Top Analysis Reporting Jobs in Salt Lake City, UT

Build and maintain data infrastructure, data lakes, data marts, ETL processes, and data quality frameworks for analytics and operational insights. Develop complex Oracle and Snowflake SQL, optimize query performance, manage large datasets, support near-real-time analytics, document database architecture, and contribute to AWS-based deployments and continuous integration pipelines.

Develop and manage Workday PSA and Financials data solutions, including conversions, transformations, integrations, reporting, APIs, EIBs, and ETL processes. Create technical documentation, perform data analysis and loading, support migrations and M&A initiatives, and ensure security, compliance, access controls, and data quality. Partner with business analysts, functional leads, engineers, and security teams while managing multiple projects and serving as a Workday data subject matter expert.

Designs and operates scalable streaming and batch data pipelines using Azure Data Explorer, Kafka, Cribl, and Azure Data Factory. Develops data models, warehouses, governance, security controls, curated datasets, and analytics dashboards in Power BI and Tableau. Partners with technical and business stakeholders to deliver data solutions, optimize analytical workloads, ensure data quality, and support decision-making. Mentors data engineers and contributes to architecture, data security, and emerging technology adoption.

Leads business analytics projects, reporting, and compliance testing for automotive operations. The role gathers and analyzes data, monitors KPIs, identifies trends and risks, maintains reporting platforms, and recommends corrective actions. It develops test-versus-control strategies, validates risk and compliance processes, collaborates with operational leaders, and communicates findings to stakeholders. Candidates need automotive or financial sales analytics experience and proficiency with SQL, Power BI, Snowflake, and data modeling.

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.

Supports customer onboarding by preparing, formatting, validating, and migrating data and files. Responsibilities include running test migrations, reconciling datasets, documenting mappings and results, tracking project progress, resolving data issues, supporting cutovers, and escalating discrepancies. The role collaborates with implementation and R&D teams while maintaining client-data confidentiality and identifying process improvements. Excel is required; SQL, SaaS, migration tools, accounting data, and implementation experience are beneficial.

Designs and implements data models, schemas, and ETL/ELT pipelines supporting analytics, reporting, and machine learning. Optimizes query performance, partitioning, and clustering; establishes data quality, governance, and security standards; integrates data with BI and machine learning tools; documents workflows; and mentors junior engineers. Collaborates with data scientists, analysts, and product owners to architect cloud-based analytical infrastructure and data marts.

Designs and maintains Power BI reports and dashboards using Microsoft Fabric semantic models. Responsibilities include data modeling, DAX development and optimization, report validation, security governance, stakeholder requirements gathering, self-service dataset creation, and presenting insights. The role also requires collaboration across teams and use of AI tools to improve analysis and delivery.

Leads LoanPro’s data and analytics strategy as its first BI hire. Integrates CRM, finance, product, and operations data into Domo; builds SQL queries, reports, dashboards, and visualizations; conducts exploratory analysis; translates business needs into analytics requirements; and delivers actionable insights to senior leaders. The role is primarily onsite in Farmington, Utah, with limited discretionary remote work and potential future team-building responsibilities.

Maintains and optimizes Eloqua, CRM, and marketing automation infrastructure, including database health, integrations, data quality, segmentation, reporting, troubleshooting, access controls, documentation, and platform governance. Supports technical projects, testing, audits, system enhancements, and data analysis while coordinating with marketing, sales, and senior technical teams. Investigates root causes, recommends improvements, and ensures reliable marketing data operations.