Top Data & Analytics Jobs

Support analytics team by analyzing marketing and social performance, building client-facing reports and visualizations, identifying KPIs, performing data quality checks, and communicating insights and recommendations to nontechnical stakeholders. Assist with monthly reviews and collaborate on dashboarding, ETL understanding, and tool improvements.

Contract Business Analyst to coordinate cross-functional HR operations projects, map processes, analyze data with Excel and Power BI, maintain SharePoint/Microsoft 365 documentation, engage stakeholders, and produce reports, trackers, and presentations.

Support healthcare and operational analytics by extracting, validating, and analyzing claims, pharmacy, lab, and operational data. Develop and maintain reports and dashboards using SQL, Excel, and BI tools, document workflows, meet regulatory reporting needs, and present insights and recommendations to stakeholders.

Build and operate low-latency, real-time data and ETL pipelines for sports analytics products. Support production systems during live events, develop predictive analytics and APIs, and integrate complex real-time datasets into consumer and enterprise offerings.

Design, develop, and optimize cloud-based ETL/ELT pipelines and data architectures using Informatica and Databricks in AWS GovCloud. Author and optimize SQL and Python scripts, build secure RESTful APIs, perform data validation, migrations from on-premises to cloud, and troubleshoot performance issues across large datasets. Support DON Jupiter enterprise environment and related ETL frameworks.

Design and build scalable batch and real-time data pipelines on Databricks and Azure. Implement ingestion, ETL, transformation, analytics workflows, APIs and data products to support AI/ML and BI. Ensure data quality, reliability, performance, and CI/CD-driven DevOps practices while collaborating with cross-functional teams.

Design, build, and maintain scalable ETL pipelines and data architecture (data lakes, lakehouses, warehouses) in AWS. Optimize performance, ensure data quality, security and compliance, prepare data for modeling, monitor systems, troubleshoot issues, document processes, and mentor junior data engineers while collaborating with stakeholders.

Design and build data warehouse, lakehouse, and analytics solutions on Microsoft Fabric and Azure SQL. Implement Medallion Architecture, develop reliable ELT/ETL pipelines, model data for analytics, ensure data quality and monitoring, consult with clients on requirements and governance, and provide technical leadership and mentoring.

Develop and run large-scale Big Data pipelines using Spark, Phoenix, Kafka, and HBase. Work on production environments handling hundreds of TB, deploy and execute jobs on Azure HDInsight, and maintain high-performance data processing.

Serve as client-facing lead for environmental data management and sustainability strategy. Analyze energy, water, GHG, and waste performance; provide reporting and regulatory guidance; manage vendors and ESG platforms; support green building certifications (LEED, ENERGY STAR); produce high-quality reports, presentations, and deliverables; and coordinate multiple projects with strong communication and project management.