Top Data & Analytics Jobs in Ogden, UT

Leads the architecture, implementation, and evolution of enterprise data platforms, including Master Data Management, data lakes, lakehouses, and cloud data services. Manages data engineers and developers, establishes engineering standards, oversees Azure-based integrations and pipelines, and owns data applications, databases, security, governance, and production support. The role also directs technical strategy, manages multiple initiatives, and communicates architecture and delivery plans to stakeholders.

Build and operate data-intensive web products and APIs, extend high-throughput ETL pipelines and scrapers, ensure reliability/observability, design self-scaling services, participate in code review, and collaborate across product, data, and infrastructure teams to meet production SLAs.

The Forward Deployed Data Engineer will manage AI-automated data platform migration projects, ensuring timely delivery and communication with clients while utilizing proprietary tools.

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).

Design and maintain large-scale ETL/ELT data pipelines using Python, Airflow, Spark, and Flink. Process and transform massive datasets, develop data models for analytics and dashboards, automate workflows in Unix/Linux environments, and debug distributed systems. Collaborate with cross-functional teams to ensure data accuracy, reliability, scalability, and availability across Akamai’s global network.

Analyze insurance product and portfolio performance, build dashboards and reporting tools, validate data, and translate complex insurance questions into actionable recommendations. The role supports rate revisions, state expansion, product development, and profitable growth while partnering with Product, Engineering, Data, Underwriting, Compliance, and other teams. It also uses SQL, business intelligence platforms, and AI tools such as Claude to improve workflows and decision-making.

Owns lead and account data quality across the sales pipeline. Responsibilities include deduplicating and enriching CRM records, defining lead quality and routing standards, maintaining account structures, resolving data escalations, evaluating enrichment vendors, and assessing AI for quality assurance and anomaly detection. Partners with sales leadership to build scalable workflows and validation processes using CRM tools, SQL, spreadsheets, and potentially Python.

Leads digital performance measurement, analytics, reporting, conversion optimization, experimentation, attribution, and customer journey analysis across global digital platforms. Builds executive dashboards, identifies experience and funnel improvements, establishes KPI and governance frameworks, and translates complex data into business recommendations. Partners with Marketing, Product, UX, Technology, and Analytics teams while managing and mentoring Marketing Analysts.

Leads qualitative and quantitative market research to uncover customer, market, competitive, and healthcare insights. Designs and manages studies, analyzes data using statistical and AI-assisted tools, develops reports and dashboards, presents recommendations, maintains research quality, and coordinates external partners. Collaborates with product, engineering, sales, marketing, and customer success teams to influence product strategy, growth, innovation, and customer experience initiatives.

Analyzes operational, financial, and performance data to identify trends, risks, and opportunities. Develops dashboards, reports, recommendations, and standardized workflows supporting strategic decisions. Partners with IT, Finance, Operations, and business leaders to improve tools, automate processes, gather requirements, manage change, train users, and optimize reporting systems. Serves as an internal data resource and supports technical issue resolution.