Top Data & Analytics Jobs in Salt Lake City, UT

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

As a Senior Commercial Insurance Analyst, you'll perform complex analyses on data to drive business performance and risk outcomes. You'll collaborate with various teams, generate actionable insights, and mentor junior analysts, all while fostering a data-driven culture and improving operational efficiency.

Leads long-range workforce and resource planning for contact center operations. Owns demand forecasting, staffing, capacity, headcount, cross-skill, and scenario models across business lines and channels. Develops advanced predictive and prescriptive analytics, performance metrics, and decision-support tools using complex data sets. Advises executives on resource allocation, service levels, costs, and business performance while governing data quality and analytical processes. Leads capacity planning analysts and drives continuous improvement through automation, machine learning, and improved forecasting methodologies.

Designs and builds ETL/ELT pipelines and data architectures across hybrid big-data and traditional database environments. Develops dimensional and normalized data models, ingests structured and unstructured sources, maintains data quality and security, troubleshoots pipeline issues, and delivers analytical reports and dashboards using Cognos and Tableau. Collaborates in agile teams, manages change requests, audits data integrity, and applies testing, documentation, and development best practices.

Collects, organizes, validates, analyzes, and presents departmental data to support administrators and inform recommendations. Responsibilities include preparing reports, identifying trends, resolving data discrepancies, coordinating meetings, handling special projects, training staff, and providing administrative and operational support for building functions, purchasing, scheduling, and daily department activities.

Leads the design, development, and maintenance of scalable cloud data pipelines, warehouses, models, and analytical data products. Uses GCP services, SQL, Python, and modern data engineering tools to ingest, transform, govern, and optimize data. Partners with business, product, IT, and analytics stakeholders to translate requirements into solutions, ensures data quality and compliance, monitors delivery, and mentors data engineers.

Business Analyst Interns conduct research, writing, data analysis, policy comprehension, and communication to support business projects, solutions, and deliverables. Interns work with teams across banking supervision, financial services, financial management, operations, statistics, and regional engagement. The 10.5-week paid program includes training, mentorship, networking, and experiential learning. This is an in-person role in San Francisco requiring 40 hours per week, five days per week.

Analyzes B2B marketing performance across campaigns and channels, builds dashboards and forecasting models, measures ROI and funnel metrics, evaluates lead and pipeline quality, supports experimentation, and presents actionable insights to guide marketing investments and partner growth.

Analyzes the RFQ-to-award pipeline, consolidates and validates business data, and develops dashboards, scorecards, forecasts, and executive reports. Evaluates win rates, proposal activity, pipeline health, revenue opportunities, and performance trends. Partners with program management, sales, engineering, estimating, and business development teams to improve data quality, standardize KPIs, automate reporting, identify process bottlenecks, and support strategic decisions.