Top Analysis Reporting Jobs in Salt Lake City, UT

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.

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.

Analyze paid marketing performance across channels, campaigns, audiences, and creatives from initial click through funded deal. Build quality and funnel metrics, evaluate experiments, validate attribution and data quality, develop dashboards, and communicate actionable recommendations to marketing and executive stakeholders. The role uses SQL, Python, marketing platforms, web analytics, and AI tooling to optimize acquisition efficiency and funded-customer outcomes.

Supports project teams by creating maps and report figures, analyzing and processing raster and vector data, managing geospatial databases, using ArcGIS Online applications, and obtaining public spatial datasets. Responsibilities include georeferencing, digitizing, quality control, and collaborating with GIS specialists. This temporary summer internship is based in Salt Lake City, with potential hybrid work and periodic travel.

Conducts funding analysis, cost modeling, fiscal mapping, and data visualization to advance equitable investments in children and youth. The role supports public finance planning, identifies funding gaps and sources, facilitates cross-sector stakeholder collaboration, manages strategic projects, and provides data for policy and ballot initiatives. It also builds local expertise in strategic finance and maintains relationships with government, education, nonprofit, and national partners.

Own product analytics for the Accounts Payable product, setting the analytics agenda, defining metrics and OKRs, identifying product opportunities, and influencing roadmap decisions. Responsibilities include experimentation, causal inference, executive reporting, production-grade dbt models, data quality validation, documentation, and AI-assisted workflow automation. The role partners closely with Product, Engineering, and AP leadership and requires confidently presenting insights to senior stakeholders.

Rotational program for recent graduates supporting technology and analytics teams. The associate will learn through multiple rotations, build automation or improve existing workflows, create operational reporting and metrics, support controls and audits, collaborate with cross-functional partners, and complete talent development training. The role focuses on Deposit Operations for the Bread Savings program and requires strong communication, Microsoft Office proficiency, reporting skills, and workflow automation knowledge.

Analyzes large clinical and financial datasets, develops dashboards, reports, ETL processes, automation tools, and scalable analytical solutions. Manages data across databases, ensures data quality and security, interprets results using statistical and data-mining techniques, and collaborates with clients and business leaders to define analytical needs. The role also supports healthcare data projects, client presentations, process improvements, and ongoing development of software, data manipulation, and healthcare analytics expertise.

Analyzes personal lines insurance and digital product performance using SQL, BI tools, statistical methods, and financial modeling. Partners with product, experience, actuarial, finance, and operations teams to identify growth opportunities, optimize digital customer experiences, assess risks, support business cases, and influence leadership decisions. Applies AI and automation to improve analytical efficiency, communicates insights through presentations and reports, and mentors colleagues.

Design and operate end-to-end infrastructure for intracortical neural data, from ingestion and validation through preprocessing, versioned dataset releases, and training data loaders. Preserve scientific metadata and provenance while implementing signal processing, quality checks, storage optimization, parallel processing, and monitoring. Collaborate with neuroscience, machine learning, infrastructure, and IT teams to support scalable, reliable model training and sensitive research-data management.