytics, Adobe Analytics, or similar tools.
 
 - Experience analyzing customer digital behavior and clickstream data.
 
 Data Visualization
 
 - Ability to build dashboards and visualizations using Power BI, Tableau, or similar BI tools.
 
 
 Skills &amp; Competencies
 
 - Strong analytical and problem-solving abilities
 
 - Ability to work with large and complex datasets
 
 - Understanding of digital customer journeys and online behavior analytics
 
 - Foundational understanding of AI engineering concepts and LLM applications
 
 - Effective communication and presentation skills
 
 - Ability to translate analytical insights into business recommendations
 
 - Collaborative approach to working with cross-functional teams
 
 
 Educational Qualifications
 
 Bachelor&rsquo;s or master&rsquo;s degree in one of the following disciplines:
 
 - Computer Science
 
 - Data Science
 
 - Artificial Intelligence
 
 - Statistics
 
 - Engineering or related quantitative field Bottom of Form
</div>

Assistant Manager - Analytics (Mashreq Global Network Pakistan)

Bristol Myers Squibb

<div>Working with Us
 
Challenging. Meaningful. Life-changing. Those aren&rsquo;t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You&rsquo;ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .
<div>Location: Tampa, Florida
As a Senior Manager, Reporting and Analytics, you will be a key driver of data-driven decision-making and operational excellence within the organization. This role entails analyzing and interpreting performance data, identifying operational efficiencies, and providing actionable insights to stakeholders. Leveraging advanced analytics tools and methodologies, the individual will play a crucial role in strategic workforce planning and People Services process optimization.
Key Responsibilities
</div>As part of the People Services, Global Process Ownership team, partner with internal People Services (PS) to perform:
People Services Reporting &amp; Power BI Development
<ul><li>Design and develop interactive Power BI dashboards and automated reports that translate workforce data into clear, actionable insights for People Services leadership and stakeholders.
</li><li>Leverage data modeling to build accurate, scalable reporting solutions that support HR/Finance decision-making across recurring and ad-hoc needs.
</li></ul>Performance Measurement &amp; Data Governance
<ul><li>Define and support the development of performance measurement frameworks incorporating KPIs, goals, end-user reporting requirements, and service-level benchmarks aligned to People Services objectives.
</li><li>Ensure data accuracy and consistency across HR reporting by partnering closely with HRIS and HR systems teams.
</li></ul>HR Analytics Consulting, Stakeholder Partnership &amp; Workforce Insights
<ul><li>Serve as a trusted analytics partner to People Services teams, translating business questions into meaningful data solutions and accessible visual narratives tailored to both HR and senior business audiences.
</li><li>Collaborate with HR Centers of Excellence, HR Business Partners, and People Services leadership to understand reporting needs and deliver insights that support strategic HR initiatives and cross-functional objectives.
</li><li>Utilize descriptive, diagnostic, predictive, and prescriptive analytical approaches to surface trends, patterns, and insights across the employee lifecycle &mdash; from workforce planning and talent acquisition to performance and attrition.
</li></ul>Qualifications &amp; Experience
<ul><li>Bachelor's degree in Human Resources, Business Administration, Information Systems, Data Analytics, or a related field.
</li><li>5+ years of experience in HR/Finance Reporting &amp; Analytics or People Services operations, including hands-on work within platforms such as Workday and SAP SuccessFactors (data extraction, reporting configuration, and operational delivery).
</li><li>3+ years of experience acting as an internal analytics consultant, advising HR stakeholders and translating business needs into reporting solutions.
</li><li>Demonstrated understanding of HR/Finance data domains including workforce analytics, talent acquisition, performance management, compensation, and employee lifecycle metrics.
</li><li>Experience supporting or leading data governance initiatives, including data access controls, data quality frameworks, or stewardship programs
</li></ul>Technical Skills
<ul><li>Strong working knowledge of Power BI, including the ability to independently design, build, maintain, and enhance HR/Finance reports and dashboards.
</li><li>Proficient in data extraction, transformation, and using SQL or similar tools; experience with cloud-based data platforms such as Databricks and AWS (e.g., S3, Redshift) to support scalable reporting and analytics workflows
</li><li>Working knowledge of HR data privacy regulations and governance best practices, ensuring compliant and secure use of People Services data.
</li><li>Experience working with integrated data environments, including HR and Finance platforms, APIs, and connected data sources to support unified reporting.
</li></ul>Soft Skills &amp; Competencies
<ul><li>Strong analytical and problem-solving skills with the ability to work with large, complex HR datasets and translate findings into actionable recommendations.
</li><li>Excellent communication skills with the ability to present data findings clearly and persuasively to both HR and senior business audiences.
</li><li>Proven ability to influence and advise at all levels of an HR organization, building trust and fostering a data-informed culture.
</li><li>Actively listens to stakeholder and peer needs, provides constructive feedback, and contributes to a collaborative team learning environment.
</li><li>Demonstrates emotional intelligence, maintaining composure and sound judgment in ambiguous or high-pressure situations.
</li><li>Exhibits strong self-management skills and proactively seeks opportunities for personal and professional development.
 </li></ul>#LI-Hybrid
If you come across a role that intrigues you but doesn&rsquo;t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
<div><div><div><div><div><div><div><div><div><div><div><div><div><div>Compensation Overview:
</div></div></div></div></div></div></div></div></div></div></div></div></div></div>Tampa - FL - US: $114,670 - $138,947&amp;#xa;
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee&rsquo;s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
 
 
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/. 
 
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:
<ul><li>Health Coverage: Medical, pharmacy, dental, and vision care.
</li><li>Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
</li><li>Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
</li></ul>Work-life benefits include:
Paid Time Off
<ul><li>US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
</li><li>Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
</li></ul>Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.
*Eligibility Disclosure: T he summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.
Uniquely Interesting Work, Life-changing Careers
 
With a single vision as inspiring as &ldquo;Transforming patients&rsquo; lives through science&trade; &rdquo;, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
On-site Protocol
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
Supporting People with Disabilities
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.
Candidate Rights
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
Data Protection
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection .
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com . Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.
R1604788 : Senior Manager, Reporting and Analytics</div>

Senior Manager, Reporting and Analytics

GOOD SPORTSMAN MARKETING

<div>Description:

Turn Data into Business Decisions
At GSM Outdoors, we're passionate about creating innovative products that inspire outdoor adventures. As the parent company of more than 60 trusted brands&mdash;including Stealth Cam, Walker's, Muddy, Birchwood Casey, TRUGLO, Hunter Specialties, Big Bite Baits, Cuda, HuntStand, and many more&mdash;we rely on data to help drive smarter decisions, improve operations, and deliver exceptional customer experiences.
We're seeking an experienced Data Manager to lead our Business Intelligence, Reporting, Analytics, and Data Governance initiatives. This role will oversee the organization's data strategy, manage the Business Intelligence team, and ensure data is transformed into meaningful insights that support strategic decision-making across the business.
If you're passionate about analytics, data governance, business intelligence, and building a data-driven culture, we'd love to hear from you. 
Position Summary
The Data Manager is responsible for leading GSM Outdoors' Business Intelligence and Data Analytics functions while ensuring the integrity, consistency, and accessibility of enterprise data. This role partners closely with leaders across Sales, Marketing, Finance, Operations, Product Development, IT, Customer Service, and Executive Leadership to deliver actionable insights that improve business performance and support company growth.
The ideal candidate combines strong technical expertise with business acumen and leadership skills, helping transform complex data into strategic recommendations that drive operational excellence and innovation. 
What You'll Do
Lead the Business Intelligence Team<ul><li>
Lead, mentor, and develop the Business Intelligence and Data Analytics team.</li><li>
Establish team priorities, objectives, and performance expectations.</li><li>
Foster a culture of collaboration, accountability, continuous improvement, and innovation.</li><li>
Manage project priorities, resource allocation, and team workloads across multiple initiatives.</li><li>
Coach team members while promoting professional development and technical excellence.</li></ul> 
Drive Business Intelligence &amp; Reporting<ul><li>
Own the development, maintenance, and continuous improvement of enterprise dashboards, scorecards, and reports.</li><li>
Deliver accurate, timely, and actionable reporting across all business functions.</li><li>
Standardize business metrics, reporting methodologies, and KPI definitions across the organization.</li><li>
Design executive dashboards that provide visibility into operational and financial performance.</li><li>
Partner with business leaders to understand reporting requirements and identify meaningful business insights.</li></ul> 
Lead Data Governance &amp; Quality<ul><li>
Develop and implement enterprise-wide data governance policies, standards, and best practices.</li><li>
Ensure data quality, consistency, accuracy, and integrity across all business systems.</li><li>
Establish processes for data validation, cleansing, monitoring, and issue resolution.</li><li>
Define data ownership and stewardship responsibilities across departments.</li><li>
Promote data governance standards that support regulatory compliance and business objectives.</li></ul> 
Deliver Data Analytics &amp; Business Insights<ul><li>
Analyze business performance to identify trends, risks, and growth opportunities.</li><li>
Develop actionable recommendations that improve operational efficiency and business performance.</li><li>
Support executive decision-making through forecasting, budgeting, sales analytics, inventory planning, customer insights, and operational reporting.</li><li>
Build KPI frameworks that align with strategic business goals.</li><li>
Perform ad hoc analysis to support business initiatives, product launches, and executive requests.</li></ul> 
Support Data Integration &amp; Technology<ul><li>
Collaborate with Engineering, Product Management, DevOps, Operations, and IT teams to support enterprise data architecture initiatives.</li><li>
Oversee data integration across ERP, CRM, eCommerce, Customer Support, Marketing Automation, and Product platforms.</li><li>
Support enterprise data warehouse and cloud analytics environments.</li><li>
Identify opportunities to automate data collection, reporting, and business intelligence processes.</li><li>
Recommend technology solutions that improve scalability, efficiency, and data accessibility.</li></ul> 
Enable AI &amp; Advanced Analytics<ul><li>
Support Artificial Intelligence and Machine Learning initiatives through strong data governance and data preparation practices.</li><li>
Partner with Product and Engineering teams to provide clean, reliable datasets for AI-powered products and business initiatives.</li><li>
Help establish best practices for data management that support predictive analytics and emerging technologies.</li><li>
Stay current on advancements in business intelligence, analytics, AI, and data technologies to identify future opportunities for GSM Outdoors.</li></ul> 
Requirements:

What You'll Bring<ul><li>
Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business, or a related field.</li><li>
7+ years of experience in Business Intelligence, Data Analytics, Data Management, or a related discipline.</li><li>
2+ years of leadership experience managing Business Intelligence, Data Analytics, or Data Management teams.</li><li>
Advanced SQL and database management skills.</li><li>
Experience with Business Intelligence platforms such as Power BI, Tableau, Looker, or similar visualization tools.</li><li>
Strong understanding of:
<ul><li>Data warehousing</li>
<li>ETL processes</li>
<li>Data modeling</li>
<li>Reporting frameworks</li>
<li>KPI development</li>
</ul></li><li>Experience developing executive dashboards and enterprise reporting solutions.</li><li>
Excellent analytical, organizational, and problem-solving skills.</li><li>
Strong communication and stakeholder management abilities with the ability to translate technical concepts into business insights.</li><li>
Ability to manage multiple priorities in a fast-paced, collaborative environment.</li></ul> 
Preferred Qualifications<ul><li>
Experience with cloud-based data platforms such as AWS, Snowflake, Amazon Redshift, Databricks, or similar technologies.</li><li>
Experience integrating data across ERP, CRM, Customer Support, Product Management, Marketing Automation, and eCommerce platforms.</li><li>
Working knowledge of Artificial Intelligence (AI), Machine Learning (ML), predictive analytics, and data science concepts.</li><li>
Experience supporting consumer products, manufacturing, retail, distribution, or outdoor industry organizations.</li><li>
Familiarity with Agile development methodologies and cross-functional product teams.</li></ul> 
Why GSM Outdoors?
At GSM Outdoors, data is more than numbers&mdash;it's a strategic asset that helps us build better products, improve customer experiences, and make smarter business decisions. As our Data Manager, you'll have the opportunity to shape the company's data strategy, build scalable business intelligence capabilities, and influence decision-making across one of the outdoor industry's most recognized portfolios of brands.
Join a collaborative team where innovation, technology, and analytics come together to drive meaningful business impact.
GSM Outdoors is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace where every employee can contribute, grow, and succeed.</div>

Data Manager

Information Technology Senior Management Forum

<div><div>Posted Date 7/24/2026
</div><div>Description Data Analysis Manager - Risk Product Data
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
What you&rsquo;ll do:
<ul><li>Drive current and future strategy by leveraging your analytical skills
</li><li>Assist with building and using models to test and validate data</li>
<li>Work with vast amounts of data in new and evolving environments</li>
<li>Be a part of growing and developing our brand in new and emerging markets</li>
<li>Leverage analytics to create a customer experience above our peers</li>
<li>Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers</li>
<li>Be a part of the full life cycle of projects and see end results
</li><li>Collaborate across business units
</li><li>Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority</li>
<li>Experience real work life balance, with little travel involved
</li></ul>On any given day you will be:
<ul><li>Mining data to arrive at specific and crucial information for the organization
</li><li>Identifying and implementing process, data, and reporting improvements for the organization
</li><li>Working with large and complex databases containing millions to billions of records
</li><li>Improving operational efficiencies and effectiveness
</li><li>Conducting analysis to evaluate processes and tests
</li><li>Extracting and analyzing data to gauge product offerings
</li><li>Consulting on the design and implementation of new production and data storage systems
</li><li>Developing and implementing strategic tests of products, initiatives and marketing materials</li>
</ul>An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.
Basic Qualifications:
<ul><li>Currently has, or is in the process of obtaining a:</li>
<li>Bachelor&rsquo;s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or</li>
<li>Master&rsquo;s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.</li>
<li>At least 4 years of experience performing professional data analysis work</li>
<li>At least 4 years of experience performing programming</li>
</ul>Preferred Qualifications:
<ul><li>Master&rsquo;s Degree in a Science, Technology, Engineering, Mathematics discipline</li>
<li>At least 7 years of professional data analysis work experience</li>
<li>At least 4 years of experience with Python, R, Spark or SQL</li>
<li>At least 1 year of experience in people management</li>
<li>At least 1 years of project management experience</li>
<li>At least 1 year of experience in Tableau</li>
<li>Proficient utilizing and developing within AWS service</li>
</ul>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $164,800 - $188,100 for Data Analysis Manager 
 
Richmond, VA: $149,800 - $171,000 for Data Analysis Manager 
 
Chicago, IL: $149,800 - $171,000 for Data Analysis Manager 
 
 
 
 
 
 
 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Data Analysis Manager - Risk Product Data
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
What you&rsquo;ll do:
<ul><li>Drive current and future strategy by leveraging your analytical skills
</li><li>Assist with building and using models to test and validate data</li>
<li>Work with vast amounts of data in new and evolving environments</li>
<li>Be a part of growing and developing our brand in new and emerging markets</li>
<li>Leverage analytics to create a customer experience above our peers</li>
<li>Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers</li>
<li>Be a part of the full life cycle of projects and see end results
</li><li>Collaborate across business units
</li><li>Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority</li>
<li>Experience real work life balance, with little travel involved
</li></ul>On any given day you will be:
<ul><li>Mining data to arrive at specific and crucial information for the organization
</li><li>Identifying and implementing process, data, and reporting improvements for the organization
</li><li>Working with large and complex databases containing millions to billions of records
</li><li>Improving operational efficiencies and effectiveness
</li><li>Conducting analysis to evaluate processes and tests
</li><li>Extracting and analyzing data to gauge product offerings
</li><li>Consulting on the design and implementation of new production and data storage systems
</li><li>Developing and implementing strategic tests of products, initiatives and marketing materials</li>
</ul>An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.
Basic Qualifications:
<ul><li>Currently has, or is in the process of obtaining a:</li>
<li>Bachelor&rsquo;s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or</li>
<li>Master&rsquo;s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.</li>
<li>At least 4 years of experience performing professional data analysis work</li>
<li>At least 4 years of experience performing programming</li>
</ul>Preferred Qualifications:
<ul><li>Master&rsquo;s Degree in a Science, Technology, Engineering, Mathematics discipline</li>
<li>At least 7 years of professional data analysis work experience</li>
<li>At least 4 years of experience with Python, R, Spark or SQL</li>
<li>At least 1 year of experience in people management</li>
<li>At least 1 years of project management experience</li>
<li>At least 1 year of experience in Tableau</li>
<li>Proficient utilizing and developing within AWS service</li>
</ul>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $164,800 - $188,100 for Data Analysis Manager 
 
Richmond, VA: $149,800 - $171,000 for Data Analysis Manager 
 
Chicago, IL: $149,800 - $171,000 for Data Analysis Manager 
 
 
 
 
 
 
 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
</div><div>Salary164,800.00 - 188,100.00 Annual
</div><div></div><div><div>Type
<div>Full-time</div></div></div></div>

Data Analysis Manager - Risk Product Data

<div><div><div>Entity: CSL Behring
Job Category: Information Technology
Job Family: IT Multi Discipline
Job Type: Full Time
Location: Waltham, Massachusetts, United States
Employer Reference: R-284638
</div></div><div></div><h2 class="jobSectionHeader">Job Description</h2>
<div>
<div>An exciting opportunity is now available for a solution focused manager to join the Technology Enabled Science (TES team) at CSL. As part of the global TES team, this role builds AI/ML, Advanced Analytics, Automation &amp; Digital Agent solutions for R&amp;D scientists and R&amp;D operations. This is a hands-on builder role at the center of the CoE: turning scientific and operational use cases into working, validated software using agentic development approaches.
Key Responsibilities
Reporting to the US based senior director you will:
<ul><li>Design, build, and deploy AI models, intelligent agents, automation scripts, and scientist-facing applications across R&amp;D use cases.
</li><li>Practice agentic software development daily (e.g., Claude Code and similar tools) to deliver production-quality solutions at speed.
</li><li>Partner with R&amp;D scientists and digital leads to scope, prototype, and iterate on high-value use cases.
</li><li>Contribute to ML Ops, model documentation, validation workflows, and responsible-AI practices in a regulated environment.
</li><li>Support platform integration with enterprise data platforms and existing scientific workflows.
</li><li>Participate in capability building (hackathons, training, guilds) and end-user support.
</li><li>Track usage, performance, and value delivered.
</li></ul>Qualifications &amp; Experience
To be successful in this role you will bring:
<ul><li>Bachelor's, Master's, or PhD in a scientific or quantitative discipline (data science, computer science, engineering, computational biology, or related); scientific-domain background strongly preferred.
</li><li>5+ years combined experience in software engineering, AI/ML, analytics, or automation (research/academic experience counts), preferably touching R&amp;D or life sciences.
</li><li>Demonstrated hands-on delivery with agentic development tools (e.g., Claude Code, Codex) &mdash; building and shipping real software.
</li><li>Strong Python plus data-engineering fundamentals (SQL, pipelines, cloud &mdash; GCP/AWS); ML/time-series experience.
</li><li>Exposure to regulated/validated environments (GxP, IRB, FDA risk/validation documentation) a plus.
</li><li>An enthusiastic problem-solving mindset.
</li></ul>If you want to join an organisation that truly impacts people's lives around the world then apply now!
</div></div><h2 class="jobSectionHeader">About CSL Behring</h2>
<div>
CSL Behring is a global biotherapeutics leader driven by our promise to save lives. Focused on serving patients' needs by using the latest technologies, we discover, develop and deliver innovative therapies for people living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. We use three strategic scientific platforms of plasma fractionation, recombinant protein technology, and cell and gene therapy to support continued innovation and continually refine ways in which products can address unmet medical needs and help patients lead full lives.
CSL Behring operates one of the world's largest plasma collection networks, CSL Plasma. Our parent company, CSL, headquartered in Melbourne, Australia, employs 32,000 people, and delivers its lifesaving therapies to people in more than 100 countries.
To learn more about CSL, CSL Behring, CSL Seqirus and CSL Vifor visit https://www.csl.com/ and CSL Plasma at https://www.cslplasma.com/.
</div>
<h2 class="jobSectionHeader">Our Benefits</h2>
<div>
For more information on CSL benefits visit How CSL Supports Your Well-being | CSL.
</div>
<h2 class="jobSectionHeader">You Belong at CSL</h2>
<div>
At CSL, Inclusion and Belonging is at the core of our mission and who we are. It fuels our innovation day in and day out. By celebrating our differences and creating a culture of curiosity and empathy, we are able to better understand and connect with our patients and donors, foster strong relationships with our stakeholders, and sustain a diverse workforce that will move our company and industry into the future.
To learn more about inclusion and belonging visit https://www.csl.com/careers/inclusion-and-belonging
</div>
<h2 class="jobSectionHeader">Equal Opportunity Employer</h2>
<div>
CSL is an Equal Opportunity Employer. If you are an individual with a disability and need a reasonable accommodation for any part of the application process, please visit https://www.csl.com/accessibility-statement.</div></div>

Manager, AI & Advanced Analytics

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