Top Analysis Reporting Jobs in Ogden, UT

Supports data modernization by assessing legacy structures, designing modern data architectures, developing ETL/ELT pipelines, integrating APIs and cloud services, and ensuring data quality, security, governance, and lineage. Analyzes data for migration and reconciliation, creates dashboards and reports, and collaborates with technical and business teams. Applies AI tools to improve software development, DevSecOps, testing, security, deployment, and automation processes.

Lead database design, modeling, implementation, performance tuning, optimization, and operational support for MongoDB, Oracle, relational databases, and Databricks environments. Serve as the database subject matter expert, troubleshoot complex issues, and support scalable enterprise databases exceeding 5TB. Collaborate with developers, architects, and technical teams to deliver reliable, high-performing database solutions.

Designs, develops, deploys, and optimizes Snowflake data pipelines while serving as backup Snowflake administrator. Responsibilities include data modeling, performance tuning, RBAC, schema management, cost optimization, backup and recovery, automation, and disaster recovery strategies. The role requires collaboration with product, engineering, architecture, and Agile teams, plus advanced SQL, Python or shell scripting, AWS, and Snowflake platform expertise.

The Senior Pharmacy Business Analyst monitors pharmacy performance, identifies trends and root causes, and translates operational and financial data into actionable recommendations. The role builds Tableau dashboards, queries enterprise data warehouses with SQL, prepares executive reporting, and partners with pharmacy, Finance, Operations, and Clinical leaders. Responsibilities include recurring report ownership, quality assurance, planning support, ad hoc analysis, and communicating insights to senior stakeholders.

Develops business intelligence applications and data models using Qlik, SQL, and related tools. Performs ETL, data validation, analytics process improvement, and impact analysis for reporting changes. Provides data-driven insights, supports audits and legislative inquiries, leads stakeholder meetings, and mentors teammates as a business intelligence subject matter expert.

Develops and maintains business intelligence applications, data models, reporting scripts, and analytics solutions using Qlik, SQL, and related tools. Imports data from multiple sources, validates data integrity, assesses downstream impacts, supports user testing, and collaborates with business stakeholders and IT to improve reporting processes and deliver actionable insights.

Supports pharmacy network analytics through data modeling, report creation, pharmacy directory development, quality assurance, and recurring regulatory reporting. Analyzes provider network adequacy and performance, transforms data into actionable insights, coordinates cross-functional projects, supports process improvements, and provides reporting to Provider Services and leadership.

Designs secure Azure data pipelines and analytics foundations using Databricks and ADLS Gen2. Responsibilities include modernizing Oracle workloads, developing medallion data models, implementing data quality and monitoring practices, integrating curated datasets with Power BI, and establishing secure Azure Government identity, network, storage, and access patterns. The role also requires documentation, operational support, stakeholder collaboration, and performance optimization.

Own audience intelligence and engagement analytics across website, email, events, and acquisition channels. Build KPIs, reporting, segmentation, and re-engagement strategies to improve retention, engagement, and purchases. Reconcile data across CRM, enrichment, and email platforms; triage data issues; analyze behavioral trends; and translate insights into actionable strategies. The role also requires cross-functional collaboration and effective use of AI and agentic tools.

Performs data engineering operations including SQL scripting, ETL and data validation, query optimization, data analysis, dashboard maintenance, task-result validation, and troubleshooting with engineering and DBA teams. Ensures data integrity and compliance, manages ticket-based assignments, and supports data production and implementations. The role may require after-hours or weekend support and includes preferred experience with network security platforms, certificate management, and automation scripting.

Designs, develops, and sustains cloud-based data analytics infrastructure and ETL pipelines. Manages data retention, curation, cataloging, schemas, and automation across AWS, Elasticsearch, and Google Analytics platforms. Creates visualizations and reports using Kibana, AWS QuickSight, and Google Analytics 4. Supports cloud-native architecture, infrastructure automation, DevOps, monitoring, troubleshooting, bug fixes, and customer support.

Collects and analyzes data from project, financial, maintenance, and field systems; builds KPI dashboards and recurring reports; identifies trends, risks, and opportunities; supports budgeting and forecasting; validates data with project and operations teams; and communicates actionable insights to leadership while improving reporting processes.

Collects, organizes, cleans, and analyzes business data; reviews data accuracy and completeness; prepares reports, dashboards, and summaries; identifies trends supporting business decisions; and maintains spreadsheets and databases. The role is fully remote, includes paid training, and requires strong communication, organization, attention to detail, and independent work capability.

Leads integration of healthcare payer feeds and internal enterprise data into WellBe’s data platforms. Responsibilities include data mapping, transformation, validation, normalization, quality monitoring, governance, metadata and lineage management, requirements gathering, and supporting ingestion pipeline delivery. The role partners with engineering and analytics teams, serves as a subject matter expert, and ensures reliable data for value-based care, reporting, and operational use cases.

Leads data engineering strategy and mentors an analytics engineering team. Designs scalable ELT pipelines, warehouse integrations, data models, API ingestion workflows, and data quality frameworks using cloud and database technologies. Conducts exploratory analysis, supports dashboards and analytical solutions, monitors warehouse performance and costs, and ensures data governance, security, and compliance. Collaborates with data scientists, analysts, engineers, and business stakeholders to deliver healthcare analytics solutions.

Designs and maintains ELT pipelines, warehouse integrations, data models, and data quality processes. Collaborates with data scientists, analysts, engineers, and stakeholders to deliver scalable analytical solutions. Responsibilities include data integration, governance, security, performance optimization, exploratory analysis, visualization, and cloud-based API ingestion. Requires strong SQL, DBT, Snowflake, Azure Data Factory, cloud, and scripting experience, plus leadership and communication skills.