Top Data & Analytics Jobs

Analyzes business and system requirements, translates them into functional designs, and supports technology enhancements and quality initiatives. Collaborates with stakeholders on project scope, timelines, testing, demos, and implementation. Monitors system usage, investigates errors and exceptions, assists with UAT, tracks project progress, communicates risks, and serves as a technology subject matter expert within the mortgage and secondary market domain.

Designs and maintains scalable data pipelines, ETL/ELT processes, metadata repositories, data catalogs, and governance solutions. Responsibilities include data integration, modeling, lineage, quality monitoring, cloud data platform engineering, automation, and support for analytics and AI/ML workloads. Partners with architects, analysts, scientists, governance teams, and business stakeholders to improve data discoverability, compliance, and self-service analytics.

The Category Analyst leads sales and category analytics for Costco, tracking initiative performance, regional and store-level trends, inventory, promotions, assortment, and innovation. They use syndicated and household panel data to develop actionable insights, forecasts, presentations, and recommendations for sales, marketing, supply chain, brokers, and buyers. The role also manages recurring performance reviews, data storytelling, cross-functional communication, and regional growth analyses.

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.