Top Data & Analytics Jobs

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Lead people analytics strategy and delivery of dashboards, reporting, and insights. Partner with HR and business leaders to analyze hiring, retention, diversity, engagement, and org health. Ensure HR data integrity and governance across systems, build executive-ready visualizations, and apply statistical and predictive methods to inform workforce planning and talent strategies.

Design, develop, and maintain enterprise Power BI dashboards and reports. Integrate data from SQL Server, Azure, Excel and other sources, perform data modeling and DAX calculations, validate data, and document data models and reporting logic while partnering with business stakeholders.

Lead claim analytics, operations analytics, and workforce management teams to produce timely, accurate reports and insights. Partner with business and IT to analyze trends, optimize contact center resources, ensure data integrity, support data governance, mentor analysts, and deliver monthly and quarterly reporting to stakeholders.

Build and operate large-scale backend data pipelines and ETL/ELT workflows for ingesting, validating, normalizing, enriching, and storing high-volume data. Implement Java-based services, batch and streaming processing (Beam, Spark, Dataflow), orchestration (Airflow), and cloud infrastructure (GCP). Improve data quality, observability, and reliability while collaborating with product and platform teams to deliver production-grade data acquisition solutions.

Conduct research pushing experimental and causal-methodologies in public opinion, develop tools and prototypes to analyze experimental data, and communicate findings to internal teams and clients to inform platform features and insights.

Lead data workstream for complex implementations: collect, validate, transform and upload large datasets into VMS, perform ETL and rate audits, ensure data quality and governance, mentor junior analysts, and communicate status to clients and stakeholders.

Lead design, build, and optimize scalable ELT/ETL pipelines and data architectures to support analytics and filing-ready statistical reporting. Partner with Actuarial and Compliance, ensure data quality, mentor engineers, and introduce tooling and best practices.

Perform end-to-end analytical projects: source, clean, analyze, and synthesize data to answer commercial and operational questions. Communicate findings to investment teams and portfolio leadership, partner with data science and engineering, build reusable tools, and apply GenAI to accelerate workflows.

Serve as the bridge between Finance/Accounting and IT to translate requirements into ERP/financial system solutions. Lead process harmonization, data governance, cleansing, migration and reconciliation, and identify automation/reporting improvements. Support vendor evaluations, UAT, training, change management, and stakeholder engagement to drive system adoption and operational readiness.