Top Senior Analysis Reporting Jobs in Salt Lake City, UT

The Senior DataOps Engineer oversees data management and storage systems, ensuring timely access to secure and accurate data, improving data workflow automation, and collaborating with teams to meet business needs.

The Data Strategist will manage M&A integration by creating financial models, prioritizing data requests, and collaborating cross-functionally to optimize data value and operational efficiency.

The role involves developing insights from data to shape strategies for eyewear and software operations, focusing on customer experience, operational efficiency, and business growth. Collaboration across functions and advanced analytics are key to identify trends and enhance the customer journey.

The Solutions Architect will lead the creation of AI-driven tools and data models, partnering with teams to transform complex datasets into actionable insights and developing robust dashboards and frameworks to empower business solutions.

The Senior Data Engineer will design and maintain data pipelines, write production-grade Python and SQL code, and support AI initiatives while collaborating across teams.

Lead a small BI team while remaining hands-on: write advanced SQL, build dashboards and models, enable self-service analytics, set governance, surface insights for stakeholders, and shape a BI roadmap that scales with alerting, anomaly detection, and applied AI/ML.

The Sector Lead for Financial Services will oversee channel research projects, ensuring quality and relevance while guiding a team of analysts. Responsibilities include developing questionnaires, managing research workflows, and expanding coverage across financial services sectors.

The Manager of Analytics oversees a team to deliver impactful analytics and insights, supports business decisions, and integrates AI applications in analytics. They also manage testing portfolios and develop actionable insights for marketing strategies.

The Product Analyst will measure results and deliver insights on new AI products, identify opportunities, and guide product strategy through data analysis and visualization.

The Lead Product Analyst will design experiments, ensure data quality, build dashboards, and create an experimentation framework focusing on growth and product metrics.