Top Analysis Reporting Jobs in Ogden, UT

As a Business Analyst in Partnerships, you will build analytics infrastructure, identify data issues, and conduct market research to guide strategic decisions.

The Research Data Scientist analyzes viewing data, develops machine learning models, builds data pipelines, and innovates new methodologies for measurement challenges in advertising.

As an Associate Director, you'll lead the design and implementation of integrations using iPaaS tools, manage teams, and help clients optimize ERP transformations.

As a Data Engineer at LiveKit, you will manage the analytics infrastructure, develop scalable GCP-based data pipelines, and ensure effective data movement and transformation processes, while collaborating with the Analytics and engineering teams.

Serve as a client-facing consultant translating business needs into technical specifications, delivering Liquid Data platform solutions, developing reports/dashboards, supporting implementations, and driving technology adoption while collaborating with internal teams and leveraging cloud, API, and BI integrations.

Consult with clients to translate business needs into technical specifications, drive adoption of the Liquid Data platform, build reports and dashboards, support implementation and integrations (APIs, Snowflake/Azure), and manage client deliverables while identifying opportunities for technology and AI-driven improvements.

The Client Insights Senior Manager will support strategic accounts by analyzing data to provide actionable insights, enhance client satisfaction, and drive business value.

Design, develop, and maintain enterprise Power BI dashboards and reports. Integrate data from SQL Server, Azure, Excel and other sources, perform data modeling and DAX calculations, validate data, and document data models and reporting logic while partnering with business stakeholders.

Develop and maintain Epic Healthy Planet registries and analytics solutions: gather requirements, profile Epic source data, build rules/metrics/dashboards, provide ad-hoc analysis, support end users, document solutions, and mentor users.

The Data Architect will design and implement data architecture solutions using Azure Databricks, focus on data quality, and collaborate with product teams on data projects.

Partner with customers and sales to design and present scalable Databricks Lakehouse architectures, build reference architectures and demos, consult on big data, ETL, and ML projects, validate integrations, and drive technical wins and adoption across accounts.

Design and implement credit strategies using data, machine learning, A/B testing and advanced analytics to optimize underwriting, pricing, and credit line decisions. Lead end-to-end analytics for credit card products, monitor portfolio performance, conduct root-cause analysis, partner cross-functionally, and communicate findings to stakeholders.