Top Data & Analytics Jobs in Raleigh-Durham, NC

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.

Leads business intelligence initiatives by solving complex business problems with internal and external data. Builds and optimizes Python/PySpark data pipelines, develops advanced SQL integrations, manages Databricks workflows, enforces data quality and validation, and delivers insights through Power BI. Partners with cross-functional teams and communicates findings and requirements to senior and executive leadership.

Develops business intelligence solutions using internal and external data to solve complex business problems and inform decision-making. Designs data models, taxonomies, schemas, and governance rules; builds analytics applications with Databricks, Python/PySpark, Power BI, Power Apps, and front-end technologies. Performs semantic modeling, DAX development, performance tuning, and potentially full-stack development. The fully remote role operates during Central or Eastern Time business hours and may require occasional travel.

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%.

Administers Informix, MySQL, and other databases across cloud and hybrid environments. Responsibilities include configuration, maintenance, performance tuning, security remediation, replication, monitoring, Tier 3 support, schema changes, migrations, SQL data extraction, backup recovery testing, automation, compliance, and collaboration with engineering, architecture, security, and application teams.

Provides production database administration and support for mission-critical environments, including performance monitoring, incident response, root-cause analysis, security, and availability. Develops SQL Server database objects, ETL pipelines, dimensional models, data marts, dashboards, and Splunk monitoring solutions. Designs cloud and hybrid database architectures, performs data migrations, validates data integrity, and collaborates with stakeholders on technical requirements and analytics solutions within an Agile environment.

Lead the design, implementation, and operation of production data pipelines and platform capabilities. Build integrations across APIs, files, CDC, events, cloud services, and internal systems. Improve Snowflake, dbt, and Airflow or Cloud Composer workloads for reliability, scalability, performance, and cost. Establish data modeling, testing, quality, observability, recovery, and orchestration standards. Provide architectural leadership, mentor engineers, document practices, and clarify technical and business trade-offs across teams.

Develop recurring reports, dashboards, and performance metrics; analyze user behavior, acquisition, engagement, applications, retention, monetization, and revenue trends; identify risks and opportunities; conduct ad hoc analyses; and present actionable insights to business leaders across finance, product, marketing, and customer service.

Supports real-time media monitoring, stakeholder insight analysis, data preparation, alerts, briefings, and client reports. Responsibilities include tracking news across platforms, creating Excel pivot tables, updating charts and graphics, interpreting reputation-risk scoring, conducting research, and translating data into clear narratives. The intern collaborates with analysts to identify trends and emerging risks while developing analytical, writing, and business intelligence skills.

Analyze product, program, member, client, and operational data using advanced SQL in Databricks. Define KPIs and measurement frameworks, conduct segmentation and root-cause analysis, validate datasets, develop reporting, and translate findings into actionable recommendations. Partner with Product, Engineering, Operations, Client Success, and business leaders to improve performance and support strategic decisions.

Designs, builds, tests, and maintains scalable data infrastructure and ETL/ELT pipelines for mission partners. Uses AWS Glue, Glue Catalog, and Step Functions to integrate, migrate, transform, and validate data. Develops data models, schemas, queries, and production-ready datasets while collaborating with analytics and business teams. The role may also support AI/ML pipelines, data governance, DevOps workflows, Databricks, and real-time streaming architectures.

Analyze Medicare Advantage and ACA risk adjustment data, CMS datasets, claims, encounters, eligibility, pharmacy, and medical record data. Develop SQL queries, reports, scorecards, dashboards, forecasts, and recommendations to improve risk adjustment performance, data quality, operational efficiency, and revenue. Partner with clients, executives, operations, technology, and analytics teams on solution development, process improvement, and strategic initiatives.