Top Data & Analytics Jobs

Senior individual contributor owning digital measurement across web, mobile, and marketing channels. Responsibilities include tag management, data layer design, server-side and client-side collection, analytics platform administration (Adobe/GA4), BI reporting, SQL-based validation, cross-functional enablement, and governance of privacy-first measurement strategies to translate digital behavior into actionable marketing and product insights.

Design, build, and optimize ETL pipelines and data platform architecture using Airflow, BigQuery, Python, and Spark. Lead technical decisions, mentor engineers, collaborate with product and stakeholders, and improve data-quality and testing frameworks to support data-driven products.

Design, implement, and maintain ETL pipelines and data movement between on‑premises systems and cloud platforms (Microsoft Fabric). Use low-code/no-code tools, AI, and automation to deliver real‑time reporting and analytics. Monitor performance, test and validate data flows, integrate SaaS and on‑prem systems, document solutions, and collaborate with IT, researchers, and business units to meet data requirements and improve processes.

Lead end-to-end data collection, cleansing, mapping, and analysis across multiple systems to detect billing anomalies, reduce revenue leakage, and improve audit readiness. Build scalable monitoring, reporting, and visualizations using SQL, Python, and Power BI. Investigate discrepancies, maintain data interfaces and rules, and translate findings into actionable recommendations for senior leadership.

Entry-level BI Developer responsible for building reports, data extracts, ETL code, and dashboards. Learn data sources and BI tools, support analyses, document processes, and communicate findings while participating in training.

Design and implement large-scale GCP-based data platforms and ETL using PySpark/Spark, BigQuery, Dataproc, Composer/Airflow. Process and analyze large datasets, write SQL, collaborate on BI delivery, and work in a mature Agile team.

Design, build, and scale cloud lakehouse data products (Databricks/Snowflake) from ingestion to analytics-ready datasets using medallion architecture. Develop reusable Python frameworks, Spark pipelines, and dbt/SQL transformations. Implement data modeling, governance, observability, validation, and SLA monitoring. Troubleshoot production issues, adopt AI to accelerate engineering, and provide technical leadership, code reviews, architecture decisions, and mentoring for global engineering teams.

Lead and grow the Data Engineering team to design, build, and optimize enterprise data pipelines, ODS and warehousing (Snowflake/IDMC). Drive data governance, data cataloging, quality frameworks, ETL/ELT architecture, cross‑functional stakeholder alignment, and mentor staff while translating business strategy into data roadmaps for P&C insurance domains.

Build and maintain scalable cloud data pipelines and governance to support analytics across claims, EHR, and real-time patient data. Deploy and operate Snowflake/dbt/AWS-based infrastructure, enable real-time analytics, partner with clinical, product, and engineering teams, and deliver insights that inform care delivery, payer collaboration, and business decisions.

Manage area-level pricing strategy and exceptions to support margin goals. Analyze margins, identify pricing opportunities, support bids and new-customer pricing, maintain pricing processes and reporting, and partner with sales and pricing leadership using Sigma, Tableau, and pricing systems.