analytics senior manager

Openkyber

<div>Position Title: Senior Analytics Engineer
Location: Remote
Position Overview
We are seeking a Senior Analytics Engineer to support the modernization of analytics and reporting workflows within a Business Informatics organization. This role focuses on translating and enhancing legacy SAS-based analytics into scalable, maintainable Python-based solutions. This is not a pure software engineering role and not a traditional reporting analyst role. The ideal candidate combines strong analytical thinking, deep Python expertise, and the ability to interpret and refactor complex SAS logic while preserving business intent and output accuracy.
Key Responsibilities
<ul><li>Analyze and interpret existing SAS programs, including DATA steps, PROC SQL, and analytical procedures</li>
<li>Translate SAS-based analytics and transformations into Python using pandas, numpy, and SQL while preserving business logic</li>
<li>Partner closely with Business Informatics stakeholders to understand reporting intent, metrics, and downstream usage</li>
<li>Validate converted logic by reconciling outputs, row counts, and aggregations between SAS and Python</li>
<li>Improve and modernize analytics pipelines by simplifying logic and reducing technical debt</li>
<li>Collaborate with technology and data platform teams to ensure Python solutions align with enterprise standards</li>
<li>Document business logic, assumptions, and data transformations for long-term maintainability</li>
<li>Ensure accuracy and integrity of analytical outputs through thorough validation and testing</li>
</ul>Required Qualifications
<ul><li>Strong experience with Python for data analysis, including pandas, numpy, and SQL integration</li>
<li>Working knowledge of SAS, with the ability to confidently read and interpret existing SAS code</li>
<li>Experience translating or modernizing legacy analytics or reporting logic</li>
<li>Solid understanding of analytics concepts such as aggregations, joins, time-based logic, and derived metrics</li>
<li>Experience validating analytical outputs and ensuring data accuracy</li>
<li>Ability to collaborate with business users and translate analytical requirements into technical solutions</li>
</ul>Preferred Qualifications
<ul><li>Experience in healthcare, payer, or regulated data environments</li>
<li>Familiarity with SAS macros and common PROC workflows</li>
<li>Exposure to cloud-based analytics platforms or modern data stacks</li>
<li>Experience supporting Business Intelligence, reporting, or informatics teams</li>
<li>Background in analytics engineering or data transformation roles
</li></ul>For applications and inquiries, contact: hirings@openkyber.com</div>

OCI Analytics Cloud Engineer

The Home Depot

<div>Position Purpose:
The Sr. Manager Decision Analytics position leads the Insights and Reporting functions for Store Operations and Services divisions. This role works closely with the Director within Decision Analytics in defining the analytical strategy and approach for projects and processes and effectively manage talent. The role works cross-functionally with business partners from across Store Operations, Services, Product and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing analytical and reporting platforms, and partnering with cross-functional teams to deliver high quality analytics solutions for The Home Depot. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency for solutions and recommendations. 
Key Responsibilities:<ul><li>
60% Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions</li><li>
25% Data analytics with large volumes of data, using a wide variety of database applications / analytical tools including SQL, SAS, R, and python</li><li>
5% Data cleansing, validation, testing</li><li>
5% Enhancements / modifications to systems &amp; procedures</li><li>
5% Supporting end users, problem solving, troubleshooting</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Reports to a Director.</li><li>
This position has 2-3 direct reports.</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Master's degree in Analytics, Finance, or Information Systems or related field is preferred</li><li>
Eight or more years of experience in analytics or business intelligence is preferred</li><li>
Experience in SQL, SAS, Tableau, R, python and similar tools preferred</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
6</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
None</li></ul></div>

Senior Manager Decision Analytics - Insights & Reporting

The Brite Group

Job Summary We are seeking a highly experienced Senior Data &amp; AI Consultant to support the Department of the Air Force (DAF) in designing and implementing an enterprise-scale financial data automation ecosystem.This role will focus on integrating Financial Management (FM) data sources, automating critical workflows, and enabling advanced analytics and AI-driven capabilities to enhance operational efficiency, reduce redundancy, and accelerate audit readiness.Key Responsibilities<ul><li>Design, develop, and optimize scalable data pipelines integrating multiple financial data sources</li><li>Lead the development of automated financial workflows to reduce manual processes</li><li>Perform advanced data analysis using Python, PySpark, and SQL on large-scale datasets</li><li>Architect and implement AI/ML and Generative AI (GenAI) solutions for financial analytics and reporting</li><li>Develop and operationalize Agentic AI use cases for intelligent automation</li><li>Implement and enhance OCR solutions to extract structured data from unstructured documents</li><li>Utilize modern platforms such as Databricks, Palantir, and Microsoft Power Platform</li><li>Build dashboards, reporting solutions, and data visualizations for executive and technical stakeholders</li><li>Collaborate with cross-functional teams including finance, engineering, and government stakeholders</li><li>Present complex technical solutions and insights to leadership in a clear and actionable manner</li></ul>Required Qualifications<ul><li>Active or Interim Secret Clearance (required to start)</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or related field</li><li>8+ years of experience in data engineering, data analytics, or AI/ML development</li></ul>Strong hands-on expertise in:<ul><li>Python (including PySpark)</li><li>SQL</li><li>Proven experience working with large, complex, and distributed datasets</li><li>Hands-on experience implementing OCR technologies in production environments</li></ul>Strong understanding of:<ul><li>Artificial Intelligence and Machine Learning</li><li>Generative AI (GenAI)</li><li>Large Language Models (LLMs) and real-world applications</li><li>Experience with cloud/data platforms such as Databricks, Palantir, or Microsoft Power Platform</li><li>Excellent communication, stakeholder management, and presentation skills</li></ul>Preferred Qualifications<ul><li>Experience with Microsoft Power Automate and/or Power Apps</li><li>Prior experience supporting Department of Defense (DoD) or federal government clients</li><li>Knowledge of financial systems, audit readiness, and compliance frameworks</li><li>Experience delivering AI-driven automation solutions in enterprise environments</li></ul>Pay: $120,000.00 - $130,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Security clearance:<ul><li>Secret (Required)</li></ul>Work Location: Hybrid remote in Andrews Air Force Base, MD 20762

AI Data Consultant- Sr. Level

<div>At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. 
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:<ul><li>
Craft and convey clear, impactful and engaging messages that tell a holistic story.</li><li>
Apply systems thinking to identify underlying problems and/or opportunities.</li><li>
Validate outcomes with clients, share alternative perspectives, and act on client feedback.</li><li>
Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.</li><li>
Deepen and evolve your expertise with a focus on staying relevant.</li><li>
Initiate open and honest coaching conversations at all levels.</li><li>
Make difficult decisions and take action to resolve issues hindering team effectiveness.</li><li>
Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.</li></ul> 
The Opportunity
As part of the Data and Analytics Engineering team, you will lead the development of innovative AI solutions tailored for health systems. As a Senior Manager, you will serve as a strategic advisor, leveraging your knowledge to drive project success and operational excellence while fostering productive teams that tackle complex healthcare challenges.
Responsibilities<ul><li>Lead the creation of innovative AI solutions for healthcare systems</li><li>Serve as a trusted advisor, utilizing knowledge to enhance project outcomes</li><li>Foster collaboration within dynamic teams to address complex challenges</li><li>Drive operational excellence through creative problem-solving approaches</li><li>Cultivate relationships with stakeholders to promote alignment on project goals</li><li>Guide teams in navigating ambiguity and delivering impactful results</li><li>Promote a culture of continuous improvement and professional development</li><li>Uphold adherence to industry standards and practices in AI implementation</li></ul>
What You Must Have<ul><li>Bachelor's Degree</li><li>At least 8 years of experience</li></ul>
What Sets You Apart<ul><li>Demonstrated experience delivering production AI or GenAI use cases in a health system environment</li><li>Hands-on experience building RAG pipelines or agentic AI workflows against clinical data sources</li><li>Experience with MLOps platforms and model governance practices in regulated, PHI-handling environments</li><li>Ability to translate clinical and revenue cycle workflows into structured AI use case requirements</li><li>Familiarity with Azure OpenAI Service, AWS Bedrock, or Google Vertex AI in a HIPAA-compliant deployment context</li><li>Understanding of population health program design and how AI accelerates outcomes</li><li>Proven record of success managing healthcare AI and GenAI solutions</li><li>Experience in analytical techniques applied to healthcare use cases</li><li>Experience working with data warehouse technology including Snowflake or Databricks</li></ul> 
The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines 
 
#LI-Hybrid</div>

Applied AI Health System Engineer – Senior Manager

Palm Tree

<div>Associate/Senior Associate, Data &amp; Analytics 
 
About Palm Tree 
Palm Tree is a modern M&amp;A value creation firm that integrates financial consulting, operational consulting, and investment banking services. Founded in 2010, Palm Tree partners with private equity firms, business operators, and management teams through strategic events including acquisitions, carve-outs, recapitalizations, restructurings, integrations, and performance improvement initiatives. 
Palm Tree&rsquo;s Data &amp; Analytics practice helps private equity portfolio companies and middle-market businesses build modern, insight-driven data capabilities. Our team works alongside executive leadership to design, implement, and optimize data infrastructure and analytics solutions that provide real-time visibility into operational and financial performance.
The Senior Associate Position 
The Senior Associate is a key execution leader within Palm Tree&rsquo;s Data &amp; Analytics practice. Senior Associates manage client workstreams, build analytics solutions, and help organizations translate complex data into actionable insights. 
This role blends hands-on technical development with client-facing collaboration. Senior Associates work directly with business stakeholders to design data models, build reporting infrastructure, and implement analytics frameworks that support operational decision-making. 
The ideal candidate thrives in fast-paced environments, enjoys solving complex data challenges, and is comfortable working in entrepreneurial settings where processes and solutions are continuously evolving.
Core Responsibilities 
Data Modeling &amp; Engineering<ul><li>
Write production SQL to model, transform, and validate data across multiple source systems including ERP, CRM, and operational databases
</li><li>Build and maintain scalable data models that support reporting and analytics use cases
</li><li>Optimize query performance across complex multi-table schemas
</li><li>Document data pipelines, transformation logic, and business rules
</li></ul>Business Intelligence &amp; Reporting<ul><li>
Develop and maintain Power BI semantic models, reports, and dashboards
</li><li>Design KPI reporting frameworks that provide leadership teams with clear operational insights
</li><li>Implement row-level security and governance controls within BI environments
</li><li>Support deployment and maintenance of reporting pipelines
</li></ul>Data Strategy &amp; Client Engagement<ul><li>
Translate business questions into data requirements and analytical frameworks
</li><li>Partner with client stakeholders to define metrics, reporting needs, and data structures
</li><li>Support data governance, quality assurance, and analytics best practices
</li><li>Lead meetings and working sessions with business and technical stakeholders
</li></ul>Analytics Delivery &amp; Workstream Ownership<ul><li>
Independently manage analytics workstreams across client engagements
</li><li>Scope projects, estimate level of effort, and manage delivery timelines
</li><li>Synthesize insights from structured and unstructured data sources
</li><li>Deliver actionable recommendations that support operational and financial decision-making
</li></ul>Team Development &amp; Practice Growth<ul><li>
Mentor and support junior team members across analytics engagements
</li><li>Contribute to internal knowledge development and data architecture standards
</li><li>Support development of analytics methodologies and delivery frameworks within the practice
</li></ul>Qualifications<ul><li>
3+ years of experience in data analytics, business intelligence, or data engineering roles
</li><li>Strong SQL proficiency, including CTEs, window functions, subqueries, and complex joins
</li><li>Hands-on experience building Power BI models, DAX measures, and dashboards
</li><li>Experience translating business requirements into analytical frameworks and reporting solutions
</li><li>Strong communication skills with the ability to engage both technical and non-technical stakeholders
</li><li>Ability to manage multiple workstreams in fast-paced consulting or advisory environments
</li></ul>The ideal candidate will demonstrate strong analytical thinking, curiosity, and a willingness to solve complex data problems in entrepreneurial environments.
Preferred Experience<ul><li>
Experience working with cloud data platforms such as Azure or Snowflake
</li><li>Familiarity with ETL/ELT tools including Azure Data Factory or dbt
</li><li>Experience using Python for data transformation or automation
</li><li>Exposure to private equity or portfolio company environments
</li><li>Familiarity with ERP systems such as AS/400, NetSuite, or similar
</li></ul>Compensation and Benefits<ul><li>
Base salary range of $125,000&ndash;$150,000, with performance-based bonus opportunities.</li><li>
Comprehensive benefits package including medical, dental, and vision insurance.</li><li>
Competitive 401(k) program with employer matching contributions.</li><li>
Hybrid work environment with access to offices in Los Angeles, Chicago, and New York.</li><li>
Unlimited paid time off (PTO).</li><li>
Opportunities for career advancement within a merit-based, entrepreneurial culture.</li></ul>
_____________________________________________________________________________________
What to Expect When Applying
Whether this is your first time applying to Palm Tree or you&rsquo;ve connected with us before, you are welcome to use this portal to submit an updated r&eacute;sum&eacute;, cover letter, or other materials. Our recruiting team will thoughtfully incorporate your most recent information into your existing application profile. And yes&mdash;we do read cover letters. In fact, the cover letter is a great place to demonstrate why you're qualified for a position, even if you do not meet all requirements.
Application Confirmation 
After submitting your application, you will receive an email confirming that we&rsquo;ve received your materials.
Initial Review 
Once your application has been reviewed and added to our active candidate database, you will receive a second confirmation email. Timing for this step can vary based on current hiring needs and priorities, so we appreciate your patience.
Note: If a role is marked as an &ldquo;immediate&rdquo; opening, the posting will typically outline specific timelines for each stage of the process, including a potential start date.
Screening 
If and when a suitable opportunity arises, a member of our hiring team will reach out to schedule an introductory conversation. The timing of this step is demand-driven and can vary.
Interviews 
Qualified candidates will be invited into a formal interview process. As with earlier stages, timing may vary depending on hiring priorities and role requirements.
While we do carefully review every application, we are unable to provide individual feedback to all candidates due to application volume. We value transparency and sincerely appreciate your understanding.
Important Notice 
Palm Tree is not currently engaging outside recruiters or headhunters for this search. Unsolicited r&eacute;sum&eacute; submissions from third parties may inadvertently disqualify a candidate. All interested and qualified candidates should apply directly through this portal.
OuEl2Oo1b2</div>

Associate, Data & Analytics

The Walt Disney Company

<div>The mission of The Walt Disney Company is to entertain, inform, and inspire people around the world through the power of unparalleled storytelling. We achieve this mission by supporting and enabling the success of the exceptional Employees and Cast Members who bring our stories to life every day.
People Insights is a Center of Excellence (CoE) that enables The Walt Disney Company to attract, engage, and retain talent through compelling and actionable people analytics and insights. We integrate and transform organizational, HR, and Talent Acquisition data into a unified Business Intelligence (BI) portfolio that empowers teams to create compelling stories about our most valuable resource: our people.
As a Report Engineering Analyst, you will contribute to the design, development, and maintenance of reporting solutions and data assets that support enterprise HR decision-making. You will partner closely with senior report engineers, managers, and cross-functional stakeholders to ensure data is accurate, timely, and usable, while building strong technical and analytical skills within a governed enterprise data environment.
This position reports to the Manager, Report Engineering.
This is a temporary role with no guarantee of permanent placement.
What You Will Do<ul><li>
Design, build, and maintain Snowflake tables, views, and other data objects that support HR reporting and analytics.</li><li>
Support the development of dashboards and reports in tools such as Tableau, Power BI, or Cognos, following established design and performance standards.</li><li>
Translate business questions and requirements into well-structured queries, metrics, and visualizations with guidance from senior team members.</li><li>
Support data pipelines and transformations by writing and maintaining SQL and basic scripting (e.g., Python) as part of larger workflows.</li><li>
Perform data validation, testing, and reconciliation to ensure accuracy, consistency, and reliability of reporting outputs.</li><li>
Document data definitions, logic, and report usage to support transparency, governance, and knowledge sharing.</li><li>
Collaborate with HR partners, technology teams, and analytics peers to refine requirements and improve reporting usability.</li><li>
Support the ingestion, transformation, and reporting of employee survey data (e.g., Qualtrics) into the People Insights reporting ecosystem.</li><li>
Build and maintain reporting assets that enable HR leaders to explore employee listening data, engagement metrics, and sentiment trends.</li><li>
Partner with survey and insights teams to ensure survey data is accurately modeled, documented, and integrated with HR and organizational datasets.</li></ul>
Qualifications &amp; Skills<ul><li>
2+ years of experience in reporting, analytics, business intelligence, data engineering, or a related field.</li><li>
Experience using SQL and cloud‑based data warehouses (e.g., Snowflake or comparable platforms).</li><li>
Experience designing, building, and maintaining reports and dashboards using tools such as Tableau, Power BI, or Cognos.</li><li>
Experience working with survey platforms such as Qualtrics or analyzing employee listening data.</li><li>
Experience applying analytical and problem‑solving skills to evaluate data, identify issues, and implement solutions, with demonstrated attention to data accuracy, consistency, and quality standards.</li><li>
Experience communicating technical concepts and analytical insights to non‑technical stakeholders through clear, concise written and verbal communication.</li><li>
Experience managing multiple concurrent priorities, meeting deadlines, and delivering results in a fast‑paced, deadline‑driven environment.</li><li>
Experience adhering to data integrity, governance, and confidentiality standards when handling sensitive or proprietary information.</li></ul>
Preferred Qualifications &amp; Skills<ul><li>
Experience working with HR data, systems, and processes, including platforms such as Workday, SAP, or comparable HRIS solutions.</li><li>
Experience with Python or other scripting languages used in analytics workflows.</li><li>
Experience with Agile or iterative delivery environments (e.g., Jira, Confluence).</li><li>
Experience with GitLab and/or GitHub</li></ul>
Education<ul><li>
High School Diploma or equivalent is required</li><li>
Bachelor&rsquo;s degree in Computer Science, MIS, Engineering, Analytics, or related field is preferred</li></ul>
Additional Information
Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits.
#LI-CD1 #DisneyCommsCareers #DisneyHR #DXMedia 
The hiring range for this remote position is $105,400.00 - $140,200.00 per year, which factors in various geographic regions. The base pay actually offered will take into account internal equity and also may vary depending on the candidate&rsquo;s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.</div>

Analyst, Report Engineering - Internal Assignment (IA)/Project Hire (PH)

ECAM

<div>Business Intelligence Manager &ndash; Lead Data Strategy for a High-Growth Video Monitoring Division 
 
We are seeking a Business Intelligence Manager to lead analytics delivery and stakeholder partnership for our ECAM video monitoring business, one of GardaWorld&rsquo;s most critical and fast-growing divisions. 
 
This role is first and foremost a people and business leadership position. You will lead a team of BI analysts, act as a trusted advisor to ECAM operations and leadership, and ensure our data products are clearly understood, well-adopted, and driving measurable business performance. 
 
While you will operate within a modern enterprise data platform (Snowflake, Power BI, Fivetran, Azure, dbt, Git), your primary responsibility is not to be the most technical person in the room&mdash;it is to set direction, build trust, translate business needs into analytics strategy, and represent BI as a confident, value-adding partner to the ECAM business. 
 
What&rsquo;s in it for You:<ul><li>
Competitive Pay: $130,000 - $140,000.00 per year, plus bonus</li><li>
Work Site Location: Dallas, TX</li><li>
Comprehensive Benefits: Medical, dental, and vision insurance plans, 401(k) with employer matching contributions, paid time off (PTO) policy, paid holidays, disability coverage, and life insurance options.</li><li>
Career Growth: Career growth opportunities at ECAM</li><li>
Travel: 0-25% or as business requires</li></ul> 

Your Responsibilities<ul><li>
Leadership &amp; Team Management<ul><li>
Lead, coach, and develop a team of BI analysts, setting clear expectations around delivery quality, responsiveness, and stakeholder engagement.</li><li>
Create a culture of ownership, accountability, and continuous improvement within the ECAM BI team.</li><li>
Ensure analysts are focused on the highest-value business priorities, not just ad-hoc requests.</li><li>
Provide mentorship on communication, storytelling, and executive-ready analytics&mdash;not just technical skills.</li></ul></li><li>
Stakeholder Partnership &amp; Business Enablement<ul><li>
Serve as the primary BI point of contact for ECAM operations, customer service, and leadership.</li><li>
Build strong, trusted relationships with stakeholders&mdash;ensuring they feel heard, supported, and confident in BI outputs.</li><li>
Proactively identify opportunities where data can improve operational performance, customer experience, and strategic decision-making.</li><li>
Translate ambiguous business questions into clear analytics roadmaps and actionable insights.</li><li>
Confidently present insights, recommendations, and tradeoffs to senior leaders.</li></ul></li><li>
Analytics Strategy &amp; Delivery Oversight<ul><li>
Own the ECAM analytics roadmap, balancing short-term needs with long-term platform and reporting strategy.</li><li>
Oversee the development and evolution of Power BI dashboards, KPIs, and datasets&mdash;ensuring they are intuitive, trusted, and aligned to business outcomes.</li><li>
Partner with Data Engineering on data modeling, ingestion, and transformation priorities in Snowflake.</li><li>
Support and advocate for the ongoing migration from SQL Server&ndash;based reporting to Snowflake-centric analytics.</li></ul></li><li>
Platform, Governance &amp; Standards<ul><li>
Ensure ECAM analytics align with enterprise BI standards for data definitions, documentation, and visualization best practices.</li><li>
Support SOC 2&ndash;aligned governance, including role-based access, data security, and auditability.</li><li>
Monitor report usage, adoption, and stakeholder satisfaction&mdash;adjusting strategy as needed to maximize impact.</li><li>
Act as a bridge between enterprise data platform initiatives and ECAM-specific needs.</li></ul></li></ul> 

Your Qualification<ul><li>
Required<ul><li>
5+ years in Business Intelligence, Analytics, or Data roles, with at least 2+ years in a leadership or lead-analyst capacity.</li><li>
Proven experience partnering directly with business stakeholders, not just delivering reports.</li><li>
Strong ability to communicate, influence, and build trust with both technical and non-technical audiences.</li><li>
Solid understanding of modern BI and data platforms (e.g., Snowflake, SQL, Power BI), even if not hands-on daily.</li><li>
Demonstrated ability to prioritize work, manage expectations, and drive outcomes in a fast-moving environment.</li></ul></li><li>
Preferred<ul><li>
Experience supporting operations-heavy, service-oriented, or high-velocity businesses (security, logistics, monitoring, call centers, etc.).</li><li>
Familiarity with ELT/ETL tooling such as Fivetran, Azure Data Factory, and/or dbt.</li><li>
Experience operating within governed, compliant environments (SOC 2, role-based access, data security).</li><li>
Bachelor&rsquo;s degree in Analytics, Business, Economics, Computer Science, or related field.</li></ul></li></ul> 

ECAM: Safeguarding Sites with Innovation 
ECAM, a GardaWorld company, is a leader in security technology and remote surveillance. With a mission to deliver smarter, more efficient security solutions, ECAM protects construction sites, commercial properties, and critical infrastructure with cutting-edge mobile surveillance units, AI-driven monitoring, and professional guard services. Their integrated approach helps clients reduce risk, prevent loss, and maintain peace of mind&mdash;24/7. 
 
It is the policy of ECAM to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, veteran status, or disability in accordance with applicable federal laws. In addition, ECAM complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment including, but not limited to hiring, placement, assignment, promotion, termination, layoffs, recalls, transfers, leaves of absence, compensation, and training. It is also the policy of ECAM not to honor requests that employees be assigned on the basis of sex or any other classification protected by law, unless such request is based on a bona fide occupational qualification for that assignment.</div>

Business Intelligence Manager

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