Analytics Engagement Manager I
Location
United States
Posted
9 days ago
Salary
$104K - $117K / year
Seniority
Mid Level
Job Description
Analytics Engagement Manager I
Public Partnerships | PPL
• Support the execution of analytics initiatives under the guidance of senior analytics leaders. • Perform data analysis, reporting, and research to address defined business questions and operational challenges. • Assist in requirements gathering, project planning, and solution development for analytics engagements. • Manage assigned deliverables and timelines while proactively communicating risks, dependencies, and obstacles. • Contribute to the development of dashboards, reports, and analytical tools that support business decision-making. • Develop, maintain, and optimize SQL queries, datasets, and reporting solutions. • Utilize Python and related analytical tools to perform data manipulation, analysis, and automation activities. • Support data transformation, validation, and quality assurance processes. • Collaborate with managers, senior managers, and cross-functional business partners to understand analytical needs and deliver meaningful insights.
Job Requirements
- Bachelor's degree in Computer Science, Statistics, Economics, Engineering, Information Systems, Mathematics, Business Analytics, or a related quantitative field; equivalent combination of education and experience may be considered.
- Two (2) to four (4) years of professional experience in analytics, business intelligence, data analysis, consulting, or a related field.
- Strong SQL skills with demonstrated ability to develop complex queries utilizing joins, common table expressions (CTEs), aggregations, and window functions.
- Working knowledge of Python for data analysis, data manipulation, and automation.
- Understanding of data modeling concepts, including conceptual, logical, and physical data models.
- Excellent written and verbal communication skills with the ability to explain technical concepts to non-technical audiences.
- Ability to manage multiple priorities and work independently within established deadlines.
Benefits
- Health insurance
- Professional development opportunities
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
• Execute complex HR data transactions and system activities across global HR platforms, ensuring accuracy, compliance, and adherence to established processes and service levels. • Maintain HR data integrity by supporting audits, controls, and data quality activities while proactively resolving discrepancies. • Deliver timely and accurate reporting and data insights that support operational and business decision-making. • Support HR systems administration activities, including access management, testing, enhancements, automation initiatives, and data validation. • Identify opportunities to streamline processes, improve data quality, and enhance service delivery through automation and digital capabilities. • Develop, maintain, and audit knowledge articles, process documentation, and work instructions to ensure alignment with standard operating procedures. • Participate in cross-functional projects, system enhancements, process improvement initiatives, and data migration activities that support the evolution of Global HR Shared Services.
• Own the CX Analytics Engineering roadmap, distilling requests from Operations, Compliance, Risk, WFM, BizOps, and Product teams into a prioritized backlog • Drive program execution across data model builds, pipeline development, dashboard delivery, and regulatory reporting workstreams • Build and automate project management processes • Partner with CX Operations leadership, Compliance, and Data/Platform Engineering to resolve pipeline dependencies • Implement testing, monitoring, and documentation standards • Leverage AI-assisted workflows and tooling to compress speed-to-insight
Senior Manager, Healthcare Analytics
Centene CorporationTransforming the health of the communities we serve, one person at a time.
• Drive the execution of analytics strategy through the discovery, development, and implementation of leading-edge analytics that answer important business questions • Align talent and resources to support enterprise and health plan needs by leveraging data to achieve strategic objectives and improve business performance • Lead the planning and execution of enterprise-wide analytics projects and strategic initiatives, translating business goals into actionable solutions • Lead development efforts as a liaison with business and technical partners, including managing stakeholder expectations, requirements gathering, testing, deployment and user adoption • Prioritize team work, manage customer expectations and relationships, and maintain alignment of deliverables with business needs and strategic objectives • Serve as a strategic domain contact as well as point of escalation and accountability to ensure customer partnership and satisfaction • Partner cross-functionally at all levels of the organization and communicate findings and insights to non-technical business partners • Independently engage with business leaders to understand market-specific levers and constraints • Leverage enterprise reporting tools to rapidly deliver data-driven insights and recommendations • Lead cross-team project collaboration between state-based health plans and business units, including IT, Finance, Network Development, and Payment Integrity • Mentor, manage, and ensure the continuous development of a team of analysts
• Support the migration of data sources into production environments while ensuring the accuracy, reliability, and integrity of data processes • Contribute to a strategic initiative focused on ingesting and transforming various BDX data sources • Apply robust validation and quality-control logic • Deliver meaningful claims analytics and insights to business stakeholders • Validate and ensure the reasonability of data decisions, including handling duplicate claims and identifying line of business and claims-made vs. occurrence data • Review fidelity of validation and configuration logic: confirm appropriate columns are checked, ensure configurations are logical and functional, verify validation failures are handled correctly • Identify data anomalies in policy or related datasets and escalate to appropriate teams




