Top Data & Analytics Jobs

Performs land-cover data production, quality assurance, remote-sensing and GIS analysis, and processing of raster and vector datasets. Responsibilities include working with imagery, LiDAR, elevation data, map services, metadata, automated GIS workflows, and derivative products such as maps, statistics, StoryMaps, and web applications. Supports NOAA coastal management projects independently and collaboratively.

Customer-facing technical leader who architects, builds, and optimizes large-scale data engineering and lakehouse solutions on Databricks. Supports pre-sales and delivery with POCs, performance/load testing, workload sizing, migrations, observability, and adoption through workshops and community engagement.

Leads enterprise data architecture and big data initiatives supporting mission and operational objectives. Designs scalable architectures for structured, semi-structured, and unstructured data; translates requirements into data systems, analytics, and visualization solutions; guides engineering teams; and develops strategies for high-volume, high-velocity, and real-time data environments. Collaborates with multidisciplinary teams to generate operational insights from complex datasets.

Enterprise Analytics interns support data analysis and visualization projects across healthcare operations. They conduct exploratory and advanced analytics, use Tableau and analytical tools, participate in the full project lifecycle, collaborate with analytics team members and business leaders, define business problems, and communicate actionable insights. The role offers flexible scheduling of up to 40 hours weekly.

Own the Finance and Operations data layer, integrating systems into Snowflake and Omni, building reusable data models, dashboards, governed metrics, validation checks, and reconciliation workflows. Partner with Finance, Operations, and Data teams to translate business processes into trusted analytics, improve data quality, automate reporting, and support leadership decision-making.

Build data pipelines, tools, and infrastructure for large-scale data warehousing alongside experienced data engineers. Work with AWS, Redshift, Glue, ECS, DMS, Fivetran, Airflow, DataHub, Terraform, Python, and SQL while partnering with Risk, Commerce, Marketing, Operations, and Finance stakeholders. Interns will ship production improvements, present their work, and gain practical experience in data engineering at a fintech startup.

Analyzes healthcare claims, provider, pharmacy, and enrollment data to identify trends, improve data quality, optimize workflows, reduce costs, and support business decisions. Translates business needs into requirements, develops complex SQL queries, validates data, recommends process improvements, coordinates projects, and serves as a liaison among operations, research and development, IT, and external partners. Also mentors team members and communicates technical findings to nontechnical stakeholders.

Owns and codifies business definitions and calculation methods for legal spend analytics, audits legacy Excel/PowerPoint artifacts, validates analyses (SQL and AI), supports reporting and storytelling for senior law department and C-suite audiences, and helps migrate analyses into modern analytics tooling.

Lead architecture and hands-on engineering to design, scale, and govern a cloud-native lakehouse using Databricks and Microsoft Fabric. Build batch/streaming pipelines, ensure HIPAA-compliant PHI handling, produce analytics-ready datasets, mentor engineers, and drive platform strategy, governance, and reliability.

Own the architecture and hands-on development of Tala’s shared data and analytics platforms. Build semantic layers, governed business metrics, data models, pipelines, services, tooling, and AI-enabled analytics workflows. Lead cross-functional technical initiatives spanning Product, Engineering, Analytics, Finance, and Accounting; improve governance, reliability, usability, and documentation; resolve architectural bottlenecks; and mentor engineers through technical leadership.