Top Data & Analytics Jobs

The Senior Pharmacy Business Analyst monitors pharmacy performance, identifies trends and root causes, and translates operational and financial data into actionable recommendations. The role builds Tableau dashboards, queries enterprise data warehouses with SQL, prepares executive reporting, and partners with pharmacy, Finance, Operations, and Clinical leaders. Responsibilities include recurring report ownership, quality assurance, planning support, ad hoc analysis, and communicating insights to senior stakeholders.

Designs and maintains scalable relational and NoSQL database architectures for mission-critical government systems. Responsibilities include data modeling, legacy database analysis and migration, stored procedure and query conversion, ETL development, database cluster management, performance tuning, CI/CD integration, source control, and test-data generation. The role requires collaboration with technical teams, active or obtainable DoD Secret clearance, U.S. citizenship, and up to 10% annual travel.

Leads analytics strategy and delivery for agency clients, ensuring high-quality insights, attribution, measurement, forecasting, and marketing optimization across media channels. Acts as the senior client contact, expands analytics engagements, manages scoping and profitability, and translates complex findings into actionable recommendations. Builds and mentors a high-performing analytics team while advancing data-driven decision-making, business intelligence, modeling, and customer insights.

Owns and advances BI, analytics, and data warehousing platforms. Designs Oracle BI and Power BI dashboards, develops and maintains ETL processes and data models, monitors platform performance, resolves data quality issues, and supports data governance. Collaborates with architects, IT teams, data stewards, and business stakeholders on reporting, analytics, system integrations, platform upgrades, migrations, and production changes. The role requires deep experience with Oracle BI, OAS, OBIA, ODI, Power BI, SQL, PL/SQL, and enterprise data warehouses.

Designs, develops, tests, maintains, and optimizes data pipelines and software systems using SQL, Python, and Apache Airflow. Supports technical projects, documents systems, troubleshoots application performance, evaluates user requirements, and develops technical specifications. Collaborates with epidemiologists, statisticians, and researchers, while mentoring staff and translating academic research needs into software solutions.

Develops, supports, and modernizes enterprise Oracle reports, dashboards, data extracts, and analytics solutions. Translates stakeholder requirements into technical specifications, writes and optimizes SQL, builds OTBI and OBIEE reporting solutions, creates BI Publisher models and templates, validates data, troubleshoots discrepancies, manages report security, and supports testing, deployment, production operations, documentation, and continuous improvement.

Leads integration of healthcare payer feeds and internal enterprise data into WellBe’s data platforms. Responsibilities include data mapping, transformation, validation, normalization, quality monitoring, governance, metadata and lineage management, requirements gathering, and supporting ingestion pipeline delivery. The role partners with engineering and analytics teams, serves as a subject matter expert, and ensures reliable data for value-based care, reporting, and operational use cases.

Leads the architecture, implementation, and evolution of enterprise data platforms, including Master Data Management, data lakes, lakehouses, and cloud data services. Manages data engineers and developers, establishes engineering standards, oversees Azure-based integrations and pipelines, and owns data applications, databases, security, governance, and production support. The role also directs technical strategy, manages multiple initiatives, and communicates architecture and delivery plans to stakeholders.

Supports North American operations by developing analytical tools, writing SQL and Access reports, testing support tools, troubleshooting software and hardware issues, deploying software, and improving business processes. The role gathers business requirements, evaluates outputs, implements technology solutions, supports continuous improvement, and collaborates with users and business units. Periodic travel of up to 20% is required.

Design, implement, and optimize large-scale data ingestion, cleansing, transformation, loading, replication, and display systems. Develop data pipelines, profiling, deduplication, matching logic, and custom data-source solutions. Maintain data-layer documentation, collaborate with data scientists on AI/ML workflows, and use Java technologies, REST APIs, Airflow, ETL, SQL, and Linux in a Big Data environment.