Data Analyst

• Work directly with Marketing, Sales, and CX leaders to diagnose business challenges, define analytical roadmaps, and drive growth strategies.
• Develop rigorous analyses, models, and frameworks to optimize customer acquisition, lifecycle engagement, and retention.
• Build scalable machine learning solutions (e.g., targeting, segmentation, uplift modeling, LTV prediction) that improve growth efficiency and ROI.
• Drive acquisition, retention, and monetization through data-driven experimentation and modeling.
• Translate complex data insights into clear, actionable recommendations that influence decision-making at all levels of the organization.
• Collaborate with engineering teams to productionize models and analytics pipelines with high reliability and performance.
• Familiar with state of art AI solutions in Data Science domain and mentor Jr. data scientists.
• Drive best practices in experimentation, measurement, and growth analytics across the company.

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

• Use SQL and other analytical tools to conduct in-depth analysis of Mercury's customers, transactions, alerts, TM rules, risk ratings, and more
• Use data-driven methods to improve, design, implement, and maintain Mercury's FCC models
• Develop bespoke transaction monitoring rules and sanctions screening logic
• Partner with Compliance, Product, and Data leaders to translate regulatory requirements into effective analytical frameworks
• Know how to tell stories with data
• Interpret analytics outputs to pinpoint which alerts, patterns, or anomalies signal genuine risk
• Develop and maintain detailed documentation on the configuration of FCC models
• Evaluate and tune existing detection models and rules to reduce false positives
• Develop data-driven methods to identify new typologies, emerging risks, and evolving financial crime trends
• Partner with Model Risk Management to support validation and performance monitoring of models

Financial Crimes Compliance Modeling & Analytics Manager

• Perform quality audits and reviews of all data submitted by the IDT teams in Care Compass
• Complete quality validation calls to participants, providers, and home care agencies to confirm that all services requested were received
• Capture and modify any data missing by the PACE staff and communicate key updates
• Maintain accurate records of all scheduled appointments and ensure compliance with regulatory requirements
• Inspect participant’s requests submitted by IDT and ensure deliverables are received
• Provide analysis reports of data information to management and prepare recommendations for review

Data Quality Analyst

• Define and execute the enterprise Data, Analytics, AI, and Automation strategy
• Develop and maintain a multi-year roadmap for data modernization
• Advise executive leadership on emerging technologies, AI trends, opportunities, and risks
• Manage enterprise data platform architecture, including the Enterprise Data Warehouse, Azure Data Lake
• Establish enterprise data governance, data quality, and master data management capabilities
• Develop enterprise analytics capabilities that improve decision-making
• Drive adoption of intelligent automation and AI capabilities to improve productivity
• Build, lead, and develop a high-performing organization

Senior Director, Enterprise Data, Analytics, AI & Automation

• Partner with attorneys and clients to evaluate data needs and develop analysis strategies
• Obtain, structure, and manage raw datasets from various sources
• Analyze and evaluate data using advanced tools and reporting platforms
• Perform advanced data analytics to generate deliverables such as exposure analyses
• Design exposure analysis reports to identify key case strengths
• Organize data workflows for wage and hour analyses
• Communicate findings effectively to stakeholders
• Evaluate and recommend new technologies for data analysis
• Assist with analysis of potential CAFA removal
• Prepare putative class lists and perform random sampling analyses
• Support attorneys during motion practice, depositions, and trial preparation

Data Analyst – Class Action Defense

• Support the development, maintenance, and administration of the Sustainable Health Care Cost Growth Target Program.
• Collect, analyze, and report data from health insurers, hospitals, and health care providers, including health care claims, encounter, and enrollment data.
• Produce summary statistics, performance measures, and other indicators used to assess cost growth targets and identify areas for improvement.
• Oversee data quality and validation, report generation, data request fulfillment, and ad hoc analyses for internal and external partners.
• Plan and manage key initiatives related to data analysis, validation, and internal process improvement.
• Collaborate closely with analysts in the Office of Health Analytics, program staff in the Office of Health Policy, and partners across OHA divisions such as Public Health and Health Systems, as well as external partners including the Department of Human Services (DHS) and the Department of Consumer and Business Services (DCBS).

Health Cost Data Analyst

• Partner with key stakeholders to execute and evolve our martech and analytics strategy.
• Serve as the day‑to‑day owner of key marketing systems (Marketo, 6sense or comparable, webinar/event tools) and their integrations, ensuring every program is correctly instrumented for measurement.
• Translate GTM questions (by industry, segment, offer, and account tier) into clear reporting, analysis, and recommendations that shape future campaigns and ABX motions.
• Build scalable workflows, documentation, and enablement so global and regional teams can execute high‑quality, account‑aware programs with confidence in the data.
• Co‑own and execute the marketing ops roadmap, from lifecycle enforcement and scoring refinements to the rollout of canonical Power BI dashboards for DG and ABX.
• Support global and regional teams with campaign build and QA (Marketo programs, SFDC campaigns, workflows) aligned to the **Global Go‑To‑Market Calendar**, ensuring every tactic is properly tagged for reporting.
• Provide recurring and ad‑hoc analysis on funnel health, campaign performance, ABX cohort outcomes, and partner/industry motions; translate findings into concrete next steps.
• Improve and maintain our attribution logic (person‑level touches, primary campaign source, marketing‑sourced and influenced pipeline) so stakeholders have high trust in the numbers.

Marketing Operations Manager, Analytics

• Assist with collecting, organizing, and validating sales and customer data from CRM and other business systems.
• Support the creation and maintenance of reports and dashboards to track sales performance, pipeline activity, and key business metrics.
• Analyze trends and identify opportunities to improve data quality, reporting accuracy, and operational efficiency.
• Prepare summaries and visualizations to support business reviews and leadership decision-making.
• Partner with Sales, Marketing, Customer Success, and Revenue Operations teams on ad hoc projects and analyses.
• Document processes and recommend improvements to reporting and data management practices.

Summer Intern – Sales Operations Data Analyst

• Maintain the KPI standards for Customer Support: document how each metric is calculated and interpreted, keep definitions current across data platforms, and flag to leadership when targets may need adjustment.
• Build and maintain dashboards in Omni Analytics (our BI platform) that serve analyst, manager, and leadership audiences; maintain the semantic layer and metric definitions so every team measures the same things the same way.
• Produce formal analyses and recommendations on volume trends, resolution efficiency, CSAT, contact rate, and cost performance; frame findings in terms of business impact, not just numbers.
• Identify anomalies and performance gaps in Support data; bring a recommended course of action to leadership rather than a flag, and track the response through to resolution.
• Consult on SQL, Snowflake, and BI standards used for Support reporting; ensure Support modeling approach, query patterns, and tooling match organizational standards.
• Lead metric alignment conversations with Data, Product, and Engineering; represent Support's analytical interests and keep shared definitions from drifting.
• Triage and scope ad hoc analysis requests from across the organization; exercise judgment on urgency, feasibility, and which questions are worth answering.

• Designing, implementing, and managing complex data analysis initiatives that support revenue cycle performance and organizational financial objectives
• Balancing multiple concurrent requests from a wide range of stakeholders while maintaining accuracy, consistency, and timely delivery of analytical outputs

Principal Data Analyst – Revenue Cycle

• Write and optimize SQL queries against Snowflake and MySQL databases to extract, transform, and analyze data.
• Build, maintain, and enhance interactive dashboards and reports in Power BI for stakeholders across the business.
• Partner with team members to translate business questions into clear, well-scoped analytical deliverables.
• Validate data quality and investigate discrepancies between source systems and reporting layers.
• Document data sources, definitions, metrics, and report logic to support self-service analytics.
• Support ad-hoc analysis requests and contribute to recurring business reviews.
• Continuously look for opportunities to streamline manual processes and improve reporting efficiency.

Revenue Operations Data Analyst

• Partner with HRBPs and cross-functional leaders to analyze, and present key trends across the end-to-end employee lifecycle (sourcing, hiring, engagement, performance, attrition).
• Assist in efforts to define, socialize, and govern a standard set of people metrics, reporting templates, and definitions to ensure a single source of truth and organizational consistency across all people data reporting.
• Help design, develop, and maintain reproducible and automated people analytics solutions (e.g., R Shiny dashboards) to empower the People team and leadership in building a best in class employee experience.
• Continuously research, evaluate, and implement emerging analytics tools, AI techniques, and innovative data visualization strategies to deliver smarter, faster, and more impactful insights to our stakeholders
• Maintain security models on products built within our People Analytics platform
• Actively contribute to the People Analytics strategy and roadmap development by providing high-impact insights on a quarterly basis for Quarterly Business Reviews.
• Proactively propose new metrics, research areas, and innovative strategies to improve people programs and measurement.

Data Analyst, People Analytics

• Provide power market analytics and monitoring to support Power Resources operations, planning, and decision-making.
• Analyze electric load and resource data (hourly, daily, weekly, monthly, and annual) related to settlements with counterparties; organize data and assist with reconciliation reporting.
• Develop, update, and maintain databases, software, and reporting tools that support critical Power Resources data and workflows.
• Develop complex SQL queries and data models; administer and support relational database management systems.
• Design, build, and manage ETL processes and around-the-clock (ATC) data pipelines; troubleshoot data quality, availability, and performance issues.
• Create dashboards and visualizations; compile, validate, and distribute KPI reports and other periodic or ad-hoc reporting.
• Perform statistical modeling and analysis of structured and unstructured datasets; identify trends and present results through reports and presentations.
• Develop and maintain data integrations and APIs that collect large time-series datasets from internal and external sources.
• Work with end users to understand data needs, document technical requirements, and deliver solutions on strict deadlines.
• Prepare and present written and verbal recommendations to support strategy and operations aligned with District goals.

Data Analyst jobs in Oregon

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