Top Senior Data & Analytics Jobs in Philadelphia, PA

Own supervisory data management and governance as a subject matter expert. Define data quality rules, metrics, monitoring, issue remediation, taxonomies, metadata, and cataloging practices. Partner with business, IT, and platform teams to improve data reliability, accessibility, lifecycle management, and future AI readiness. Translate business needs into technical requirements, facilitate adoption of governance practices, and communicate recommendations to technical and executive audiences.

Designs and develops scalable data architectures, pipelines, data warehouses, and analytics solutions across on-premise, cloud, and hybrid environments. Performs data wrangling and discovery, collaborates on business intelligence initiatives, mentors data engineers, contributes to technical capability development, and supports project planning and estimation.

Analyzes operational performance metrics, generates recurring and ad hoc reports, audits data integrity, identifies process issues, and recommends improvements. The role builds reporting tools, consolidates data, compares performance against budgets, evaluates strategic proposals, and provides analytical insights to support business decisions. It requires independent judgment, collaboration with management, and flexibility to work nights, weekends, and variable schedules.

Supports client data and analytics engagements by designing validation approaches, building data integration and transformation solutions, analyzing data quality issues, testing pipelines with SQL, documenting findings, and recommending corrective actions. The role collaborates with clients, manages workstreams, mentors junior team members, and applies Agile methods while delivering risk and regulatory data solutions.

Develop and improve IP geolocation automation algorithms using large datasets and IP network topology. Query, extract, and transform data with SQL, R, Python, MongoDB, and BigQuery; provide insights that improve data quality; and collaborate with engineers, data scientists, and stakeholders to solve complex problems and lead data science initiatives.

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.

Develop and support enterprise business intelligence and data solutions using Power BI, Microsoft Fabric, Power Query, DAX, SQL, automation, and AI technologies. Responsibilities include data transformation, modeling, visualization, reporting, governance, integration, semantic model development, and citizen development enablement. The role collaborates with business and technical teams, mentors users, supports enterprise data architecture, and promotes scalable, secure, high-quality BI practices.

Leads and mentors the Data Engineering team while designing, building, and optimizing a cloud-native healthcare data platform. Responsibilities include scalable batch and streaming pipelines, FHIR-based ingestion, data modeling, governance, security, lineage, documentation, and compliance with HIPAA and SOC 2. The role partners with DevOps and cross-functional teams to deliver reliable data assets for analytics, machine learning, and GenAI, using Databricks, Snowflake, AWS, and modern transformation tools.

Supports enterprise data governance by developing data principles, policies, standards, business rules, and quality monitors. Profiles and analyzes datasets, identifies anomalies and trends, performs root cause analysis, documents requirements, evaluates governance software, and collaborates with data stewards and business and IT users to resolve data quality issues. The role also supports PJM’s Master Data Management platform and communicates analytical findings.

Analyzes and converts customer, account, and financial data into the Finxact core banking system. Performs data mapping, testing, mock conversion validation, and user acceptance guidance while documenting requirements and collaborating with clients on business needs and integration outcomes.