Top Data & Analytics Jobs in Raleigh-Durham, NC

Provides hands-on technical leadership for foundational data engineering and analytics engineering. Owns multi-year data architecture, production pipelines, dimensional models, and trusted metrics spanning cloud costs, traffic, infrastructure, and AI usage. Designs new datasets integrating cost, utilization, performance, and reliability signals; establishes standards, coaches engineers, aligns stakeholders, and drives adoption across Infrastructure, Finance, Data Science, and Product Engineering.

Design and implement scalable analytics/data models and dbt pipelines, manage Databricks, build dashboards and BI solutions, partner with business stakeholders, support CRM/marketing analytics, and explore GenAI/ML opportunities to deliver reliable, automated data products.

Owns Voice of Customer measurement, customer research, surveys, segmentation, personas, and family experience metrics. Analyzes qualitative and quantitative feedback, develops actionable insights, supports predictive modeling, and presents recommendations to marketing, operations, and executive stakeholders. The role requires survey design, statistical significance testing, SQL querying, executive communication, and translating customer research into business decisions.

Build and maintain reporting suites, dashboards, analytical models, and quantitative analyses that support business decisions. Partner with leaders across Operations, Risk, Servicing, Finance, Product, and Sales to investigate complex questions, generate actionable insights, and identify growth opportunities. Collaborate with data engineers to ensure accurate data delivery while managing multiple cross-functional projects and communicating findings through clear, persuasive narratives.

Own and evolve production data systems supporting healthcare, claims, billing, analytics, and reporting. Design resilient ingestion patterns, data contracts, models, schemas, and pipelines that handle incomplete, duplicated, delayed, and changing data. Improve performance, observability, failure handling, retries, backfills, and replay safety. Collaborate with engineering, product, operations, and analytics teams while making architecture decisions and documenting technical changes.

Build and maintain Power BI reports, dashboards, semantic models, and operational analyses for warehouse and eCommerce operations. Use DAX, Power Query, SQL, and data modeling to analyze productivity, labor, capacity, service, and performance drivers. Establish KPI definitions, validate data quality, automate reporting, monitor refreshes, and translate findings into recommendations. Partner with Operations, Finance, IT, and Data Engineering, document reporting processes, train users, and support business reviews.

Own solution design, implementation, and debugging for Hightouch’s Identity Resolution product. Work directly with customer data architectures, configure identity models, write SQL against data warehouses, investigate data discrepancies, explain system behavior, and surface product gaps. Partner with sales engineering, support, technical account management, and executives to deliver customer solutions and advise on data strategy. Use coding agents while reviewing implementation quality and maintaining best practices.

Consult with financial institutions to analyze consumer credit and loan performance, evaluate underwriting and decision rules, develop data-backed lending recommendations, produce client reports/dashboards, and lead engagements using MeridianLink decisioning platforms and BI tools.

Leads the architecture, design, and implementation of scalable GCP and Databricks data lakehouse platforms. Designs real-time and batch pipelines, data models, governance, cataloging, security, and performance optimization. Advises clients, translates business requirements into technical solutions, leads project teams, mentors engineers, reviews architectures, and balances strategic planning with hands-on proof-of-concept and troubleshooting work.

Build analytical frameworks, measurement methodologies, and decision support to drive enterprise decisions across marketing, loyalty, pricing, menu, media, and operations. Mine and integrate customer, transaction, digital, and operational data; develop segmentation, predictive models, and dashboards; lead test-and-learn, incrementality, and forecasting efforts; translate analysis into clear business recommendations and scalable decisioning tools.