Top Data & Analytics Jobs

Build and own Shepherd’s canonical analytical layer using dimensional modeling and dbt. Partner with actuarial, reporting, operations, engineering, and other data consumers to define trusted business entities, facts, dimensions, relationships, and rules. Establish testing, reconciliation, documentation, lineage, and adoption practices; evaluate and migrate existing models and datasets; and shape semantic context for human and AI-assisted analytics.

Designs, deploys, tests, and supports integrations connecting systems, software, databases, and business processes. Investigates integration issues, implements continuous improvements, and provides technical expertise to internal teams, customers, carriers, vendors, and third parties. The role also requires building ETL processes, data warehouses, tables, and pipelines; querying SQL data; creating reports and dashboards; performing statistical analysis; programming in R or Python; and managing teams or external vendors.

Analyze healthcare billing, payment, and medical review datasets; develop monitoring summaries and statistical analyses; support federal healthcare policy research; and collaborate with analysts and policy experts on project-based analytical solutions.

Own and evolve UJET’s data platform, including MySQL CDC replication to BigQuery, dbt transformations, Terraform infrastructure, pipelines, data quality, observability, and Looker models. Build reliable, analytics-ready datasets and trusted metrics for internal and customer-facing reporting. Partner with Analytics, Finance, Product, and Engineering to deliver scalable data solutions, improve platform reliability, optimize performance and costs, and establish development standards and guardrails.

Build and support production data pipelines, Databricks workflows, dimensional models, semantic models, and enterprise integrations using Azure, SQL, Python, and PySpark. Own solutions from requirements through deployment, monitoring, and support. Investigate data discrepancies, improve data quality, modernize legacy systems, and assess downstream impacts on Power BI and business metrics. Partner with stakeholders across healthcare and business functions, mentor technical teammates, and establish engineering standards for testing, CI/CD, documentation, and governance.

Owns workforce master data management and governance across UKG, Oracle, LMS, and related HR technology platforms. The role assesses cross-system impacts, coordinates data integrity efforts, establishes standards and controls, analyzes data quality issues, supports reporting and roadmap initiatives, and guides stakeholders on data ownership and usage. It requires strong HR technology, data governance, analytical, communication, and cross-functional influence skills without direct people management responsibility.

Ten-week hybrid summer internship focused on data, analytics, and automation within a community bank. Interns receive hands-on experience, mentorship, coaching, onboarding, and opportunities to contribute to meaningful business work and present a team project to senior leadership. Candidates should demonstrate communication, organization, initiative, teamwork, problem-solving, and proficiency with Microsoft Office tools.

Design, implement, and maintain data pipelines, integrations, and data architecture using Snowflake and related tools. Support insurance-sector consulting engagements by analyzing data, developing solutions, troubleshooting engineering issues, and presenting recommendations to clients. Collaborate with cross-functional stakeholders, apply data governance and quality practices, and contribute to multiple initiatives. The role requires consulting experience, financial services knowledge, strong communication, and travel of up to 75%.

Develops and optimizes enterprise database environments across SQL Server and Azure platforms. Responsibilities include query and execution-plan tuning, indexing, database design, monitoring, incident response, backup and recovery, high availability, security, compliance, capacity planning, automation, documentation, and collaboration with development and DBA teams. The role supports ETL/ELT, data warehouses, lakehouses, and large-scale datasets, participates in on-call support, and may travel up to 10%.

Leads enterprise data management strategy, governance, master data, data quality, metadata, lineage, and stewardship initiatives. Establishes standards, controls, ownership, and operating models while partnering with business and technology leaders. Oversees cross-functional programs, data integration for acquisitions, stakeholder communications, and enablement for analytics, automation, and AI. Ensures trusted, compliant, and reliable data across enterprise platforms.