Top Data & Analytics Jobs

Analyze complex datasets, build data models, create automated Looker visualizations, and deliver actionable insights for business decisions. The role partners with IT, engineering, product, and business stakeholders to improve data pipelines and processes, applies statistical and machine learning techniques, and mentors junior analysts. The position requires strong SQL, data visualization, programming, cloud-platform, communication, and data storytelling skills.

Analyze Medicaid claims, enrollment, encounter, provider, and T-MSIS data to support healthcare payment model implementation. Translate policy and methodology into specifications, SQL code, payment calculations, attribution logic, quality measures, and operational outputs. Assess data quality across states and delivery systems, perform validation and quality assurance, document methodologies, and present findings to technical and non-technical audiences while collaborating with policy, operations, and analytics teams.

Analyze company data using SQL and Python to answer business questions, maintain trustworthy data pipelines, identify data-quality issues, and build automated dashboards, scripts, Slack bots, internal tools, and AI workflows. Partner with stakeholders to define needs, evaluate AI tools, improve processes, and document solutions for broader use.

Leads complex workforce analytics and strategic workforce planning initiatives for a Technology organization. Analyzes workforce, business, financial, talent, skills, and labor-market data; develops models, scenarios, and executive insights; advises senior leaders; influences workforce decisions; and advances analytics methodologies, tools, and capabilities. The role also mentors peers and manages multiple cross-functional workstreams amid ambiguity.

Build and maintain Terraform-managed Databricks data platforms on AWS, develop secure external data-sharing capabilities, implement data governance controls, automate audit evidence collection, and improve platform reliability, performance, monitoring, and cost efficiency. The role also involves incident resolution, on-call participation, data pipeline development, compliance collaboration, and designing secure-by-default infrastructure for publisher partners.

Lead end-to-end SAP data migration and master data governance across public and private cloud environments supporting EWM and Yard Logistics. Responsibilities include migration planning, data cleansing, mapping, transformation, loading, validation, reconciliation, cutover coordination, defect resolution, quality controls, business sign-off, and readiness reporting. The role collaborates with business data owners, SAP teams, system integrators, and vendors to establish accurate, governed, and sustainable master data processes.

Leads the Journey Intelligence Team’s analytical strategy and develops analysts. Builds measurement frameworks, customer segmentation, scalable data assets, and customer lifecycle analyses. Designs experiments, evaluates product and engagement initiatives, and translates complex findings into strategic recommendations. Partners with Product, Operations, and senior leadership to improve customer experiences across platforms and business verticals.

Own analytical projects supporting revenue, profitability, and operational performance for the insurance business. Analyze funnels, campaigns, conversions, costs, and trends; build SQL queries and Looker dashboards; automate reporting with Python; define KPIs; validate data; and present actionable recommendations to stakeholders and leadership.

Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and compliance controls, developing dbt data models, cataloging assets in OpenMetadata, automating with Python, and mentoring engineers. The role requires extensive infrastructure and data engineering experience, cloud expertise, container orchestration, and eligibility for CJIS clearance.

Design and develop data pipelines, integrations, transformations, and infrastructure across AWS, Snowflake, Airflow, and MySQL. Troubleshoot warehouse issues, validate data quality, improve pipeline reliability, and translate business needs into data engineering solutions. Interpret technical findings for client recommendations, manage workstreams, review junior team members’ work, and provide technical guidance across managed services engagements.