Top Senior Analysis Reporting Jobs in Salt Lake City, UT

Responsible for developing process performance metrics, analyzing datasets, building Power BI dashboards, and collaborating cross-functionally to deliver insights.

The role involves designing, building, and maintaining ERP data pipelines, ensuring their reliability and supporting data integration initiatives. Responsibilities include troubleshooting, implementing SDLC best practices, and collaborating with stakeholders to optimize data-related outcomes.

The Senior Manager of Data Engineering will lead a team, manage data platforms, drive modernization, oversee budgets, and ensure data solutions are scalable and reliable.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

The Senior Data Analyst at Orion180 will develop data pipelines, implement predictive models, and create visualizations while collaborating across teams to improve decision-making and insights.

Quantitative Researchers at Xantium analyze financial datasets, develop quantitative trading models, and support trading operations. They collaborate with senior staff and enhance their research skills, primarily in mathematics and statistics.

The VP of Credit & Business Intelligence will manage credit policy, analytics, and oversee AI/ML models to enhance small business financing. Responsibilities include risk management, KPI development, and collaboration across teams to optimize decision-making processes.

Lead and conduct qualitative and quantitative research and program evaluation for legal education initiatives; manage data collection, cleaning, and analysis; produce reports, tables, and visualizations; advise colleagues and stakeholders on research design and interpretation; support LexScholars program administration and maintain research repositories; present findings and assist with research tool development.

Design, build, and maintain dbt models, ELT pipelines, Looker explores and visualizations. Drive analytics strategy, data discoverability, observability, lineage, and security. Mentor engineers, collaborate cross-functionally, apply software engineering best practices, and integrate AI to scale data products and self-service BI.

The Senior Data Engineer will design and build data pipelines and infrastructure to support data science and business intelligence solutions, utilizing AWS services and streaming technologies.