Top Remote Analysis Reporting Jobs in Ogden, UT

Perform quantitative and qualitative analyses to support business planning, forecasting, and operational reporting. Design reports and dashboards, analyze trends and data quality, support modeling and databases, and provide recommendations to business units. Coordinate cross-functional reporting, document requirements, and present findings to management.

Design, build, and maintain enterprise data warehouses and lakes; implement ETL pipelines; optimize data models and performance; produce analytics and predictive models; create dashboards and visualizations; monitor data quality; document and collaborate with stakeholders to drive data-driven business solutions.

Perform ad hoc and ongoing data analysis to drive product decisions for CMS: implement and audit web analytics tagging, integrate Qualtrics and other qualitative sources, build dashboards and ETL pipelines, monitor system performance via Datadog, analyze user behavior (including LLM product metrics), and synthesize mixed-methods insights to inform the team.

Execute underwriting and case-valuation analytics: write and optimize SQL, build dashboards, maintain valuation models, forecast case outcomes, monitor portfolio performance, and translate insights for operational and marketing stakeholders.

Manage digital commerce analytics for e-commerce channels: own reporting, analyze sales/traffic/conversion/SKU performance, produce dashboards and presentations, support account managers, conduct promotion post-analysis, assist customer planning and deduction resolution, maintain data governance and reporting processes, and support cross-functional analytics projects.

Lead administration and optimization of the Snowflake data warehouse. Design and enforce data management and security policies, tune performance and costs, lead migrations and ETL initiatives, manage Snowflake roles/SSO, mentor DBAs, and maintain architecture documentation while collaborating with data engineers and analysts.

Lead embedded BizOps analytics for a core business area (growth, product, AI, or partnerships). Define problems, build metrics, reports, experiments, and analyses, and drive data-informed recommendations end-to-end to influence leadership and deliver measurable business outcomes.

Own the end-to-end analytics function embedded in a core business area (growth, product, AI, partnerships). Define problems and metrics, build reports, run analyses and experiments, surface insights, make recommendations, and drive outcomes with cross-functional teams.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

Build and optimize Power BI reports, dashboards, and semantic models. Partner with stakeholders and Data Engineering (Microsoft Fabric) to transform data into insights, use Copilot Studio for AI-enabled reporting, improve performance/governance, support Excel-heavy reporting, and assist project management to maintain contractual compliance.