Top Data & Analytics Jobs

Build and maintain Power BI dashboards and Salesforce reports; analyze sales, pipeline, forecast, pricing, margin, manufacturing, procurement, and cost data. Reconcile Salesforce and ERP information, maintain CRM data quality, produce recurring reporting packages, and support sales operations. Develop Excel analyses, document reporting processes, identify trends and discrepancies, and clearly communicate findings to sales, operations, and executive stakeholders.

Analyze Medicare Advantage and ACA risk adjustment data, CMS datasets, claims, encounters, eligibility, pharmacy, and medical record data. Develop SQL queries, reports, scorecards, dashboards, forecasts, and recommendations to improve risk adjustment performance, data quality, operational efficiency, and revenue. Partner with clients, executives, operations, technology, and analytics teams on solution development, process improvement, and strategic initiatives.

Build, maintain, and support production-grade data pipelines and platform capabilities. Responsibilities include ingestion, transformation, orchestration, data modeling, testing, monitoring, quality, governance, performance optimization, cost management, CI/CD, and infrastructure automation. The role partners with Analytics, Data Science, Finance, Risk, Marketing, Product, and Engineering teams while supporting Snowflake-based warehouse systems and AI-assisted development initiatives.

Design and maintain Power BI or Tableau dashboards, analyze performance trends across multiple systems, monitor contractual benchmarks, and produce reports for leadership, quality assurance, and compliance teams. Train staff to interpret data visualizations and support data-informed decisions, accuracy, continuous improvement, and improved workforce service delivery.

Own marketing analytics and measurement across campaigns, paid media, partners, field marketing, and demand generation. Build attribution models, forecasts, scenario analyses, Tableau dashboards, experiments, and predictive models. Translate data into strategic recommendations and budget decisions for marketing leaders, maintain data quality across martech systems, partner cross-functionally on performance reporting, and mentor junior analysts while establishing analytics best practices.

Establish and lead the People Analytics function, building trusted workforce data foundations, governance, privacy standards, analytical products, workforce planning capabilities, and AI-enabled decision support. Partner across HR, Finance, IT, and business leadership to deliver executive insights, improve workforce decisions, and scale analytics operations. Recruit and develop the analytics team while ensuring responsible data use, global-local compliance, stakeholder adoption, and alignment with organizational priorities.

Develop and implement enterprise data governance frameworks, policies, standards, and processes. Own and govern master data management, improve data accuracy and system integration, configure MDM workflows, resolve data quality issues, and identify automation opportunities. Translate business needs into technical requirements, facilitate cross-functional data committees, monitor SLA compliance, and promote data governance best practices across the organization.

Leads Pacific Life’s Operations Data Analytics function, setting strategy, governance, roadmaps, standards, and resource plans. Oversees reporting, dashboards, KPI standardization, data modeling, forecasting, predictive analytics, and executive insights. Partners with Operations Transformation, Technology, Finance, Risk, and business leaders to improve efficiency, customer experience, quality, and financial performance. Manages senior analytics professionals, capacity planning, prioritization, budgets, stakeholder adoption, data quality, and continuous improvement.

Supports Compliance Monitoring, Testing, and Data Enablement through data gathering, validation, analysis, dashboards, reporting, documentation, quality testing, and process improvement. The intern will use tools such as Excel, Power BI, Python, SQL, and Power Automate while maintaining data accuracy, confidentiality, and consistency. The role involves identifying trends and data issues, documenting reporting logic, supporting automation, and communicating progress under team guidance.

Develop demand forecasts, capacity and staffing plans, gap analyses, and what-if scenarios. Build recurring and ad hoc reports using Looker and spreadsheets, monitor real-time performance, investigate variances, and provide actionable recommendations to business leaders and operations stakeholders.