Top Data & Analytics Jobs in Ogden, UT

The Data Governance Specialist develops and enforces data governance, quality, privacy, risk, and compliance standards across organizational data assets. Responsibilities include managing metadata, data dictionaries, lineage, classification, retention, PII controls, DPIAs, risk assessments, audits, dashboards, and data-quality remediation. The role partners with engineering, security, legal, and business teams, provides stakeholder training, investigates data integrity issues, supports incident escalation, and automates governance processes through scripting.

Lead the data engineering strategy and architecture for distributed pharmaceutical data systems. Design and scale pipelines, APIs, and data platforms while ensuring reliability, governance, quality, and PII/PHI protection. Drive technical decisions, improve developer efficiency, deliver business impact, influence cross-functional roadmaps, mentor engineers, communicate with executives, and promote organizational adoption of new technologies and processes.

Lead end-to-end analytical initiatives on partner enrollment funnels, ensure data quality, build reporting pipelines with BI/engineering, use AI-assisted tools to accelerate analysis, translate insights into strategic recommendations for leadership, and coach growing analytics team members.

Lead product analytics for Guest or Host App: analyze large datasets, design and evaluate experiments, build metrics and reporting tools, apply statistical and causal methods, partner cross-functionally, present insights to stakeholders, and leverage AI to automate tasks.

Leads enterprise customer data strategy, governance, privacy compliance, consumer insights, and data democratization. Manages analysts and engineers while partnering with Marketing, Product, and Sales leaders to turn customer data into strategic recommendations, improve client experiences, support campaigns and product launches, and deliver trusted dashboards, catalogs, and self-service analytics tools.

Administers Oracle databases across development, test, staging, and production environments. Performs monitoring, maintenance, backups, recovery, patching, tuning, schema updates, indexing, troubleshooting, access control, encryption, auditing, and compliance remediation. Supports migrations, releases, environment synchronization, documentation, and collaboration with development and cybersecurity teams. Requires an active Top Secret clearance, database administration experience, relevant certifications, and strong Oracle, SQL, PL/SQL, and DoD security knowledge.

Supports federal data governance and quality by validating sources, maintaining metadata and data dictionaries, reconciling metrics, performing profiling and cleansing, documenting lineage, and harmonizing cross-system data. Collaborates with reporting teams, dashboard developers, data owners, and PMO leadership to standardize KPIs and ensure reliable analytics. Requires an active Secret clearance, five or more years of relevant experience, and proficiency with Excel or SQL. Power BI and related BI, cloud, ETL, and governance tools are preferred.

Administer relational databases across development, testing, and production environments. Responsibilities include installation, configuration, patching, upgrades, security and STIG compliance, high availability, backups, performance tuning, monitoring, scripting, deployments, data migrations to AWS RDS, and configuration control. The role supports Agile development, data requests, production releases, and on-call incident response for a mission-critical transportation logistics system.

Build and maintain batch and streaming data pipelines using Databricks, Spark, PySpark, and SQL. Develop AI-assisted ingestion, data-quality repair, document extraction, and human-review workflows. Manage Delta Lake storage, Unity Catalog metadata, geospatial processing, governance, lineage, orchestration, monitoring, CI/CD, and production support. Collaborate with architects and data scientists to operationalize a governed lakehouse platform for pipeline asset integrity data.

Design and own a unified data model for an AI-driven pipeline risk platform. Responsibilities include lakehouse and medallion architecture, geospatial modeling, entity resolution, ingestion patterns, governance, lineage, data quality, access controls, and traceability. Partner with data engineers, application engineers, and data scientists to implement schemas, pipelines, serving layers, and optimization strategies while maintaining clear architecture documentation.

Leads enterprise data architecture strategy, including data warehouses, lakehouses, Data Mesh, integration patterns, streaming, AI readiness, data governance, and Master Data Management. Establishes standards for pipelines, transformations, lineage, data contracts, and data products while advising business units and mentoring data engineering, BI, and MDM teams. The remote U.S. role requires occasional travel to Nashville and extensive experience with cloud data platforms and modern data engineering technologies.

Supports cross-functional manufacturing, finance, engineering, IT, and operations initiatives through data consolidation, business analysis, KPI reporting, requirements gathering, and cost-benefit analysis. The role develops recommendations, project status reports, presentations, and post-project audits while helping support strategic decisions and operating effectiveness. This position is remote within specified states and requires up to 25% travel.

Designs and maintains executive dashboards, reports, semantic models, and automated analytics solutions using Power BI. Defines enterprise KPIs, data standards, and business rules while integrating data from ERP, CRM, manufacturing, SQL, and cloud systems. Partners cross-functionally with senior leaders to deliver insights, improve data quality, support master data management, and enable scalable self-service analytics and data-driven decision-making.

Analyzes healthcare-related data to produce reports, visualizations, and actionable insights for customers and internal stakeholders. Uses SQL and Excel to extract and supplement data, creates presentations, supports dashboard and DaaS product testing, and collaborates with product management and data engineering teams. The role also contributes to peer review, problem-solving, and ongoing development of analytical and data storytelling capabilities.