Top Analysis Reporting Jobs in Portland, OR

Perform data analysis to identify bottlenecks and optimization opportunities using SQL, statistical methods, Power BI, Excel, and Disco. Collect and validate data from internal warehouses, document workflows, lead analytics projects, manage progress in Azure DevOps, and communicate findings to stakeholders with actionable reports.

Partner with sales leadership to define business requirements, design end-to-end analytics solutions (data models, semantic layers, dashboards), build scalable Power BI/Microsoft Fabric reporting, translate data into executive-ready insights, drive automation and standardization, mentor analysts, and influence business decisions with data-driven recommendations.

Serve as data steward for Aftermarket data: assess and improve data quality, define metrics, run audits, communicate business impact, and coordinate remediation across teams.

Design, build, and maintain ETL/ELT pipelines and API integrations to ingest, cleanse, transform, and analyze infrastructure and cloud data. Produce analytics, dashboards, and executive reports; automate workflows and support near-real-time processing. Follow SDLC/DevOps practices (Git, CI/CD), ensure data governance, quality, lineage, and support incident, release, and compliance activities.

Administer SQL databases and maintain accurate Crystal Reports and SSRS reporting. Investigate data discrepancies across reports, stored procedures, and source tables; optimize queries and database performance; manage backups, restores, indexing, integrity, security, and scalability. Collaborate with the existing DBA to document processes and preserve knowledge. Support audit-ready data solutions aligned with SOC 2, CMMC, and ISO 27001 requirements.

Designs and applies statistical models, regression and multivariate analyses, predictive models, dashboards, and visualizations to convert complex data into actionable business insights. The Statistician supports cross-functional teams, ensures data quality and integrity, researches statistical and machine learning methods, consults on experimental design, and communicates findings to technical and business stakeholders to optimize products, services, processes, and growth opportunities.

The Senior Business Intelligence Analyst will design and maintain enterprise-level data models, dashboards, and analytics solutions, optimizing SQL queries and ensuring data quality across systems to support strategic decision-making.

Provide data and process support for marketing: analyze large datasets, build Power BI reports/dashboards, evaluate campaign performance, document processes, facilitate stakeholder meetings, identify data gaps and improvement opportunities, and support marketing attribution and reporting.

Lead the design, build, and maintenance of scalable data pipelines, architectures, and data products on Databricks and AWS. Partner with cross-functional teams, mentor engineers, implement CI/CD, optimize performance, and enforce data governance to support analytics and AI initiatives.

Lead the master data management function, set data standards and governance, manage MDM analysts, ensure data quality across item/vendor/pricing/location domains, partner with cross-functional teams, support system implementations and migrations, and drive continuous improvement in retail data processes.