Top Senior Data & Analytics Jobs in Ogden, UT

Lead design, build, and optimize scalable ETL/ELT data pipelines and analytics platforms using Databricks and Spark. Integrate and transform source data into analytics-ready layers, maintain data documentation and lineage, optimize SQL Server performance, collaborate with product and engineering teams, and apply AI-enabled tools responsibly to drive business insights.

Lead business intelligence efforts to analyze complex data, define KPIs, identify operational inefficiencies, and recommend process improvements. Collaborate with cross-functional teams and executives to implement data-driven strategies, manage improvement projects, monitor resource allocation, and ensure compliance with policies and regulations.

Own Mixpanel and partner closely with Product to turn product-level data into decision-grade insights. Define instrumentation and event taxonomy, build dashboards and notebooks, run cohort and retention analyses, design and analyze A/B tests, and collaborate with data engineers to model product event data. Document metrics, maintain a living glossary, and translate findings into actionable product recommendations.

The Senior Azure Data Consultant will build and maintain data pipelines, develop lakehouse solutions, optimize ETL processes, and support analytics capabilities in a Microsoft Fabric environment.

Design, build, and maintain data integration, warehouse, and BI solutions supporting subscriber acquisition, campaign and storefront systems. Create schemas, stored procedures, dashboards, and reports; optimize queries; aggregate multi-source data; ensure data quality, PII compliance, and platform observability. Collaborate across teams, mentor engineers, and provide executive reporting and analytics for video/OTT products.

Design, build, and maintain scalable Databricks-based data pipelines and ELT workflows; develop and document dbt models; define data modeling methodology; ensure data quality, reliability, and scalability; collaborate with clients and cross-functional teams; provide technical guidance and deliver improvements to clients' data infrastructure and analytics capabilities.

Translate business requirements into decisioning software logic, write and customize code, perform unit/integration testing and QA, maintain reference data and offer compatibility, troubleshoot production defects, assist with application diagnostics and post-implementation documentation, and run queries and analyses to detect and mitigate customer interaction anomalies.

The Senior Data Analyst will drive product insights through analyses, support A/B testing, and develop reporting to enhance product growth and user acquisition.

As a Principal Data Scientist, you'll drive data-driven strategies across Growth and Membership Operations, integrating AI tools and managing complex data systems to enhance operational performance.

Design and maintain enterprise data architecture and lakehouse solutions. Lead data migration, integration, governance, and BI enablement. Define strategy, implement pipelines, ensure data quality, security, and provide technical leadership and mentoring.