Data Analyst

• Build Dashboards, Reports, and Automate Processes (50%)
• Maintain and enhance existing dashboards by collaborating with business partners to understand reporting needs, prioritize requests, and implement data-driven improvements.
• Develop and maintain a data dictionary that clearly documents and defines key metrics, data sources, and calculation methodologies to promote consistency and transparency.
• Partner with the Data Infrastructure team to define reporting requirements and data models to shape self-service analytics.
• Review and analyze existing reports to ensure alignment in metric definitions, improve data accuracy, and identify opportunities to consolidate or retire redundant reports.
• Conduct audits of existing reports and distribution lists to verify appropriate access, ensure compliance with data privacy and confidentiality requirements, and support responsible data governance.
• Maintain existing automations and develop additional process automation required for automated reporting and dashboard updates.
• Data Analysis (25%)
• Analyze data to identify trends, patterns, and insights, and translate findings into clear, actionable recommendations to support workforce and business decisions.
• Respond to ad hoc data requests by preparing clear summaries and visualizations that accurately describe the requested data, highlight key takeaways, and support informed decision-making.
• Support data literacy efforts by helping business partners and other employees understand how to interpret, use, and apply data appropriately in compliance with established definitions, privacy standards, and reporting guidelines.
• Data Stewardship (25%)
• Support data stewardship practices by helping to document data ownership, data definitions, and usage standards to promote data quality, consistency, and accountability.
• Assist in monitoring data quality and integrity by identifying data issues, escalating discrepancies, and partnering with system owners to support remediation efforts.
• Partner with the Data Governance team to define and enforce BOSS data standards.

Lead Associate, Business Operations – Shared Services Data Analyst

• Measure the impact of website initiatives, marketing programs, design changes, and cross-functional projects
• Analyze customer journeys, engagement patterns, conversion funnels, and page-level performance
• Design, monitor, and evaluate A/B tests and other web experiments
• Use web analytics and behavioral analytics platforms to investigate usability, engagement, and conversion behavior
• Produce recurring reports covering website engagement, session patterns, funnel performance, and emerging trends
• Translate loosely defined stakeholder questions into structured analytical plans
• Conduct ad hoc investigations to identify performance issues, behavioral gaps, and optimization opportunities
• Partner with marketing, web, product, and operations stakeholders to establish measurement requirements and success metrics
• Analyze the relationship between web traffic, lead sources, and downstream sales-funnel performance
• Develop dashboards, data summaries, and written recommendations that make complex findings accessible to leadership
• Monitor analytics data for outages, anomalies, tracking issues, or unexpected performance changes
• Document measurement approaches, findings, and repeatable reporting processes

Web Analytics Manager

• Lead and own the station-facing insights service
• Develop expertise on station audiences
• Conduct monthly webinars for stations
• Create and manage monthly newsletter for stations
• Thoroughly learn and use NPR’s line of analytics software
• Build and sustain collaborative relationships with stations
• Oversee compliance with data collection processes
• Support stations to maximize value of NPR's products
• Serve as station ambassador communicating station needs
• Identify and compile internal research for stations
• Write and update guides and documentation

Senior Insights Analyst, Station Analytics

• Working in a fast-paced, innovative, and change-oriented work environment
• Using programming skills to explore, examine and interpret large-scale data in various forms
• Determine the appropriate techniques to manipulate complex high-volume data, develop insights through analysis and modelling, evaluate business problems, and improve our analytical speed-to-insight
• Perform data mining and analyzing of structured and unstructured data associated with claims, policy, payment activities to solve complex business problems using advanced techniques and leveraging industry cutting-edge technology
• Focus on automation and utilizing technology to provide repeatable reporting solutions to promote self-service culture for business partners
• Building a strong network of peers and mentors
• Attending on-site technical and professional development classes
• Presenting accomplishments to leadership across the organization
• Participating in sponsored community service events

Data Analytics Co-Op

• Deliver growth for Unilever within the Club Channel, with ownership of the Deodorant category.
• Develop and execute Joint Business Plans with Costco, including assortment, pricing, and promotional strategies.
• Build and maintain strong customer relationships while serving as the primary liaison for business-related discussions.
• Lead strategic growth initiatives from ideation through execution.
• Analyze category, customer, and syndicated data to identify business opportunities and actionable insights.
• Conduct reporting, trend analysis, and performance reviews to support decision-making.
• Coordinate annual planning activities and customer business reviews.
• Partner closely with Marketing, Shopper Marketing, Category Management, Supply Chain, Insights, and other cross-functional teams.
• Drive trade investment effectiveness and optimize business performance.
• Develop marketing, merchandising, and customer-specific innovation programs that support growth objectives.

Associate Customer Business Manager, Analytics

• This position plays a critical role in advancing IH&S’s finance data transformation initiatives by focusing on developing and maintaining Power BI dashboards, enabling standardized financial reporting, and translating complex financial and operational data into clear, decision-ready insights.
• Building data models and creating processes for monthly, quarterly, and annual financial reporting cycles, ensuring accuracy, consistency, and timeliness of data.
• Analyze financial and operational data to identify ways to capture and report on trends, variances, risks, and opportunities, and present findings to finance leadership.
• Partner with Finance, Accounting, Commercial, IT, and Operations teams to ensure data consistency, and alignment between the tools (dashboards/reports) used for financial reporting and to monitor business performance drivers.
• Maintain and prioritize reporting and analytics backlogs leveraging the Agile framework.
• Support executive-level reporting by creating clear, concise, and visually compelling dashboards and summaries.
• Contribute to finance and business transformation initiatives, including automation of reporting processes and improvement of data accessibility and usability.
• Support various workflows by developing financial KPI calculation logic, creating PBI visuals for leadership consumption.
• Support standardized reporting frameworks and ongoing transformation initiatives related to forecasting, reporting standardization, and data governance.

Data Analyst, Finance

• Providing day-to-day support of the PLM tool and product community, ensure consistency of material master data fields in PLM with other business management systems, validate product data, BOMs, Operations and Financial Planning requirements, collaborate with PLM vendor support team and monitor and review system performance.
• Ensure the Propel PLM system is seamlessly integrated into our operations, supporting product, engineering, manufacturing, and supply chain processes.
• Maintain the PLM system's performance, security, and reliability as the system of record for all products.
• Ensure the accuracy, consistency, and security of PLM data across all platforms.
• Develop and implement data management practices to improve data quality and accessibility.
• Tailor the PLM system to meet operational needs, implementing workflows, user roles, and data structures that support our rapidly evolving manufacturing and engineering processes.
• Work closely with the Operations, Engineering, Business Technology and Product teams to ensure the PLM system enhances our operational capabilities and supports cross-functional initiatives.
• Equip operational teams with the necessary training and support to utilize the PLM system fully, enhancing user adoption and system utility.
• Drive continuous improvement by analyzing system usage, gathering feedback from operational teams, and implementing enhancements to support evolving business needs.
• Lead PLM-related projects within the Operations team, managing timelines, resources, and deliverables to achieve project objectives.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

PLM Data Analyst

• As part of the Insights at BlueLabs, you’ll be working with a group of analysts and data scientists who work across BlueLabs’ client sectors, including commercial, political, and non-profit clients, to inform data-driven decisions and strategy.
• This position requires a mix of analysis and data management as well as client presentation and communication.
• You’ll be responsible for hard analysis as well as putting together the data infrastructure, reports, and calculators that will power our solutions as well as creating the client-facing materials that summarize those findings.
• Analysts at BlueLabs are the ones with the best understanding of the nuances of a client’s data and our solutions.
• They can execute on the perfect solution but can also discover the answer that gets us 95% of the way there is a quicker and more efficient way.
• Some of our work is templated, but our team excels when they come up with creative solutions to the problems.
• This will require creating new calculators or analyzing existing outputs in a new light.
• Some examples of projects you might work on:
• Analyze polling data to discover trends and insights and then create a report that clearly communicates your findings
• Build crosstabs that detail the makeup of an advertising audience, target universe, or group of survey respondents
• Present your findings to clients and other stakeholders who may be made up of non-technical and/or highly technical people.
• Mentor analysts or fellows and support their growth and development
• Such other reasonable tasks may be assigned by management.

Analytics Manager

• Developing, maintaining, and supporting Workday Financial and Human Resources reports for the Medical School Finance office.
• Assisting WUSM department users by providing reporting solutions that enhance planning, historical analysis, and data-driven decision-making.
• Assisting with monthly data extracts and reconciliation processes to ensure accuracy and consistency between Workday reporting outputs and the data lake.
• Workday report writing.
• Data lake loading/balancing.
• Completes monthly reports for Business Office, physicians, and managers.
• Establishes user reports for data frequently requested.
• Provides timely and accurate ad hoc reports for Business Office, Chairman, Business Office, physicians, and managers.
• Analyzing volume trends and preparing forecasts for department leadership, JOSP, and affiliated hospitals for future planning purposes.
• Serves as department’s Reporting super user for EPIC.

Analyst, Data Reporting – Medical School Financial Reporting, Workday

• Manage data, analytics, and reporting workflows for paid media campaigns, including reporting dashboard setup, QA, and troubleshooting.
• Strategically implement website analytics and conversion tracking.
• Execute audience onboarding and activation for paid media campaigns.
• Own functional areas of data reporting (e.g., Datorama ETL process, performance benchmarks) and/or substantial client analytics projects.
• Use statistical knowledge & critical thinking to generate accurate and actionable insights.
• Attend and lead meetings and calls with vendors, internal teams, and clients.
• Share and contribute to the agency’s strategic approach to media reporting and measurement.
• Create clean, professional visuals that make advanced technical concepts easy for non-technical audiences to understand.
• Pay close attention to platform releases, new ad tech, and emerging tools, assessing how they fit into BPI’s stack and making recommendations for broader team adoption.
• Directly manage Marketing Analytics fellows and provide mentorship to Marketing Analysts and Senior Marketing Analysts.
• Assist in training team members on marketing analytics processes and the agency's analytics/AdTech technology stack.

Marketing Analytics Manager

• Analyze large and complex healthcare claims datasets to support post-payment analytics, payment integrity initiatives, and program objectives.
• Develop, maintain, and optimize analytical datasets, reports, dashboards, and visualizations using Databricks and other analytics tools to support business and operational needs.
• Collaborate with program managers, functional leads, technical teams, and government clients to gather, interpret, and translate business requirements into actionable analytical solutions.
• Perform advanced data analysis to identify payment trends, anomalies, overpayments, and opportunities for operational improvement while ensuring data accuracy and integrity.
• Validate, reconcile, and monitor healthcare claims data to ensure consistency, completeness, and compliance with established data governance standards.
• Provide analytical expertise and recommendations to stakeholders by presenting findings, communicating insights, and supporting data-driven decision-making.

Senior Data Analyst – Post Payment Analytics

• Leverage data to gain insight into trending, user experience and behavior to drive the appropriate digital marketing, mobile and social strategies.
• Take various sources of customer and campaign data and condense it down to a coherent story with clear conclusions and actionable insights, acting as the subject matter expert for digital analytics.
• Measure site usability/effectiveness, along with monetization of media campaigns, and present actionable insights and recommendations based on data results and best practices.
• Visualize data into meaningful presentation decks and dashboards to provide holistic views of site user engagement activity to business stakeholders.
• Update and build dashboards, leveraging Power BI or Tableau, integrating Adobe Analytics and other data.
• Perform deep dive analysis via Case Studies to tell a comprehensive analytics story with data points and actionable insights to drive recommendations and decision making.
• Leverage Agile Delivery methods and processes to effectively track user stories, level of effort estimates, and plan with your Agile team for each Sprint.
• Drive data analysis of web projects, A/B and multivariate testing, and ad hoc requests.
• Support tag management requirements and documentation services to maintain integrity across multiple sources of data, including providing user acceptance testing and validation of web reporting creating, enhancements, and adjustments.
• Partner with multiple vendors to implement analytics requirements and streamline project processes.
• Multi-task and self-prioritize work queue to balance work queue and ensure stakeholder expectations are being met.
• Engage in analytics delivery re-prioritization discussions as needed with stakeholders to maximize internal team and stakeholder satisfaction.

Senior Analyst – Marketing Analytics

• Analyze HR data to deeply understand processes, trends, and opportunities, ensuring findings are actionable and aligned with organizational goals
• Design and implement advanced data visualizations and dashboards using tools like Tableau or PowerBI to drive strategic decision-making
• Collaborate with HR and business teams to identify to develop metrics that promote excellence and optimize workflows
• Perform detailed data analysis and validation to ensure accuracy and reliability of insights provided to stakeholders
• Proactively address challenges, offering innovative, data-driven solutions that enhance HR processes and outcomes
• Communicate complex data insights clearly and effectively, ensuring all stakeholders understand implications and actions
• Develop and maintain data documentation, run books, and data dictionaries in collaboration with HR data governance
• Stay informed of industry trends and best practices in people analytics and apply them to enhance our workforce strategies.

Senior People Analytics Data Analyst

• Analyze website analytics data in Google Analytics (GA4) to identify key insights and opportunities for improvement across clients' digital properties and websites
• Support website development strategies by analyzing clients’ web performance data and recommending new digital KPI measurement opportunities
• Provide Google Analytics (GA4) support to clients, including setup and implementation, troubleshooting, and reporting
• Develop and maintain reporting dashboards in Google Data Studio to provide clients with regular insights into website and marketing campaign performance
• Implement reporting solutions that combine data across sources such as a client’s website, e-commerce and relationship management systems
• Implement and troubleshoot Google Analytics (GA4) and other tracking pixels using Google Tag Manager
• Run A/B testing and other data-driven experiments to optimize website and marketing performance
• Contribute analytics and SEO expertise to new business proposals and pitches, scoping measurement approaches for prospective clients

Web & Marketing Analytics Manager

• Own payroll data integrity, end-to-end mapping, reconciliations, and recurring/ ad-hoc reporting for payroll and timekeeping systems
• Design and maintain dashboards and Key Performance Indicators (KPIs) that surface exceptions, trends, and compliance risks
• Act as the payroll data Subject Matter Expert (SME) and first escalation point for data, reporting, and metrics issues
• Define data requirements and validate outcomes for system changes, integrations, and payroll deploys
• Train payroll operations and partners to read, use, and trust payroll data and reports

Senior Payroll Business Analyst, Data & Reporting

• Partner with Data Engineers, BI Analysts and business stakeholders from beginning to end of their data projects – lead effort to define, design, develop and standardize supply chain data visualization / analytics
• Develop world-class BI solutions using best practices, standards and procedures for services and systems
• Develop analysis and reporting tools that enable pre and post analysis of process changes in distribution and fulfillment centers
• Provide operation teams with standard performance reporting package to facilitate gap analysis review and action planning process
• Plan and scope infrastructure, architecture, design, and technical configurations for implementations
• Provide guidance and mentorship to developing analyst team members
• Architect databases and workflows, build pipelines and data schemes to power new data models and enable new analytics
• Serve as SME on Distribution Center and Fulfillment Center systems and operational processes, data models, and KPI metric development
• Drive initiatives identified by leadership, collaborate cross-functionally, and manage key stakeholder relationships
• Present to Supply Chain leadership and make recommendations based on data analysis of key metrics
• Identify trends for addressing changes in our business and finding the root cause in partnership with our operational stakeholders

Data Analyst 3 – Transportation

• Interact with various teams across T-Mobile to provide insights, analysis and recommendations that deliver data-driven, optimized experiences.
• Serve as a key point of contact in providing data and reporting solutions to drive enterprise results, including reports, dashboards, visuals, and self-service environments.
• Utilize analytical and modeling capability to enhance decision making across a range of options and present findings and recommendations for prioritization of resources to all levels of the organization.

Business Analysis Manager – Retail Distribution Strategy, Analytics

• Support one or more analytical aspects of the business products and services life cycle
• Work with more senior team members, customers, Data Engineers, Data Architects, and Capability Managers to capture capability needs and drive quality data and reporting solutions
• Create and maintain deliverables such as data set creation, operational reports, and analytical dashboards
• Collaborate with cross-functional teams on data-driven projects
• Conduct requirement walkthroughs and sprint reviews
• Assure compliance for required standards and all necessary approvals have been obtained throughout the data delivery lifecycle

Associate Data Solutions Analyst

• The Litigation Data Analyst – Mass Tort & Product Liability serves as a strategic insights partner to our premier mass tort and product liability practice.
• This position will leverage data analytics to guide litigation strategy, predict case outcomes, and optimize financial performance across complex multi-plaintiff litigation portfolios.
• Analyze historical verdict data, settlement patterns, and case characteristics to develop predictive models for case valuation and outcome probability
• Build comprehensive databases of comparable verdicts, settlements, and judicial decisions to support case strategy and client counseling
• Develop statistical models to assess likelihood of settlement versus trial outcomes based on case factors, jurisdiction, and opposing counsel profiles
• Create financial modeling frameworks to project settlement ranges, trial outcomes, and expected case values across different scenarios
• Monitor and analyze mass tort inventory performance, identifying trends in case development, settlement velocity, and financial outcomes
• Collaborate with litigation teams to understand case development challenges and translate them into analytical problems
• Structure complex litigation problems into clear analytical tasks, supporting strategic decision-making on case selection, resource allocation, and settlement timing
• Prioritize analyses based on case value, urgency, and strategic importance to the practice
• Design and build automated dashboards tracking key litigation metrics including case inventory, settlement rates, average case values, and practice profitability
• Create executive-level reports on practice performance, including revenue forecasts, cost analysis, and profit margins by case type and jurisdiction
• Streamline existing case reporting processes to ensure timely and accurate delivery of key performance indicators
• Present findings and recommendations in clear, concise manner tailored to different audiences (partners, associates, clients, experts)
• Clean, manipulate, and analyze large litigation datasets to extract trends, patterns, and actionable insights
• Use statistical and data modeling techniques to support litigation strategy and business development decisions
• Connect analytical findings to litigation strategy, financial outcomes, and client impact
• Partner with attorneys, paralegals, case managers, and finance teams to gather requirements and align on analytical objectives
• Collaborate with business development team to identify market opportunities and practice growth strategies
• Share knowledge and best practices with litigation teams to elevate analytical capabilities across the practice

Data Analyst jobs in Washington

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Lead Associate, Business Operations – Shared Services Data Analyst

Web Analytics Manager

Senior Insights Analyst, Station Analytics

Data Analytics Co-Op

Associate Customer Business Manager, Analytics

Data Analyst, Finance

PLM Data Analyst

Analytics Manager

Analyst, Data Reporting – Medical School Financial Reporting, Workday

Associate Customer Business Manager, Analytics

Marketing Analytics Manager

Senior Data Analyst – Post Payment Analytics

Senior Analyst – Marketing Analytics

Senior People Analytics Data Analyst

Web & Marketing Analytics Manager

Senior Payroll Business Analyst, Data & Reporting

Data Analyst 3 – Transportation

Business Analysis Manager – Retail Distribution Strategy, Analytics

Associate Data Solutions Analyst

Litigation Data Analyst – Mass Tort, Product Liability