Top Data & Analytics Jobs in Ogden, UT

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

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.

Designs, develops, and supports scalable GCP data pipelines, ETL/ELT workflows, database integrations, and data warehousing solutions. Uses BigQuery, Spanner, Dataflow, Informatica, and enterprise databases to enable analytics and applications. Responsibilities include performance tuning, monitoring GCP infrastructure, troubleshooting data quality and pipeline issues, scheduling jobs with Control-M, documenting technical procedures, and collaborating with engineers and architects in Agile environments.

Conducts research, collects and analyzes data, develops data-gathering methods, and prepares reports with tables and charts. Cleans, validates, curates, and produces production-ready data from multiple sources; supports testing, performance metrics, issue resolution, and process improvement for Air Force maintenance systems. The role requires strong analytical and problem-solving skills, advanced Microsoft Office capabilities, and preferably experience with MABSM and MRO processes.

Leads business intelligence, reporting, data modeling, and ITSM analytics for a federal IT operations contract. Analyzes CMDB, configuration, change, incident, SLA, cybersecurity, and compliance data; develops dashboards and predictive insights; supports audits, RMF activities, program reviews, and modernization planning. Coordinates with technical teams and government stakeholders to ensure accurate, traceable, and auditable analytics products.

Build and maintain production batch and streaming data pipelines, reusable ingestion and transformation components, and shared engineering patterns. Collaborate with platform and domain teams to translate requirements into secure, performant, testable, and observable pipelines. Integrate data quality, governance, monitoring, orchestration, incident response, and CI/CD practices while supporting documentation and enablement for common data engineering capabilities.

Provide analytic and consultative support to internal customers; translate requirements into decision-support applications; model data flows; develop complex programs and reports (SAS, R, SQL) using enterprise databases; propose and lead data-driven solutions; prepare findings and presentations for stakeholders; define data policies and security frameworks.

Own and operate the Snowflake warehouse and Sigma semantic layer; manage ingestion (Fivetran), dbt model scoping and review, reverse-ETL, data quality SLAs, dashboards, month-end financial analytics, vendor management, and automation to support AdOps, Sales, Finance, and executive reporting.

The Senior Manager of Risk Analytics will lead credit risk strategies, manage portfolio performance, optimize decisioning frameworks, and drive business growth through analytics and predictive modeling.

Provides Tier 1 and Tier 2 remote technical support for hardware, software, peripherals, networks, VPN, and MFA issues. Configures and ships laptops and equipment for new hires, manages accounts and permissions across Google Workspace, Microsoft 365, Slack, and internal systems, and develops knowledge-base documentation and training guides. Supports the company’s North American expansion and remote workforce.