Top Analytics Jobs in Raleigh, NC

The Senior Analytics Engineer will design and implement scalable data solutions for Finance Analytics, reconcile data accuracy, and collaborate across teams to enhance financial datasets and reporting workflows.

As a Data Analytics Intern, you will gain hands-on experience with data analytics through designing dashboards in Power BI and Tableau, analyzing datasets, and supporting cross-functional teams with reporting needs.

This role involves defining the strategy for the analytics platform at Fidelity Investments, overseeing development, engineering, and ensuring operational excellence in analytics solutions.

The analyst will own planning for launches, build forecasting models, partner with stakeholders, and drive data-driven decisions using AI and analytics.

The Analyst I will own analytics workflows, drive improvements, build data models, and support business metrics while collaborating across teams.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

The Analyst II will analyze data to optimize fraud strategies, develop machine learning models, and collaborate with teams to enhance product safety.

Lead design and development of data analytics solutions: build and optimize Python and complex SQL pipelines on Snowflake/Oracle, manage ELT/ETL, create Atscale/Power BI/Tableau data models and dashboards, ensure QA and documentation, liaise with business partners, and advise on architecture, risk, and technical strategy for finance-focused analytics initiatives.

Lead analytics engineering for enterprise-grade dimensional models, governance, and semantic layers. Drive cross-team initiatives, Snowflake and Sigma administration, dbt project architecture, observability, and AI/agent enablement while mentoring engineers and establishing operational guardrails.

Embed with a core business area to define problems, build metrics, run analyses and experiments, generate actionable insights, and drive product, growth, AI, or partnership outcomes end-to-end.

Lead end-to-end analytics for an assigned business area (growth, product, AI, or partnerships). Define problems, build metrics, reports, experiments, and analyses, surface insights, and drive recommendations and execution to improve key business outcomes.

Embed with a core business area to define problems, build reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end across growth, product, AI, or partnerships.

Lead a team supporting Epic analytics and clinical/operational systems. Oversee daily operations, project coordination, testing, reporting, data governance, staffing, training, and vendor interactions. Design scalable data models and pipelines (Microsoft Fabric, SQL Server, Power BI), ensure data quality, and present findings to executive stakeholders while maintaining system availability and compliance.

Build and maintain data infrastructure, integrate veterinary partner systems, develop dbt models and pipelines, provide analytics modeling, testing, reporting, and deliver actionable insights to customers and internal teams.

Lead and grow a BI and analytics team to build scalable, AI-enabled reporting and self-service analytics. Partner with cross-functional stakeholders to deliver executive dashboards, standardize metrics, ensure data quality and governance, and use AI tools to automate insights and accelerate dashboard development.

Lead a small analytics team (staff data scientist + two analysts) to deliver curriculum, product, and program insights. Split time between people management (60-70%) and hands-on analysis (30-40%), advance experimentation and measurement, build AI/LLM-driven agentic workflows, manage sprints and cross-functional stakeholder relationships, and drive analytics that inform curriculum, product, and intervention strategies.

Design, build, and own Sardine's internal data platform and billing infrastructure. Implement and maintain ETL/ELT pipelines, warehouse partitioning, access controls, and data governance. Partner with stakeholders to define KPIs, produce dashboards, and ensure data quality for executive, GTM, product, and finance teams.

Senior individual contributor responsible for shaping digital product strategy through analytics. Partner with product, technology, and engineering to define KPIs, lead analysis across web and app channels, support experimentation, and translate insights into executive-ready recommendations to improve conversion, engagement, and long-term customer value.

Implement, audit, and optimize Google Analytics and GTM tracking; ensure data integrity and ingestion into the data warehouse; run analyses, A/B tests, and funnel/segmentation work; document implementations and collaborate with marketing, product, and data teams to provide actionable insights.

The Data and Analytics Consultant will design, develop, and implement data reporting, visualizations, and analytics solutions for clients while assisting them in data understanding and value extraction.

The Senior Manager of Risk Analytics will lead credit risk strategies, manage portfolio performance, optimize decisioning frameworks, and drive business growth through analytics and predictive modeling.

Lead analytics for Medicare Advantage value-based contracts, providing medical cost and outcomes research, financial modeling, performance monitoring, and strategic recommendations. Manage complex provider relationships, ensure contract compliance, drive provider performance, advise on negotiations and deal terms, and integrate reporting to meet financial, clinical, and efficiency targets.

Manages clinical data analytics, providing expertise in areas like risk adjustment and quality measures, mentoring staff, and driving operational improvements. Oversees analytics support and communication with clinical leaders, ensuring effective data usage for strategic decision-making.

Oversees analytics reporting and provides critical analysis to support strategic decisions across various business functions. Leads teams, develops reporting solutions, monitors metrics, and manages business processes.

The Senior BI Analytics Engineer will design and deliver data models for analytics, ensuring data quality, and collaborating across teams to enhance AI-driven reporting and querying capabilities.