Top Remote Analysis Reporting Jobs in Provo, 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.

Lead analytics for clinical decision support adoption and engagement: define metrics, query event-level usage, build dashboards, analyze funnels and cohorts, partner with product and cross-functional teams, and translate findings into actionable product recommendations to improve adoption and outcomes.

Supports government program data collection and analysis by developing reports, dashboards, forecast models, automated reporting solutions, and briefing materials. Performs statistical analysis, data modeling, visualization, database development, documentation, and ad hoc reporting. Collaborates with government and contractor stakeholders, supports data collection tools, identifies performance indicators, and presents findings to agency leadership. The role is remote with potential future work at a Washington, DC government facility.

Designs, builds, tests, and maintains scalable AWS and Databricks data platforms, pipelines, ETL/ELT processes, data marts, integrations, and governance solutions. Develops batch and near-real-time data ingestion, ensures quality, security, performance, and audit readiness, and supports migration, archiving, disaster recovery, CI/CD, and reporting. Collaborates with architecture, governance, migration, and delivery teams in an Agile environment while mentoring junior engineers and supporting federal modernization objectives.

Owns enterprise data architecture across on-premises and cloud systems. Designs data models, integration patterns, governance standards, security controls, and cloud migration strategies. Evaluates data platforms, documents architecture decisions, supports CUI compliance with NIST and CMMC requirements, and partners with technical, security, infrastructure, application, and business teams. Mentors engineers and analysts while communicating technical recommendations to executive and non-technical audiences.

Supports analysis of personal lines product performance and competitive position. Gathers, validates, cleans, and organizes internal and external data; performs foundational statistical analysis; maintains reports, visualizations, spreadsheets, and dashboards; uses SQL and analytical code; documents methods and findings; collaborates with Product and cross-functional teams; and contributes to defined-scope projects and process improvements under guidance.

Designs, builds, and operates scalable batch and streaming data pipelines, ETL/ELT workflows, cloud solutions, and secure Python REST APIs. Develops data foundations for machine learning, generative AI, embeddings, and retrieval-based applications. Ensures data quality, security, observability, lineage, and reliability while optimizing performance and cost. Leads architecture and code reviews, establishes engineering standards, mentors engineers, and collaborates with product, analytics, data science, and machine learning teams.

Leads analytics for a designated sub-vertical, serving as the primary analytics partner to Sales and senior clients. Translates ambiguous business questions into actionable insights, manages analytic engagements, supports partner performance, and influences campaign strategy. Uses SQL, AI tools, and compelling storytelling to deliver analysis, QBR narratives, measurement frameworks, and recommendations. Represents analytics in cross-functional and external discussions while helping prioritize team capacity and evolve scalable analytic processes.

Develops, architects, and maintains production ETL/ELT and C#/.NET data pipelines across cloud data platforms. Responsibilities include supporting Iceberg, DynamoDB, AWS Lambda, and Trino/Starburst systems; onboarding data sources; tuning performance; monitoring data quality; resolving incidents; coordinating schemas; documenting processes; mentoring engineers; and supporting releases, deployments, architecture, and roadmap decisions.

Conduct market research and competitive intelligence on U.S. higher education trends, learner behavior, program demand, and markets. Analyze internal and external data, build and maintain Microsoft Fabric and Power BI models, create dashboards, identify meaningful trends, and develop executive-ready presentations. Partner with marketing and other teams on program reviews, proposals, and strategic questions while managing multiple research projects and ensuring data accuracy.

Leads the strategy, development, and delivery of client-facing reporting and analytics for life sciences clients. Builds Power BI dashboards, automated reporting, self-service analytics, KPI frameworks, and data governance standards. Translates commercial, medical, operational, claims, prescription, and client data into actionable insights. Partners with technical and business stakeholders, manages reporting priorities, vendors, budgets, and project delivery, and presents findings to executives and clients.