Top Data & Analytics Jobs

As a Data Platform Engineer, you'll architect and implement data services, build data pipelines, optimize for real-time risk assessment, ensure data governance, and collaborate across teams.

Manage the data architecture and strategic planning for the Sales team, optimizing processes through data and AI for targeting accounts and pricing strategies.

Design and maintain dashboards and ETL pipelines, write advanced SQL, perform statistical and ad hoc analyses, ensure data quality, and partner with product, engineering, sales, and executives to deliver insights. Assist with Microsoft Fabric migrations and develop derived tables using PySpark.

Lead business analysis initiatives to turn large datasets into actionable insights using SQL, analytics, automation, and AI tools. Identify fraud, risk, and process improvement opportunities, influence cross-functional stakeholders, and deliver measurable business value through data-driven recommendations and scalable solutions.

Lead analytics for sourcing strategy: design BI solutions, perform prescriptive and root-cause analyses, build predictive models, present executive visualizations, and mentor the analytics team while partnering cross-functionally to embed data-driven decision making.

Lead data-driven market and site selection for drone delivery expansion, building scalable analytics frameworks, AI-enabled decision tools, and scenario planning. Drive cross-functional alignment, executive reporting, dashboards, and strategic recommendations to optimize network performance and expansion prioritization.

Lead analytics for Internal Audit Claims: extract, transform, reconcile, and validate large claims datasets; build and maintain Power BI reports/dashboards; perform QA and tie-outs; support automation, bots/AI enablement, and executive reporting; mentor other analysts and partner with audit, IT, and business stakeholders to deliver repeatable, validated analytics.

Design and maintain scalable HR data architecture in Snowflake; build and optimize ETL/ELT pipelines with Matillion; enforce data governance, quality, lineage and security; manage SQL Server metadata environments; implement DevOps for data assets; partner with stakeholders and support AI-ready semantics and reusable data products.

Build and operate a scalable data platform using Apache Iceberg and containerized data engines. Own ETL/ELT pipelines, Docker image creation and CI/CD, automations, observability, SLA monitoring, incident response, security/compliance support, and documentation/training. Participate in on-call rotation and relocate per assignment schedule.

The Principal Data Engineer will lead the design and development of scalable data platforms, optimize data pipelines, and collaborate with multiple teams to enhance data solutions.

The Business Analyst will engage with clients and stakeholders to gather requirements, document processes, and support Agile delivery for a Money Market portal at SS&C.

Design, build, and maintain cloud-based data infrastructure and ETL/ELT pipelines (Azure, Databricks, Snowflake, Fabric). Lead cloud migrations from on-prem SQL Server, implement Medallion/Lakehouse architectures, ensure data quality and performance tuning, collaborate with analysts and data scientists, and mentor junior staff.

The VP of Data Science & Strategy will transform complex business challenges into actionable growth strategies, leveraging data to influence decisions and drive company strategy.