Top Analysis Reporting Jobs in Raleigh, NC

Own and maintain the commercial SQL Server database, data pipelines, integrations, master and reference data, validation processes, and external market-data ingestion. Build trusted datasets connecting sales, product, customer, territory, and market information to Power BI reporting. Troubleshoot production incidents, improve pipeline reliability and performance, document data lineage and definitions, and serve as the commercial analytics data expert while partnering with stakeholders and source-system owners.

Designs, builds, tests, and supports enterprise data pipelines and Snowflake archival solutions for acquisitions, integrations, reporting, compliance, and analytics. Translates business and technical requirements into mappings, transformations, quality rules, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams. Oversees validation, monitoring, documentation, cutover, go-live readiness, hypercare, and operational handoff while improving reusable, secure, cost-efficient data engineering practices.

Analyzes personal lines insurance and digital product performance using SQL, BI tools, statistical methods, and financial modeling. Partners with product, experience, actuarial, finance, and operations teams to identify growth opportunities, optimize digital customer experiences, assess risks, support business cases, and influence leadership decisions. Applies AI and automation to improve analytical efficiency, communicates insights through presentations and reports, and mentors colleagues.

Designs, builds, and operates reliable Azure data pipelines using Databricks, Azure Data Factory, PySpark, Spark SQL, and Delta Lake. Responsibilities include batch and streaming ingestion, ELT transformation, dimensional modeling, data quality enforcement, CDC, schema management, monitoring, alerting, governance, CI/CD, documentation, and operational support. Partners with architects, BI developers, and stakeholders to deliver analytics-ready datasets and improve pipeline performance, reliability, and cost efficiency.

Designs, builds, tests, and supports enterprise data pipelines for acquired-company system integration and Snowflake archival. Translates business and technical requirements into mappings, transformations, quality controls, monitoring, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams to deliver governed, reusable data solutions. Supports migration, cutover, validation, documentation, hypercare, and operational handoff while improving automation, performance, cost efficiency, and data observability.

Supports Oracle GoldenGate replication environments through monitoring, configuration, testing, troubleshooting, documentation, automation, and reporting. The intern assists with database administration and operational support, investigates replication latency and synchronization issues, and collaborates with database administrators, engineers, and project teams. This is a full-time, 12-week, in-person internship for currently enrolled students pursuing relevant computer science or information technology degrees.

Build scalable production-grade ETL/ELT pipelines on Databricks using PySpark, Spark SQL, Delta Lake, Delta Live Tables, and Workflows. Develop data ingestion, transformations, quality rules, orchestration, monitoring, and automation across Bronze, Silver, and Gold layers. Apply dimensional data modeling, streaming, cloud platforms, CI/CD, governance, security, performance tuning, and lakehouse architecture. Explain technical concepts and architecture decisions using real project examples.

Leads client experimentation and personalization programs across web, mobile, and media channels. Designs testing roadmaps, hypotheses, KPIs, audiences, and statistical parameters; oversees test execution, quality assurance, monitoring, and analysis. Translates results into executive recommendations, ROI projections, and strategic action plans. Advises clients on experimentation maturity, governance, prioritization, and best practices while training internal and client teams. Manages stakeholder relationships, concurrent roadmaps, and opportunities for account growth.

Design, build, and operate Azure-based data pipelines and integrations. Consolidate data from multiple sources into centralized SQL systems, perform transformations and field mapping, and maintain data warehouse capabilities. Troubleshoot quality, integrity, latency, security, and reliability issues while applying governance, monitoring, and SLA practices. Collaborate with engineers, analysts, and stakeholders in Agile pods to deliver reusable, analytics-ready data assets.

Leads business intelligence and data strategy by integrating organizational systems, analyzing large datasets, and delivering actionable insights. Advises leadership and revenue-generating teams on attendance, visitor experience, fundraising, profitability, and operational improvements. Oversees data modeling, visualization, process design, project execution, budgeting, stakeholder collaboration, mentoring, and data-driven decision-making.