Top Data & Analytics Jobs

Build customer health scores, churn and expansion analytics, retention dashboards, automated alerts, and executive reports. Maintain integrations among databases, CRM, and BI tools while improving data quality and standardizing reporting. Lead AI adoption for analytics, validate generated insights, and enable customer-facing teams to make informed retention and expansion decisions. Requires strong BI, logistics or supply chain analytics, dashboarding, data integration, communication, and customer-focused skills.

Leads a seven-person operational data engineering team responsible for APIs, relational data platforms, legacy and migrated data integration, and transactional data scalability. Establishes priorities with product and technical stakeholders, provides technical guidance, manages delivery risks and resources, improves operational reliability, and develops team capabilities. The role partners across Engineering, Architecture, Product, Security, Infrastructure, Operations, vendors, and business stakeholders to deliver scalable data solutions aligned with organizational objectives.

Develop and optimize Pacsun’s enterprise MicroStrategy environment, including schemas, semantic layers, dashboards, dossiers, reports, and performance tuning. Integrate generative AI, natural-language queries, predictive analytics, anomaly detection, and RAG-enabled use cases. Write complex Snowflake SQL, support ETL/ELT processes, enforce governance and security, troubleshoot platform issues, document solutions, collaborate with business stakeholders, and mentor junior developers.

Summer Data Engineering internship supporting the data engineering team. Candidates should be rising juniors or seniors studying Computer Science, BIS, MIS, or a related field, with basic Microsoft Word and Excel skills, 40 WPM typing speed, strong communication and organizational abilities, and the capacity to multitask.

Build CodeRabbit’s foundational BI capabilities, executive and board-level dashboards, governed dbt data models, and self-serve analytics workflows. Analyze finance and go-to-market performance, including ARR, pipeline, margins, forecasting, and billing. Partner with Finance, GTM, and leadership to establish trusted metrics, improve data infrastructure, and develop agentic tools that generate reviewed dashboards and insights.

Owns the enterprise Power BI ecosystem, including data modeling, ETL/ELT pipelines, dashboards, reporting, administration, governance, security, and support. Leads BI implementations, platform maintenance, testing, documentation, process improvements, stakeholder training, and adoption of Microsoft Fabric, Databricks, and AI-enabled analytics. Requires strong Power BI and Azure Data Factory expertise, business requirements translation, analytical problem-solving, communication, and potential people leadership. Travel up to 20% domestically and internationally is required.

The Senior Applications Analyst oversees Business Needs Assessments for Oracle Cloud ERP, optimizing applications and translating business requirements into system designs. Responsibilities include leading documentation, managing the application lifecycle, and collaborating with technical teams to ensure functionality and data integrity.

The Senior Analytics Engineer builds and maintains data models, ETL pipelines, analytics products, business intelligence solutions, and visualizations. The role partners with stakeholders, Data Governance, Data Science, and Data Platform teams to define metrics, improve data quality, support AI and machine learning initiatives, and establish software engineering practices. Additional responsibilities include DataOps, workflow orchestration, technical documentation, business advising, and emergency response support. The position requires advanced SQL and Python skills, data engineering experience, and travel up to 10%.

Develop enterprise BI dashboards, reports, semantic models, and analytical solutions using Power BI, SQL, and Azure platforms. Translate business requirements into governed data models, implement DAX and Power Query solutions, optimize performance, and support data quality, lineage, security, audit, and regulatory reporting. Collaborate with Claims, Underwriting, Finance, Operations, Data Engineering, and executive stakeholders while integrating insurance and third-party data sources.

Develop and maintain data pipelines, infrastructure, and integrations supporting analytics, data science, and business intelligence. Ensure data quality and integrity, optimize workflows, and collaborate with Operations, IT, Accounting, HR, Property Services, Marketing, and other departments. The role requires SQL Server, programming, shell scripting, cloud, containerization, version control, and data pipeline knowledge, with occasional travel and flexible scheduling as project deadlines require.