Top Analysis Reporting Jobs in Portland, OR

Performs business analysis for technology and business improvement projects, including stakeholder analysis, requirements development, acceptance testing, process documentation, business cases, and value assessment. Supports enterprise initiatives, project structures, budgets, and expenditures while collaborating with business partners. Mentors analysts and helps develop business analysis practices and frameworks.

Enters, compiles, verifies, maintains, and distributes data through reports and queries to support operations. Performs clerical tasks including filing, mailing, and folder creation, while training and supporting team members. Requires strong communication, organization, attention to detail, problem-solving, administrative or manufacturing operations experience, and general computer knowledge. The role is based in the Portland, Oregon area, works a 6 AM–2 PM shift, and requires weekend and holiday availability.

Leads end-to-end quantitative market research programs for technology, AI, digital entertainment, and gaming clients. Responsibilities include proposal development, study design, questionnaire development, fieldwork, analysis, quality control, reporting, client presentations, relationship growth, and business development. The role advises senior clients, translates complex findings into actionable recommendations, applies advanced research methodologies with analytics partners, mentors team members, and contributes to thought leadership.

Develop scalable business intelligence, automation, advanced analytics, and data products using integrated data sources. Build reusable data assets, pipelines, dashboards, and reporting solutions with SQL, Power BI, Python, Snowflake, and Databricks. Identify trends, exceptions, root causes, and credit risk insights while partnering with business, technology, risk, and executive stakeholders. Apply software development practices, version control, testing, agile delivery, and responsible AI tools to modernize reporting and improve operational decisions.

Analyzes business and customer requirements to define metrics, measurement frameworks, and scalable Tableau dashboards. Partners with stakeholders across life sciences, healthcare, and sales organizations to deliver consistent, data-driven insights. Documents BI standards, ensures metric accuracy and security compliance, demonstrates expertise in relevant data sources, and manages dashboard requests through a Jira backlog while meeting delivery timelines.

Build and optimize real-time and batch data pipelines, integrations, data warehouses, ETL processes, and reconciliation systems. Develop complex SQL queries, APIs, analytic reports, and data tools while supporting production pipelines and troubleshooting data integrity issues. Partner with architects, analysts, developers, and cross-functional teams to improve data reliability, quality, scalability, and accessibility across cloud and on-premises environments.

Leads Autodesk’s global marketing data strategy and analytics organization, establishing measurement, attribution, experimentation, marketing mix modeling, predictive analytics, and AI-enabled decisioning capabilities. Defines marketing data foundations, governance, taxonomies, and identity frameworks while partnering with Marketing, Sales, Data Science, Engineering, and AI/ML teams. Translates complex analysis into executive recommendations that improve marketing effectiveness, investment allocation, customer outcomes, and commercial performance. Manages and develops a global team of data strategists and analysts.

Leads the design and implementation of business intelligence products, including dashboards, reports, analytical tools, automated data pipelines, and integrations. Performs exploratory analysis, data modeling, visualization, and data governance to convert complex datasets into actionable business recommendations. Partners with business and client stakeholders to define analytics roadmaps, communicate technical concepts, and embed standardized data products within the organization.

Provides leadership for digital scholarship, data-intensive research, and quantitative-focused library liaison services. Supports data discovery, curation, preservation, metadata, data literacy, privacy, and ethical data use. Oversees electronic thesis submissions, develops workflows and research guides, supports digital collections and scholarly communication initiatives, teaches information literacy, advises on responsible AI, and manages research collections. Collaborates with faculty, students, library staff, and campus data teams across disciplines.

Develop and optimize Oracle Fusion Data Intelligence analytics, reporting, semantic models, data integrations, and augmentation solutions. The role supports Oracle ERP, HCM, and SCM data, including OTBI, BI Publisher, ODI, ETL, SQL, and PL/SQL development. Responsibilities include requirements gathering, data cleansing and validation, cross-functional collaboration, and contributing to an ERP analytics roadmap. This is an onsite role in Des Moines, Las Vegas, or Portland, with an initial 3–4 month W2 engagement.