Top Senior Data & Analytics Jobs

As a Decision Analytics Consultant, you'll leverage RWD and RWE analytics to support pharmaceutical clients by generating insights and conducting analyses for evidence generation and HEOR studies.

The Quantitative Methodologist Expert will design and deliver complex quantitative research solutions, applying advanced methodologies to address business questions and drive data-driven outcomes.

Collaborate with teams to integrate data into product development, conduct analysis, create dashboards, and provide insights to guide decision-making.

Own and operate the end-to-end consumer data pipeline: ingest, clean, transform, and unify multi-source behavioral data into a deduplicated identity graph. Build and run batch and streaming pipelines, enforce data-quality and observability, support low-latency AI query access, perform root-cause incident analysis, and ensure privacy, compliance, and clear data lineage. Collaborate across product and fulfillment teams to maintain SLAs and document data contracts and architecture.

As a Senior+ Agentic Analytics Engineer, you will design and deploy AI systems that provide actionable insights, build analytics tools, and manage the analytics-to-action pipeline to drive business decision-making using AI.

Provide Regional Content Management and GEOINT support. Advise on data delivery methods, analyze data for enhancements, and develop workflows. Present instruction on GEOINT usage and maintain map services using ESRI Portal technology.

As a Data Architect, responsible for leading the Enterprise Data Management project, supporting project goals, data governance, quality, and ensuring effective data delivery and analysis.

Design, build, and maintain scalable data pipelines and platform infrastructure. Define data governance, monitoring, and quality standards. Partner cross-functionally with Product, Engineering, Analytics, and Data Science. Drive technical decisions, performance optimization, and infrastructure-as-code for a growing data platform supporting patients, providers, and business teams.

Design and build data infrastructure, pipelines, and integration solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, apply data modeling and DAGs, use Databricks, Airflow, and Hadoop, and collaborate with clients to deliver actionable insights.

As a Senior Data Operations Analyst, you'll manage and analyze data operations, ensuring quality data flows, troubleshooting processes, and collaborating with teams to enhance data integrity and reporting.

Consult with clients on marketing-mix-modeling (MMM) analytics: define business questions, wrangle and analyze multi-source data, identify trends, perform quantitative analyses, and translate insights into actionable, measurable recommendations for stakeholders.

Lead Consumer and Client tracking programs (CSAT, NPS), manage VoC platform (Medallia), perform advanced statistical analysis on large survey and operational datasets, integrate generative AI for text analysis and automation, build executive dashboards (Tableau/Looker), partner cross-functionally, and oversee external research vendors to drive product and business decisions.

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.