Top Remote Data & Analytics Jobs in Portland, OR

Leads marketing measurement strategy through geo holdout and incrementality testing, forecasting, experimentation, and statistical analysis. Partners with Marketing, agencies, and Data Science to guide channel budgets and campaign decisions. Queries large-scale data using SQL and Python in Databricks and BigQuery, develops measurement models, automates analyses with AI tools, and mentors analysts while providing technical leadership.

The Account Insight Manager delivers end-to-end analytics, reporting, dashboards, and data-driven insights supporting client renewals, retention, and upsell opportunities. Responsibilities include data extraction and validation, metric definition, trend and utilization analysis, report automation, executive presentations, CRM updates, cross-functional coordination, and client support. The role partners with a Consulting Account Manager, manages deadlines and risks, monitors performance guarantees, and performs administrative and data-entry duties. Travel may be required up to 25%.

Build and maintain business intelligence models, dashboards, reports, and compensation analyses for shelter, breeder, and sales channels. Support insurance regulatory reporting, ad hoc analytics, data quality, governance, automation, and performance tuning. Partner with data engineering, compliance, and business teams to improve enterprise data models and enable AI-driven initiatives.

Maintain and administer Microsoft SQL Server databases supporting healthcare research administration, compliance, reporting, and operations. Design schemas and tables; develop and optimize stored procedures, queries, scripts, utilities, and reports; manage scheduled jobs; monitor performance, security, backups, recovery, and data integrity; troubleshoot database and application issues; coordinate with web developers; document solutions; and provide technical recommendations to research leaders.

Maintains and analyzes customer, item, and coding data using Oracle systems. Organizes, validates, and prepares electronic data updates; investigates data issues, develops corrective solutions, assesses business impacts, and processes reports. Collaborates cross-functionally to support customer master and national coding initiatives, project planning, and execution while ensuring data integrity and customer-focused outcomes.

Analyzes and maintains customer, item, and configuration master data using Oracle and Microsoft tools. Organizes and validates files for electronic updates, investigates data and process issues, evaluates business impacts, prepares reports, and supports cross-functional projects. Collaborates with business teams to ensure data integrity, accurate national coding, efficient processes, and customer-focused solutions.

Build data foundations and end-to-end pipelines, research and implement quantitative pricing, market-making, and risk models for prediction markets, model cross-market dependencies and parlays, develop backtesting/simulation frameworks, monitor model performance and collaborate closely with traders to improve pricing and trading outcomes.

Own Hercules’ full data stack, including ETL from third-party providers into BigQuery, data modeling with dbt and medallion architecture, semantic-layer metric definition, and self-service business intelligence in Omni. Build reliable, maintainable systems and dashboards while applying strong software architecture, API design, code quality, and AI-assisted development practices.

Build and expand the company’s analytics data stack using Looker, LookML, dbt, BigQuery, and Airbyte. Develop data models, integrate multiple business systems, create KPI dashboards, and analyze product usage, customer health, adoption, and revenue data. The role empowers business teams with self-service analytics, actionable insights, and data-informed decision-making while developing a strong understanding of business metrics.

Conduct open-ended research on markets, companies, products, funding, competitors, technologies, people, and regulations. Transform findings into clear, sourced matrices, briefs, landscape maps, and one-pagers with actionable points of view. Use AI tools and lightweight scripts or scrapers to accelerate research, manage multiple shifting requests, and communicate concise conclusions to leadership.