Top Analysis Reporting Jobs in Ogden, UT

Design, develop, and optimize scalable Databricks data pipelines using PySpark, SQL, Spark, and Delta Lake. Build workflows, ingestion and transformation processes, data quality checks, monitoring, and CI/CD automation. Optimize distributed workloads, configure Databricks compute, support cloud governance and access controls, troubleshoot production issues, and collaborate with technical and research stakeholders to deliver secure, reliable analytical datasets.

Leads digital customer experience insights by translating behavioral, journey, Voice of Customer, and performance data into actionable recommendations. Maps end-to-end experiences, identifies friction and drop-off, maintains experience health dashboards, and partners with product, marketing, UX, and engineering on experimentation and optimization. Communicates findings to leadership and supports customer-first product decisions through analytics, competitive benchmarking, and proactive insight delivery.

Build and own production data pipelines using Snowflake, Airflow, dbt, and Python; implement canonical data models; embed validation, quality checks, lineage, freshness, and alerting; support governed self-service data delivery; migrate workloads; partner with business consumers; participate in on-call and incident reviews; and mentor engineers while maintaining strong testing, CI/CD, documentation, and code-review practices.

Supports incentive compensation programs for North American sales and marketing teams. Responsibilities include calculating monthly, quarterly, and annual payouts; managing Xactly; coordinating HR, SAP, finance, and sales inputs; forecasting accruals and payouts; producing performance reports; handling account assignments and ad hoc analysis; and improving and automating related systems and processes.

Supervise actuarial predictive modeling initiatives for insurance pricing, portfolio management, and planning. Collaborate with actuaries, data scientists, underwriters, and management to develop, validate, govern, and implement models. Establish assumptions, loss adjustments, usage guardrails, monitoring practices, and model documentation. Support regulatory filings, improve team workflows, contribute to strategic projects, and mentor staff in actuarial and technical skills.

Build and operate production-grade data pipelines, models, and reusable frameworks for a Databricks lakehouse on AWS. Develop ingestion from SaaS, CRM, support, and relational systems; implement medallion architecture, data quality, governance, security, observability, and cost optimization. Support BI and AI/ML workloads, troubleshoot incidents, deliver initiatives end-to-end, contribute to platform standards, and mentor data engineers and developers.

Designs, develops, and maintains scalable cloud-based data solutions, ELT/ETL pipelines, data warehouses, curated datasets, and transformation logic using Snowflake and related tools. Optimizes SQL and warehouse performance, monitors workflows, supports data governance and quality initiatives, documents data flows, and delivers trusted datasets for Tableau reporting. Collaborates with business and technical stakeholders in Agile processes while ensuring secure handling of sensitive PHI data.

Leads R&D data stewardship across metadata, cataloging, data products, profiling, quality, governance, and compliance. Uses Informatica, SQL, Databricks, Python, and PySpark to curate data, automate workflows, define quality controls, and resolve complex issues. Applies AI-assisted stewardship and semantic data concepts while collaborating with technical and business stakeholders. Coaches other stewards, supports audit readiness, and improves stewardship standards and operating practices.

Analyzes paid media performance across the full funnel, connecting spend and platform metrics to applications, enrollment, student lifetime value, and ROAS. Builds attribution frameworks, Databricks data pipelines, Power BI dashboards, semantic models, and advanced DAX reporting. Supports marketing mix modeling, experimentation, web analytics data quality, forecasting, governance, and workflow automation. Translates complex analytics into strategic recommendations for executive and cross-functional stakeholders.

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.