data analytics manager

The Home Depot

<p>Position Purpose:<br/></p><p>Responsible for leading the structure and execution of analytical projects, providing thought leadership across their vertical, managing direct reports, and partnering with other Loyalty teams to deliver on key project milestones and outcomes. Acts as thought partner with all areas of the Company, including executive leadership, operations, merchandising, marketing and e-commerce.<br/></p><p>Key Responsibilities:<br/></p><p>10% Partner with the business to conceptualize business issues and translate into appropriate analytical approaches<br/>30% Analysis of large amounts of customer data to isolate key trends and business opportunities and develop actionable solutions and recommendations<br/>30% Development and delivery of effective presentations that summarize complex analyses and inform business decisions<br/>20% Coordination of the activities of internal and outsourced customer analytics resources<br/>10% Build trusted relationship with business partners<br/></p><p>Direct Manager/Direct Reports:<br/></p><p>Position reports to Sr Manager Loyalty Program Analytics<br/>This position has direct reports<br/></p><p>Travel Requirements:<br/></p><p>Typically requires overnight travel 5% to 20% of the time.<br/></p><p>Physical Requirements:<br/></p><p>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.<br/></p><p>Working Conditions:<br/></p><p>Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.<br/></p><p>Minimum Qualifications:<br/></p><p>Must be eighteen years of age or older.<br/>Must be legally permitted to work in the United States.<br/></p><p>Preferred Qualifications:<br/></p><p>Masters degree or MBA<br/></p><p>Experience using statistics/analytics in a business or marketing setting<br/></p><p>Experience with writing database queries and working with enterprise database tools<br/></p><p>Familiarity with extremely large customer and transaction-level data set<br/></p><p>Prior experience with SQL, Python and Tableau<br/></p><p>Retail experience and/or interest<br/></p><p>Minimum Education:<br/></p><p>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.<br/></p><p>Minimum Years of Work Experience:<br/></p><p>4<br/></p><p>Competencies:<br/></p><p>History of outstanding performance in strategic thinking and analysis<br/>Experience managing all aspects of discrete projects/workstreams (relationship management, data collection, analysis, interpretation, document development, communication)<br/>Ability to develop frameworks and approaches to break complex business questions into addressable pieces<br/>Experience extracting data from and manipulating large data sets (using SAS, SQL, R, etc.)<br/>Familiarity with data mining statistical methods (Regression, factor analysis, clustering, etc.)<br/>Experience with creative data visualization techniques<br/>Experience developing executive-ready communication materials and presenting them to senior stakeholders<br/>Ability to work closely with peers and manager in flat team structure<br/>Demonstrated history of continuously learning new analytical techniques and approaches<br/>Ability to interpret and translate outputs from complex analyses into business language<br/></p>

Manager, Loyalty Program Analytics

RATP Dev

<div><h2 class="jobSectionHeader"><b>Operations Data &amp; Investigation Supervisor</b></h2><div><ul><li><div>
Fixed-term contract</div></li><li><div>
Full-time</div></li><li><div>
At least 5 years of experience (Senior level)</div></li><li><div>
Bachelor degree</div></li><li><div>
Engineering/Maintenance Manager/Expert</div></li></ul></div></div>
<br><div><div><div><div><div><b>Operations Data &amp; Investigation Supervisor</b></div></div><p></p><div><h2 class="jobSectionHeader"><b>
Mission
</b></h2><div><p>JOB PURPOSE:</p><p>
The Operations Data &amp; Investigations Supervisor is responsible for overseeing daily data analytics activities to support operational efficiency and business decision-making. The role involves managing the development of data standards, deploying automation tools, supervising the construction and analysis of datasets, and ensuring data is clean, accurate, and actionable. This position plays a critical role in transforming raw data into strategic insights through statistical analysis, visualization, and cross-departmental collaboration to inform investigations and operational improvements.</p></div></div><div><h2 class="jobSectionHeader"><b>
Profile
</b></h2><p></p><div><p>RESPONSIBILITIES/DUTIES Data Analytics Oversight</p><ul><li>Supervise daily data analytics operations to ensure timely and accurate delivery of datasets that inform operational and business strategies.</li><li>Oversee the construction of data sets to support trend analysis, strategic insights, and informed decision-making across the organization.</li><li>Lead efforts to build processing capacity and develop team capabilities in statistical modeling, analytical methodologies, and data interpretation. Data Standards and Automation</li><li>Develop and implement data standards to ensure consistency, reliability, and integrity of data used in operational analysis.</li><li>Deploy and manage automation tools for efficient extraction, transformation, and loading (ETL) of data from various internal and external sources.</li></ul><p></p><p>
Data Preparation and Analysis</p><ul><li>Manage the data cleaning and preparation process, including filtering, managing missing data, and formatting datasets for accurate analysis.</li><li>Conduct data exploration and statistical analysis to uncover patterns, relationships, and emerging trends that support continuous improvement initiatives. Data Visualization and Reporting</li><li>Create visual representations of data insights through charts, graphs, and dashboards to enhance data comprehension and stakeholder engagement.</li><li>Prepare clear and concise reports and presentations that translate complex data findings into actionable recommendations for decision-makers. Cross-Functional Collaboration</li><li>Collaborate with various departments to understand their data needs, translate business requirements into analytical solutions, and support data-driven decision-making.</li><li>Act as a key liaison between operations, investigations, and business units to ensure data analytics efforts align with organizational objectives.</li></ul><p></p><p>
ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE QUALIFICATIONS:</p><ul><li>Bachelor&rsquo;s degree in Engineering, Computer Engineering, or a related field.</li><li>High proficiency in English (spoken and written) is required. KNOWLEDGE:</li><li>Solid foundation in statistics and data interpretation.</li><li>Proficient in tools such as Excel, SPSS, SAS, Power BI, Tableau, and SQL.</li><li>Skilled in data analysis languages (e.g., Python, R).</li><li>Familiar with data preparation techniques, including cleaning and handling missing values.</li><li>Understanding of basic machine learning concepts for predictive analysis.</li><li>Capable of developing dashboards and reports for business insights.</li><li>Experienced with database systems and data visualization best practices. EXPERIENCE:</li><li>3 to 5 years of relevant experience in data analytics, or operations analysis, preferably within a supervisory or coordination role.</li></ul><p></p><p>
DESIRED BEHAVIORS &amp; EXPERIENCES</p><ul><li>Analytical Mindset: Approaches problems with data-driven thinking, using evidence and analysis to guide decisions.</li><li>Attention to Detail: Ensures data accuracy, quality, and completeness in all stages of analysis and reporting.</li><li>Proactive Leadership: Anticipates challenges in data management and takes initiative to improve processes and tools.</li><li>Effective Communicator: Clearly conveys complex data insights through visualizations, reports, and presentations tailored to various stakeholders.</li><li>Collaborative Attitude: Works closely with different teams to understand their needs and provide actionable data support.</li><li>Adaptability: Responds flexibly to shifting priorities, data demands, and evolving business requirements.</li><li>Integrity and Confidentiality: Handles sensitive data with professionalism, ensuring ethical standards and data privacy are maintained.</li><li>Continuous Improvement: Seeks opportunities to enhance data analytics capabilities and adopt best practices in tools, methods, and technologies.</li></ul></div></div></div></div><p></p><div><div><div><h3 class="jobSectionHeader"><b><br>
Location</b></h3><p></p><div><div><div><b>
Location</b></div></div><div><b>
Address</b></div></div><p>
2 El Hegaz St, &Eacute;gypte</p></div></div></div></div><div></div>

Operations Data & Investigation Supervisor

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><p><b>
Position Summary</b></p><p>
CVS Health has an exciting opportunity for a Senior Informatics Manager to join our dynamic Risk Adjustment Analytics team! In this role, you will lead and execute complex data analyses to drive health plan-level risk adjustment performance through data-driven insights and analytical leadership.</p><p></p><p>
This position manages a small team (1-2 employees) responsible for designing and delivering advanced analytics, interpreting large healthcare datasets, and translating findings into actionable strategies that improve quality outcomes and financial performance. The role partners across finance, actuary, and analytics teams to support health plan and enterprise initiatives while ensuring alignment with state Medicaid and CMS regulatory requirements.</p><p></p><ul><li> Evaluate health plan performance using advanced analytics to identify trends, gaps, and opportunities across Medicaid populations</li><li> Design and execute complex analyses leveraging medical and pharmacy claims, encounter, provider, and membership data</li><li> Translate analytical findings into clear, actionable insights to drive health plan strategies and decision-making</li><li> Develop and maintain scalable reporting, dashboards, and performance monitoring tools</li><li> Support development of data models, forecasting approaches, and performance measurement frameworks</li><li> Ensure data accuracy, integrity, and governance across reporting and analytical outputs</li><li> Identify and implement process improvements through automation and advanced analytics</li><li> Communicate complex findings effectively to both technical and non-technical stakeholders</li><li> Support compliance with CMS and state Medicaid requirements through accurate, timely reporting and analysis</li></ul><p></p><p><b>
Join this exciting opportunity to work directly with different teams across the organization and have a meaningful impact on our business!</b></p><p></p><p><b>
Required Qualifications</b></p><ul><li> 8+ years of relevant professional experience in healthcare analytics, including working with claims and encounter data</li><li> 2+ years of leadership experience managing, coaching, or mentoring team members</li><li> Experience with government-regulated healthcare programs (Medicaid, Medicare, and/or ACA)</li><li> Advanced technical skills in Google Cloud Platform (GCP)/Big Query, SQL, SAS, Python, or similar programming languages</li><li> Demonstrated experience working with large, complex healthcare datasets and performing root cause analysis</li><li> Proven ability to manage multiple projects and competing priorities in a fast-paced environment</li><li> Strong ability to translate technical analyses into actionable business insights</li><li> Excellent communication skills across technical and non-technical audiences</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li> Experience with risk adjustment methodologies and performance analytics</li><li> Knowledge of CMS and state Medicaid data, reporting, and compliance requirements</li><li> Experience with data visualization tools (e.g., Tableau, Power BI)</li></ul><p></p><p><b>
Education</b></p><ul><li> Bachelor's degree preferred or a combination of professional work experience and education.</li></ul><p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$67,900.00 - $199,144.00<p><br>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.</p><br>
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.<p><br>
Additional details about available benefits are provided during the application process and on Benefits Moments.</p><br>
We anticipate the application window for this opening will close on: 07/09/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Senior Informatics Manager, Risk Adjustment Analytics Remote

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Manager, Loyalty Program Analytics

Operations Data & Investigation Supervisor

Senior Informatics Manager, Risk Adjustment Analytics Remote

Senior Informatics Manager, Risk Adjustment Analytics Remote

Senior Informatics Manager, Risk Adjustment Analytics Remote

Senior Informatics Manager, Risk Adjustment Analytics Remote

Senior Informatics Manager, Risk Adjustment Analytics Remote