Top Data & Analytics Jobs

Build and operate scalable data pipelines, models, curated datasets, dashboards, and recurring reports for Pharmacy Operations. Translate business requirements into governed analytics solutions, perform deep-dive analysis and root-cause investigations, document metrics and metadata, and promote data quality and best practices. Partner with technical and operational stakeholders while mentoring analysts and supporting standards for modeling, visualization, testing, and maintainability.

Lead e-commerce fulfillment analytics and strategic planning across five grocery brands. Build models and market outlooks, generate actionable insights, present recommendations to executives, partner cross-functionally to optimize capacity, sales capture, and costs, and drive continuous improvement of processes and team capabilities.

Build and operate scalable growth data pipelines, models, feature datasets, and measurement systems supporting paid acquisition, ad bidding, experimentation, attribution, and audience targeting. Partner with Growth, Marketing, Analytics Engineering, and Data Science to deliver reliable data products, productionize machine-learning workflows, maintain data quality and observability, and improve platform performance, cost efficiency, and developer experience.

Build and optimize scalable batch and streaming data pipelines for Comcast’s enterprise Data Lake. Develop cloud-native solutions using AWS, Databricks, PySpark, Kafka, Kubernetes, and Airflow/MWAA. Support high-volume distributed data processing, production troubleshooting, data warehousing, automation, observability, and data quality initiatives. Collaborate with product, governance, analytics, and engineering teams, participate in architecture decisions, mentor junior engineers, and improve platform reliability and performance.

Own end-to-end data products, including source onboarding, API and file-feed ingestion, orchestration, incremental and idempotent pipelines, Snowflake and dbt Cloud modeling, testing, documentation, alerting, and production reliability. Establish engineering standards, manage secrets and governance, use AI coding tools responsibly, collaborate with vendors and stakeholders, and mentor junior engineers.

Supports the Mobile Device Data and Operations team by collecting, cleansing, enriching, and distributing product data to catalogs and vendor partners. Develops workflow designs and toolsets using KNIME or Alteryx, Oracle and Snowflake databases, and AWS. Participates in an 11-week full-time internship with professional development, networking, mentorship, and cross-functional activities.

Lead data engineering efforts by designing, developing, testing, and supporting scalable data pipelines and movement solutions. Build cloud-based systems using Python, SQL, Spark, Kafka, Snowflake, and Databricks; optimize data models, quality, governance, and performance; collaborate with Agile teams and product managers; conduct code reviews and testing; and mentor engineers while applying emerging technologies and interactive AI tools.

Leads technical delivery of Master Data Management solutions using Informatica MDM and PowerCenter. Designs and implements ETL mappings, workflows, transformations, data quality processes, governance practices, SQL data marts, and Python automation. Oversees MDM specialists, monitors production jobs, troubleshoots operational issues, supports testing and validation, tunes performance, documents technical solutions, and collaborates with state agencies, QA, business teams, and project leadership.

The Sr. IT Business Analyst develops specifications, leads testing and training, optimizes supply chain solutions, and coordinates cross-functional projects.

Design, develop, and support enterprise ETL workflows and data pipelines using Informatica PowerCenter and PowerExchange. Process mainframe data, implement transformations and business rules, optimize SQL, and work with relational and NoSQL databases. Monitor and troubleshoot ETL jobs, validate data quality, maintain technical documentation, and collaborate with business analysts, QA, and application teams to translate requirements into technical solutions.