Top Analysis Reporting Jobs in Ogden, UT

Design, develop, and maintain BI solutions and dashboards using Domo and related platforms. Gather and consolidate data from multiple sources, ensure data quality and governance, build semantic models for AI readiness, automate reporting, collaborate with stakeholders, and document technical designs and processes while supporting existing BI applications.

Design, develop, and maintain BI data sets, models, reports, dashboards and visualizations. Extract and transform ERP transactional data, build QVD files, meet stakeholders to gather requirements, and implement best practices for data modeling, security, and self-service analytics to support data-driven decision-making.

Short-term, paid project to export and submit personal financial data from multiple apps. Participants must provide exports from specific financial categories, create two financial artifacts, redact PII on-device using a provided tool, and follow quality and timeline requirements until Final Approval.

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).

Supervises the Business Analysis team and leads requirements activities for complex technology projects. Elicits, analyzes, documents, validates, and prioritizes business and technical requirements; develops testing strategies, process improvements, business rules, user stories, diagrams, and test scripts. Serves as the liaison between business stakeholders and Information Systems development teams, supports Agile and other software development lifecycles, resolves escalated issues, and manages employee performance and development.

Collaborate with business teams to define analytics needs, explore and analyze operational and financial data, build forecasts and regression models, and create dashboards and visualizations. Communicate insights to leaders, support decision-making, contribute to data modeling, metadata, quality remediation, and adhere to data governance, security, and privacy standards.

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.

Performs treasury finance operations, including loan sales, data analysis, reconciliation, and financial controls. Automates recurring workflows using SQL, Python, Excel, and AI tools; maintains and modernizes data pipelines; investigates discrepancies; and communicates insights to technical and business stakeholders. Serves as a subject matter expert on loan data and finance processes while supporting fraud prevention and financial governance.

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.