Top Analysis Reporting Jobs in Portland, OR

Design, build, optimize, and modernize enterprise Microsoft data platforms (Azure, Fabric). Develop ETL/ELT pipelines, data warehouses/lakehouses, implement governance, security, DevOps/CI-CD, and support Power BI and AI initiatives while consulting with stakeholders.

Gather business requirements and design, build, and deploy reports and dashboards using Microsoft BI tools. Develop ETL processes, design and implement SSAS cubes, optimize queries, validate data accuracy, support Dynamics AX reporting, and assist Salesforce Marketing Cloud queries. Act as analyst, architect, report developer, SQL programmer, visualization designer, and trainer.

Design, develop, and maintain complex database systems. Write and optimize SQL, perform backups, updates, performance tuning, indexing, and troubleshooting. Diagnose hardware/software issues, develop monitoring tools, document database structures, support cross-functional projects, and provide technical support and training.

Lead a team to design and deliver enterprise data management, ETL, reporting, low-code apps, and automation solutions. Develop roadmaps, governance for data, reporting, automation and AI, partner across IT and business units, prioritize and deliver process improvements, and ensure scalable, secure analytics and automation practices.

Provide strong Microsoft SQL Server DBA support and implementation for ServiceNow, including database administration, configuration, performance tuning, and deployment support.

Lead data governance and operations to drive business transformation. Define and execute data governance strategy, improve master data for ERP and supply chain, and oversee data quality, security, and privacy. Serve as liaison between business and IT, manage budget and team development, and report progress to senior leadership.

Perform quantitative and unstructured data analysis, develop data-gathering applications, create SQL queries and visualizations, document business and functional requirements, establish KPIs, optimize inventory and supply metrics, and support process improvement and auditing activities.

Manages HR data, analytics, reporting, dashboards, pipelines, integrations, and automation. Supports compensation, performance management, workforce planning, HRIS maintenance, and employee listening initiatives. Builds data models and AI integrations, audits data integrity, develops actionable insights, and presents findings to HR and executive leadership. Requires strong compensation expertise, advanced Excel, HRIS and BI experience, scripting, data modeling, and handling confidential information.

Build customer-facing data products for the single-family rental market. Responsibilities include architecting real estate data models, designing reliable data pipelines and workflows, shaping data platform architecture, establishing engineering standards, and developing real estate domain expertise. The role partners with data science and product teams and requires leadership in scalable data engineering.

Analyze behavioral, transactional, and interaction data to identify fraud patterns and emerging threats. Develop monitoring frameworks, dashboards, and mitigation solutions; evaluate AI fraud-review decisions; and translate findings into prompt, rule, workflow, and machine-learning feature improvements. Collaborate with Fraud Operations and Machine Learning teams, participate in code reviews, and mentor junior analysts. The role requires strong SQL and Python skills, statistical analysis expertise, business judgment, and fraud analytics experience.