business analytics manager

Munchkin, Inc.

<div>Who We Are:

WHY Brands Inc., a parent company of Munchkin, Inc., focuses on creating, incubating, and growing the next generation of consumer lifestyle brands. Founded in 1990, Munchkin is the leading consumer product company and most loved baby lifestyle brand behind the innovative gear and products for children, mothers, and caregivers. Munchkin has sold billions of dollars of products through our key retail partners: Target, Walmart, and Amazon and has global distribution in over 50 countries. With over 350+ patents under our belt and over 250 international product and brand design awards, we continue to create solutions that leave our customers asking, &quot;how did I ever live without this?&quot; Innovation is the core of our company DNA and has been driving our designs for over 30 years! Recognized as #8 on America&rsquo;s Most Innovative Companies list by Fortune Magazine, innovation is the core of our company DNA and has been driving our designs for 30 years!

We lead with our core values and believe that investing in the community is our responsibility. We create opportunities for every child&rsquo;s potential and well-being through the Radiant Colors program, work to create a sustainable future, and in partnership with the International Fund for Animal Welfare have committed to animal conservation.

There is no better time than now to join WHY Brands as we embark on our next and biggest growth journey, and you could be the next influential leader to play a key role in driving enormous customer-centered value and rapid growth.
Position Summary:

The Customer Planning &amp; Business Analytics Manager is responsible for driving forecast accuracy, inventory health, and in-stock performance across Munchkin&rsquo;s Walmart omni-channel business. This role serves as the primary liaison between Munchkin and Walmart replenishment and planning teams, translating data into actionable insights that support Joint Business Planning and deliver sustainable growth. The ideal candidate combines strong analytical capability with operational execution, bringing clarity to complex data and influencing cross-functional partners to achieve key business objectives. This role has expanded scope to support the total Walmart business across both brick-and-mortar and digital channels, requiring a holistic view of performance and opportunities. The position is highly analytical, with increased emphasis on translating complex data into actionable business strategies across omni-channel environments.

What You'll Do:
<ul>
<li>Own forecasting and inventory planning across Walmart stores, Walmart.com, and OGP, delivering against key KPIs including forecast accuracy, weeks on hand, and in-stock targets</li>
<li>Analyze Retail Link and internal data to identify trends, risks, and opportunities, and provide actionable recommendations to Sales and cross-functional partners</li>
<li>Partner with Walmart Replenishment and Demand Planning teams to align forecasts, receipts, and inventory strategies.</li>
<li>Lead inventory reviews and proactively resolve in-stock and supply challenges through data-driven decision making</li>
<li>Support Joint Business Planning through analytics, reporting, and identification of growth opportunities across assortment, modulars, and item performance</li>
<li>Maintain accurate records and data workbooks to provide visibility of inventory opportunities and challenges to stakeholders such as, Sales, Replenishment, Supply Chain, and Planning Teams.</li>
<li>Maintain accurate item setup and data integrity within Walmart systems (Item 360), including new item launches and pricing updates</li>
<li>Collaborate cross-functionally with Sales, Supply Chain, Marketing, and Planning teams to ensure alignment on demand, supply, and product initiatives</li>
<li>Develop regular reporting and communicate performance insights, risks, and action plans to internal stakeholders and Walmart partners</li>
<li>Support total business performance across both in-store and Walmart.com, ensuring alignment of forecasting, inventory, and sales strategies across channels</li>
<li>Translate sales opportunities and item performance into supply forecasts, partnering closely with Supply Chain and Planning to ensure alignment and minimize risk</li>
<li>Deconstruct item-level velocities to proactively manage item exits, projecting ramp-down curves to mitigate markdown exposure and excess inventory</li>
<li>Lead and support select cross-functional special projects requiring strong operational execution and task management to drive business outcomes</li>
<li>Interface directly with Walmart Replenishment and Private Brand leadership to align on forecasts, inventory strategies, and long-term business opportunities</li>
<li>Participate in select Walmart merchant meetings to support storytelling, analytics, and reinforcement of Munchkin&rsquo;s value proposition</li>
<li>Analyze IRI data to evaluate top selling Munchkin items and competitive items across all retailers to identify missing items at Walmart.</li>
<li>Oversee Walmart&rsquo;s Supply Plan and GRS through portfolio management, inventory planning, partnering with Supply Chain, Planning Team, and Walmart Sales Team to meet operational targets.</li>
<li>Other duties may be assigned.</li>
</ul>
Bring It!
<ul>
<li>Experience supporting omni-channel or eCommerce business preferred</li>
<li>Demonstrated ability to manage cross-functional projects and influence stakeholders across Sales, Supply Chain, and Finance</li>
<li>Bachelor&rsquo;s degree in Business, Supply Chain, Finance, or related field</li>
<li>3&ndash;5+ years of experience in customer planning, demand planning, replenishment, or analytics within a CPG environment</li>
<li>Hands-on experience with Walmart systems (Retail Link, Item 360; familiarity with GRS/AIMS preferred)</li>
<li>Strong analytical skills with the ability to synthesize large data sets into clear insights and recommendations</li>
<li>Proven ability to manage multiple priorities and drive results in a fast-paced environment</li>
<li>Strong cross-functional collaboration and communication skills</li>
<li>Advanced proficiency in Excel; experience with syndicated data (IRI/Nielsen) a plus</li>
<li>Minimal travel required.</li>
</ul>
We Got You Covered!

As a Great Place to Work Certified&trade; company, we are committed to offering the best to our employees. We offer a comprehensive benefits package that includes medical, vision, dental, prescription drug coverage, life insurance, wellness benefits, generous employer-matched 401(k) plan, Paid Childcare Leave, among other benefit plans. Our total rewards are top of market and include competitive salary, bonus, and opportunities to earn equity. We focus on supporting employee development and growth.

We regularly hold social functions to foster a genuine camaraderie that enhances teamwork. At our company-wide award functions, we take time to recognize the talent and dedication of the people who make Munchkin the most loved baby lifestyle brand in the world.

To learn more, visit us at www.munchkin.com.

Salary range: $100K - $130K

Munchkin welcomes and values what makes everyone unique. We&rsquo;re proud to be an equal opportunity and affirmative action employer. All hires for our team are based on qualifications, merit, and business needs. We recruit, employ, train, and promote regardless of race, color, religion, disability, sex, sexual orientation, gender identity, national origin, age, veteran status, genetic characteristic, or any other protected status.

Applicant Privacy Statement</div>

Customer Planning & Business Analytics Manager

SIGMATECH

<div>Job Description: 
About Our Organization
DASA DE&amp;C manages the Army's Security Assistance and Armaments Cooperation programs that engage allies and partners across the full spectrum of Army acquisition to achieve force dominance. We lead the U.S. Army Security Assistance Enterprise (ASAE), providing leadership, resource management and policy oversight. We build the capabilities of allies and partners, strengthen relationships with our foreign partners, and strengthen the U.S. industrial base.
Position Overview
As a Senior Management Analyst, you will lead complex analytical projects and advise IAD leadership on the development and execution of enterprise data strategies. Your primary function is to analyze how the directorate uses data and recommend improvements to its processes, systems, and strategies. You will oversee projects to modernize data infrastructure, lead initiatives to enhance data-driven insights, and mentor other analysts on best practices. This position requires a unique blend of technical data expertise, strategic thinking, and the ability to advise senior leaders on transforming complex data into actionable organizational improvements.
Core Duties and Responsibilities<ul><li>
Strategic Advisory &amp; Stakeholder Engagement: Serve as a strategic advisor to Army and DoD leadership, providing actionable insights and recommendations to improve enterprise-level decision-making processes. Build and maintain strong working relationships with OSD, industry partners, and the ASAE. Represent IAD's analytical capabilities in high-level engagements and cross-functional working groups.</li><li>
Enterprise Analytics &amp; Process Improvement: Conduct in-depth analysis of demand forecasting, production data, and resource planning to identify opportunities for organizational improvement. Lead projects to enhance automated workflows for data transformation, validation, and ingestion into Army and OSD platforms such as Vantage and Advana.</li><li>
Organizational Enablement &amp; Innovation: Advise on the design and development of innovative data applications and tools to replace legacy systems, improving efficiency and data accessibility. Identify and recommend process improvements across the data lifecycle, and support user adoption of new tools and methods to align data initiatives with mission objectives.</li></ul> 

Experience and Skills:
Essential Requirements<ul><li>
Security Clearance: Must possess and maintain an active Secret security clearance.</li><li>
Education: Bachelor's degree in a Science, Technology, Engineering, Math (STEM), Business, or a related field.</li><li>
Experience: A minimum of six (6) years of professional experience in data analytics, business analysis, or a related field.</li><li>
Technical Skills: Advanced proficiency in MS Excel (e.g., Power Query, VBA), SQL, and Python. Experience building and maintaining dashboards (e.g., Tableau, Qlik Sense, Power BI) and automating reporting pipelines.</li><li>
Leadership &amp; Communication: Demonstrated ability to lead technical projects, manage complex stakeholder relationships, and communicate analytical concepts effectively to senior leaders.</li></ul>
Preferred Qualifications<ul><li>
Experience: Previous experience working within the U.S. Government (Army preferred). Experience leading cross-functional data projects.</li><li>
Certifications: Certified Scrum Master (CSM) or formal training in AI, machine learning, or advanced business analytics.</li><li>
Domain Knowledge: Familiarity with Army acquisition processes, security cooperation programs, or defense industry practices.</li></ul>
Work Environment<ul><li>
Location: Arlington, VA.</li><li>
Travel: May be required up to 25% of the time to CONUS locations for temporary duty (TDY).</li><li>
Schedule: This is a hybrid position requiring residency in the Washington D.C. metropolitan area.</li><li>
Collaboration: Regardless of physical location, all team members are required to maintain a full virtual presence and actively participate in team meetings, discussions, and collaborative efforts via MS Teams, or other collaborative applications as directed during core business hours.</li></ul> 
From: Sigmatech, Inc.</div>

Senior Business Analytics Manager

Axuall

<div><h3 class="jobSectionHeader">About Axuall</h3>

Built with leading healthcare systems, Axuall is a clinical workforce intelligence company built on top of a national real-time practitioner data network. It enables healthcare systems, staffing firms, telehealth organizations, and health plans to accelerate clinician onboarding, improve hiring and workforce planning, and maintain accurate provider data across enterprise systems. By delivering trusted data, AI-powered insights, and seamless data exchange, Axuall empowers healthcare organizations to improve operational efficiency, strengthen clinical coverage, and support revenue capture. Axuall's investors and the organizations they represent comprise over two dozen of the nation's leading healthcare organizations that recognize the imperative to improve clinical workforce efficiency amid significant economic and staffing challenges.
<h3 class="jobSectionHeader">
About the Role</h3>

Axuall is seeking a Senior Business Intelligence &amp; Analytics Manager to lead how data is leveraged across the business to drive measurable impact. This is a high-visibility, high-ownership role reporting directly to the COO. You will operate at the intersection of data engineering, analytics, and product - owning the pipelines, models, and insights that power internal decision-making and customer-facing value.

What You'll Do
<ul>
<li>Build, maintain, and extend data pipelines across product, CRM, and third-party sources to ensure reliable, scalable data access that power analytics across the business and for customers</li>
<li>Own and manage the BI environment, including data models, transformation processes, and visualization tooling</li>
<li>Translate Axuall's data into actionable insights that drive product value, customer outcomes, and revenue growth</li>
<li>Establish and enforce standards for data quality, consistency, and governance to ensure accuracy and trust in all analytics outputs</li>
<li>Enable self-service analytics by maintaining a consistent, trusted data foundation that drives speed and confidence in decision-making</li>
<li>Develop and support AI-driven data workflows that extract insights (e.g., sentiment, patterns) to inform product strategy and customer value realization</li>
<li>Support business leaders to communicate internally and externally with data</li>
</ul><h3 class="jobSectionHeader">What You'll Bring</h3>
<ul><li>4+ years of experience in analytics engineering or data engineering within a SaaS or data-driven environment</li>
<li>Expert-level SQL and strong Python skills, with the ability to build and maintain scalable data models and pipelines</li>
<li>Hands-on experience with dbt in a production environment (experience managing large model sets preferred)</li>
<li>Strong data wrangling skills - comfort working with messy, real-world datasets</li>
<li>Experience building customer-facing dashboards or reports, including presenting findings to executive and operational audiences</li>
<li>Ability to translate data findings into clear, non-technical business narratives for executive and operational audiences</li>
<li>Strong experience with BI and analytics tools (e.g., Omni, Sigma, Tableau, or Power BI), including building governed, self-service data layers</li>
<li>Experience working with modern data warehouses (e.g., ClickHouse, BigQuery, Redshift, or similar)</li>
<li>Experience with pipeline orchestration tools (e.g., Dagster, Airflow, Prefect, or similar)</li>
</ul>
We encourage you to apply even if you don't meet 100% of the qualiﬁcations listed. We recognize that talent and potential come in many forms, and we value diverse experiences and perspectives. If you're passionate about this opportunity and believe your skills and experience align with the overall requirements, we encourage you to submit your application.
<h3 class="jobSectionHeader">
What You'll Get From Us</h3>

We offer a wide range of beneﬁts for our team including:
<ul>
<li>Comprehensive Health Insurance</li>
<li>401(k) with Employer Match</li>
<li>Wellness Stipend</li>
<li>Professional Development Reimbursement</li>
<li>Work From Home Stipend</li>
<li>Remote Work Flexibility</li>
<li>Flexible PTO</li>
<li>Paid parental leave</li>
</ul>
In addition, Axuall is committed to fostering a diverse, equitable, and inclusive workplace that reﬂects the communities we serve and empowers every employee to reach their full potential. We encourage DEI through our Diversity in Tech (DiT) Employee Resource Group along with impactful programming that supports and fosters a place of belonging for our team members every day.
<h3 class="jobSectionHeader">
Equal Employment Opportunity &amp; Pay Equity Commitment</h3>

Axuall is proud to be an equal-opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other legally protected characteristic. Axuall maintains pay-equity practices that prohibit reliance on salary history and require that compensation decisions be supported by legitimate, job-related factors.
<h3 class="jobSectionHeader">
Interview Path</h3>
<div><ul><li>Talent Acquisition Interview</li></ul>
<ul><li>Hiring Manager Interview</li></ul>
<ul><li>CFO and CPO</li></ul>
<ul><li>Reference Calls</li></ul>
<ul><li>Hiring Decision</li></ul>
</div>
This role may be performed from any U.S. jurisdiction in which Axuall is registered to do business. Please note that certain localities may impose additional employment requirements that will be addressed during the hiring process. Please also note that we are currently unable to sponsor visas. While this role is remote-first, we require employees to attend an in-person orientation at our headquarters in Cleveland, Ohio. There may also be occasional instances where travel to our HQ is needed.
<h3 class="jobSectionHeader">
Pay Transparency &amp; Compensation</h3>

Base Salary Range (Good-Faith Estimate): $120,000 - $130,000 
Classification: Full Time 
Pay Frequency: Semi-monthly

The posted range represents Axuall's reasonable and good-faith estimate of the compensation the Company expects to pay for the position at the time of this posting. Actual compensation will be based on factors such as job-related knowledge, skills, experience, and internal equity.</div>

Sr. Business Intelligence & Analytics Manager

First National Bank

<div><h2 class="jobSectionHeader">Primary Office Location:
</h2>626 Washington Place. Pittsburgh, Pennsylvania. 15219.
<h2 class="jobSectionHeader">Join our team. Make a difference - for us and for your future.
</h2>Candidates must have a degree in either Data/Business Analytics or Finance/Mathematics. Along with one of those degrees, an ideal candidate will also have 3-5 years of experience in Business Analytics and/or Corporate Finance. Programming experience is required, preferably with SAS/SQL. Familiarity with data visualization tools such as Power BI is highly preferred.
**Please note: this on-site position is based at our Financial Center in Pittsburgh, PA. Candidates must be local or willing to relocate to the area.
FNB will not provide sponsorship for employment-based visas for this position; only candidates who are legally authorized to work in the U.S. will be considered.**
Position Title: Business Analytics Analyst
Business Unit: Finance
Reports to: Manager of Business Analytics
Position Overview:
This position is primarily responsible for informing and influencing decisions across the organization using business analytics and reporting techniques. Working closely with FNB&rsquo;s lines of business, this position develops data-driven insights using technical and business skills and relies on skills in SAS and PowerBI data visualization. Those insights should promote revenue growth or expense reduction by delivering strategic analysis and reporting, improved efficiencies, and improved organizational, product, and customer analyses.
Primary Responsibilities:
Performs analytics and reporting, relying heavily on SAS to source data and PowerBI to communicate data stories. Also uses additional tools and methodologies incorporating the latest technologies and modern techniques to measure and increase awareness of organizational performance and highlight business opportunities.
Develops and produces centralized, automated, scheduled reporting and analytics to key stakeholders throughout FNB.
Supports and assists members of the Business Analytics team in completion of analytics projects. Provides technical, business intelligence, and analytical guidance to other members of the FNB analytics community in support of their business objectives.
Demonstrates a proactive approach to data accuracy by creating an environment in which inconsistencies can be easily highlighted and corrected by the appropriate team.
Creates a technical environment in which data and solutions are documented properly.
Performs other related duties and projects as assigned.
All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation&rsquo;s risk management program.
F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions.
Minimum Level of Education Required to Perform the Primary Responsibilities of this Position:
BA or BS
Minimum # of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position:
1
Skills Required to Perform the Primary Responsibilities of this Position:
MS Excel - Expert Level
MS PowerPoint - Expert Level
Detail-oriented
Excellent communication skills, both written and verbal
Ability to work and multi-task in a fast paced environment
Excellent project management skills
Experience with SAS or SQL programming languages in a professional setting is required
Experience with Microsoft PowerBI or similar is required
Familiarity with a financial organization is highly preferred
Licensures/Certifications Required to Perform the Primary Responsibilities of this Position:
N/A 
 
Equal Employment Opportunity (EEO):
It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.
FNB will not provide sponsorship for employment-based visas for this position; only candidates who are legally authorized to work in the U.S. will be considered.</div>

Business Analytics Analyst - Pittsburgh, PA

Juhayna Food Industries

<div>
 
 
 Job Overview
 
 
 
 
 
 
 The Data Analytics &amp; AI Manager is responsible for transforming data into advanced insights, predictive intelligence, and AI-driven solutions that support strategic and operational decision making across the organization.
 
 
 
 
 
 
 Strategic Management
 
 
 
 
 
 <ul>
 <li>
 Lead Advanced analytics initiatives that support business performance and strategic goals.
 </li>
 <li>
 Identify opportunities where predictive analytics and AI can improve efficiency, revenue, or cost control.
 </li>
 <li>
 Gather and translate business requirements into analytical and AI- Driven solutions.
 </li>
 <li>
 Analyze internal and external factors that impact business performance.
 </li>
 </ul>
 
 
 
 
 
 Analytics &amp; AI Enablement
 
 
 
 
 
 <ul>
 <li>
 Develop and enhance advanced analytics solutions, including forecasting and predictive models.
 </li>
 <li>
 partner with data science teams to deploy AI/ ML use cases that solve real business challenges.
 </li>
 <li>
 support automation of insights and reporting using intelligent analytics tools
 </li>
 <li>
 Ensure AI and analytics outputs are understandable, reliable, and aligned with business.
 </li>
 </ul>
 
 
 
 
 
 Reporting &amp; Insights
 
 
 
 
 
 <ul>
 <li>
 Oversee Development of dashboards and visualization that support business monitoring.
 </li>
 <li>
 Ensure KPIs and performance indicators are clearly defined and consistently tracked.
 </li>
 <li>
 Deliver monthly performance analysis reports with insights and improvement recommendations.
 </li>
 </ul>
 
 
 
 
 
 Stakeholder Collaboration
 
 
 
 
 
 <ul>
 <li>
 Act as a bridge between business teams, BI, and data science functions.
 </li>
 <li>
 Present insights and AI- Driven findings in a clear and business friendly manner.
 </li>
 <li>
 support leadership with scenario analysis and data backed recommendations.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 University degree in computer science, data analytics, information systems, business intelligence, or a related field.
 </li>
 <li>
 8-10 years of experience in analytics, business intelligence, or data roles.
 </li>
 <li>
 Experience working with analytics, predictive modeling, or AI initiatives.
 </li>
 <li>
 Excellent communication and presentation skills.
 </li>
 </ul>
 
 
 
 
 
 Technical skills
 
 
 
 
 
 <ul>
 <li>
 Experience with business intelligence tools such as Power BI, SAC.
 </li>
 <li>
 Good knowledge of SQL and data analysis tools.
 </li>
 <li>
 Exposure to analytics and AI tools.
 </li>
 <li>
 Experience working with data models and structured dataset's
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience
 
 
 
 
 
 <ul>
 <li>
 Experience in FMCG, Food &amp; Beverages industry is a plus.
 </li>
 <li>
 Experience supporting forecasting, supply chain, or sales analytics initiatives.
 </li>
 <li>
 Experience working in Agile or project-based data environments.
 </li>
 </ul>
</div>

Manager - Data & Analytics

MA'ADEN

<div><div><div><div><div>Role Purpose:
The Data Science &amp; Analytics Manager is responsible for overseeing the end-to-end execution of data science and advanced analytics initiatives that support Maaden&rsquo;s operational and business objectives. The role ensures that data science projects are delivered with high quality, reliability, and measurable impact by managing workflows, coordinating cross-functional stakeholders, and maintaining strong alignment with enterprise data, AI, and governance standards.
As an operational leader, the Manager translates business needs into actionable analytical work, supervises the development of models, analytical products, and data pipelines, and ensures their successful deployment and adoption across functions. This role plays a critical part in embedding data-driven decision-making within production, maintenance, supply chain, engineering, and other business units by enabling teams to access trusted insights, robust analytical tools, and fit-for-purpose ML/AI solutions.
Through effective project management, quality oversight, and close collaboration with technical experts and business partners, the Data Science &amp; Analytics Manager helps accelerate Maaden&rsquo;s transition to a technology-enabled, AI-informed mining enterprise. 
1. Manage End‑to‑End Data Science Delivery
<ul><li>Oversee the development, implementation, and maintenance of databases and data collection systems.
</li><li>Manage the lifecycle of ML/AI initiatives&mdash;supporting problem framing, data exploration, feature engineering, model development, validation, and preparation for MLOps deployment.
</li><li>Ensure delivery of scalable, production‑ready models in alignment with enterprise data governance and AI standards.
</li><li>Conduct statistical analysis to interpret data insights and support decision‑making.
</li><li>Apply data mining techniques to uncover patterns, trends, and relationships in large datasets.
</li><li>Develop predictive models and machine learning algorithms to forecast future outcomes as required.
</li><li>Create clear data visualizations, dashboards, and reports to effectively communicate findings to business stakeholders.
</li><li>Collaborate with cross‑functional teams to understand business needs and translate them into data‑driven solutions.
</li><li>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins.
</li><li>Stay updated on emerging techniques, tools, and technologies in data science and analytics.
</li><li>Promote experimentation, model versioning, automated retraining, and continuous improvement processes.
</li><li>Recommend enhancements to existing models and analytics workflows for greater efficiency and impact. 
</li></ul></div></div> 
<div><div>2. Data Operations
<ul><li>Partner with data engineering to design, operate, and maintain reliable data pipelines and analytical models, ensuring data accuracy, timeliness, and trustworthiness.
</li><li>Monitor data quality, resolve data issues, and enforce data best practices across teams.
</li><li>Support compliance with data security standards and relevant regulations
</li><li>Supervise the development and deployment of advanced ML models, predictive analytics, GenAI, and optimization solutions, consistent with responsibilities of analytics leadership roles.
</li><li>Ensure technical rigor across the end‑to‑end ML lifecycle: scoping data engineering modeling validation MLOps monitoring.
</li><li>Oversee production reliability, model drift management, and continuous improvement. 
</li></ul></div></div> 
<div><div>3. Team Leadership &amp; Capability Building
<ul><li>Manage and grow a multi‑disciplinary team (Lead Specialists, Senior Specialists, Data Scientists). Roles under this manager are explicitly listed in the org structure.
</li><li>Build technical excellence through coaching on ML, GenAI, statistics, feature engineering, and experimentation.
</li><li>Foster a culture of innovation, peer review, and reusable modeling frameworks. 
</li></ul></div></div> 
<div><div>4. AI Governance, Quality &amp; Standards
<ul><li>Steward high standards in model explainability, auditability, lineage, and risk management.
</li><li>Drive compliance with enterprise data governance, PDPL, and model‑risk principles referenced in internal DS/AI qualification guidance.
</li><li>Ensure adherence to Responsible AI requirements applicable to DS/AI roles (skills and qualifications guidance).
</li><li>Enforce data quality standards, lineage, and reproducibility across the team&rsquo;s projects.
</li><li>Support alignment with enterprise governance frameworks, including PDPL compliance.
</li></ul></div></div> 
</div></div>Minimum Qualifications, Experience and Competencies
Minimum Qualifications:
Bachelor&rsquo;s degree in computer science, Engineering, Data Science, Mathematics, Applied Mathematics, or Physics.
Minimum Experience:
<ul><li>10 &ndash; 12+ years&rsquo; experience in advanced analytics, ML/AI engineering, and industrial data science.
</li><li>Including at least 4 years leading or mentoring analytics professionals.
</li><li>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
</li><li>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS).
</li><li>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.
</li><li>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS).
</li><li>Proven record of enabling cross-functional business impact through scalable, production-grade data science solutions.
</li></ul>Maaden High-Performance Competencies:
Core Competencies
<ul><li>Value realization from ML/analytics initiatives (impact delivered vs. target).
</li><li>On‑time delivery of analytics roadmap.
</li><li>Adoption rate and integration of solutions into business workflows.
</li><li>Model performance stability (drift incidents, uptime).
</li><li>Team capability maturity and talent development indicators. 
</li></ul>Skills:
<ul><li>Machine Learning &amp; AI Leadership
</li><li>Programming Expertise
</li><li>Generative AI Proficiency
</li><li>Strong Analytical &amp; Statistical Skills
</li><li>Business Strategy &amp; Product Thinking
</li><li>Ethics, Governance &amp; Responsible AI
</li><li>Leadership &amp; People Management</li></ul></div>

Manager, Data Science & Analytics

Tenneco

<div><div>At Tenneco, we don&rsquo;t follow industry standards; we set them, and we don&rsquo;t settle for being best-in-class because we hustle to be better than best-in-class. Whether it&rsquo;s our Core Values &ndash; radical candor, simplify, organizational velocity, tenacious execution and win &ndash; or our Get Stuff Done (GSD) mindset, we&rsquo;re determined to become the most trusted partner and best manufacturer and distributor to the transportation industry.</div> 
<div></div>
<div>
With a product portfolio as expansive as it is innovative, an obsessive commitment to quality and excellence, and a global presence, we&rsquo;re all about getting stuff done, so we can win.</div> 
<div>
</div><div>How do we make it happen? Through the Tenneco Way. Fueled by our Core Values, a winning mindset and a relentless commitment to excellence, the Tenneco Way is how we win. It&rsquo;s what keeps Team Tenneco bold, driven, and unapologetically focused on pushing past limits and redefining success.</div> 
<div>
</div><div>Here, you&rsquo;ll work alongside a team of relentless problem-solvers who are committed to making a tangible impact. If you&rsquo;re ready to break boundaries, deliver results, and enjoy the ride along the way, you&rsquo;ll thrive here.</div><div> 
Want to learn more about who we are? Check out our website to discover the Tenneco Way</div><div>
ABOUT THE ROLE</div>
<div>
The Business Intelligence Manager leads the strategy, development, and delivery of data insights that drive informed business decisions across the organization, with a primary focus on Human Resources and People Analytics. This role transforms workforce and operational data into actionable insights that influence enterprise strategy, performance, and planning&mdash;not just people-related decisions.</div> 
<div></div>
<div>
The position serves as a bridge between HR, IT, Finance, and business leadership, ensuring data is trusted, scalable, and aligned with broader business outcomes.</div> 
<div></div>
<div>
KEY RESPONSIBILITIES</div>
<ul>
<li>Lead the enterprise people analytics and HR BI strategy, aligned with overall business and analytics objectives</li>
<li>Manage and mentor a team of BI developers, analysts, and people analytics professionals</li>
<li>Partner with senior leaders across HR, Finance, Operations, and IT to translate business questions into data solutions</li>
<li>Design, develop, and maintain dashboards and analytics products using Power BI</li>
<li>Deliver insights that support workforce strategy, financial planning, operational efficiency, and business performance</li>
<li>Oversee SuccessFactors reporting (Workforce Analytics, Stories, Ad Hoc Reports, Integration Center) and ensure data consistency</li>
<li>Build and deploy Power Apps and Power Automate solutions to improve HR and cross-functional business processes</li>
<li>Develop and govern enterprise KPIs spanning people, productivity, cost, and performance</li>
<li>Own HR data models, semantic layers, and definitions used across the business</li>
<li>Ensure data quality, governance, security, and compliance for sensitive employee and business data</li>
<li>Drive adoption of self-service analytics and data literacy across HR and business teams</li>
<li>Present insights, trends, and recommendations to executive leadership</li></ul> 
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JOB REQUIREMENTS
</div><ul><li>Bachelor&rsquo;s degree in Data Analytics, Information Systems, Business, HR, or related field</li>
<li>5+ years of experience in business intelligence, analytics, or data strategy roles</li>
<li>2+ years of experience leading analytics or BI teams</li>
<li>Advanced expertise in Power BI (data modeling, DAX, performance tuning)</li>
<li>Strong experience with SAP SuccessFactors data and reporting</li>
<li>Experience designing and delivering People Analytics solutions</li>
<li>Hands-on experience with Power Apps and workflow automation</li>
<li>Strong SQL skills and experience with enterprise data warehouses</li>
<li>Ability to translate complex data into clear, business-focused insights</li>
<li>Excellent communication and stakeholder management skills</li></ul> 
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Preferred Qualifications
<ul>
<li>Experience integrating HR, Finance, and Operational data</li>
<li>Knowledge of Azure data services or modern cloud data platforms</li>
<li>Understanding of workforce planning, productivity analysis, and organizational design</li>
<li>Experience with data privacy regulations (GDPR, employee data compliance)</li>
<li>Background in enterprise analytics transformation initiatives</li></ul> 
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Key Metrics &amp; Insights Delivered
<ul>
<li>Workforce and headcount analytics</li>
<li>Attrition, retention, and engagement trends</li>
<li>Diversity, equity, and inclusion metrics</li>
<li>Productivity and workforce cost analysis</li>
<li>Talent acquisition and learning effectiveness</li>
<li>Enterprise KPIs linking people data to business performance</li></ul> 
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Physical and Mental Requirements: The position requires the ability to sit or stand for extended periods of time; use a computer, keyboard, and other standard office equipment; and lift or move light materials as needed. The role also requires the ability to read, write, and communicate effectively; maintain focus; organize tasks; manage time; exercise judgment; solve problems; work independently; and handle routine work-related stress in a professional office environment</div> 
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We don&rsquo;t want average. We want exceptional. We want someone who&rsquo;s hungry to build, unafraid to challenge, and bold enough to lead with empathy, speed, and precision. Sound like you? Let us know.</div> 
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</div><div>Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities</div></div>

Business Intelligence Manager - HR & People Analytics

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