Data Analyst Remote Jobs in Washington (US)
This page tracks remote data analyst openings that are location-eligible for Washington.
This page tracks remote data analyst openings that are location-eligible for Washington.
Open jobs
2,473
Hiring companies this week
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$60 - $142,000
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2473 Jobs
1545 Companies
• Analyze customer implementation data, product usage patterns, and lifecycle metrics to identify new areas of impact and clinical value. • Build and maintain dashboards that track Go Live performance, time-to-value benchmarks, and early indicators of customer engagement. • Quantify the impact of configuration decisions, workflow design, and feature utilization on customer outcomes. • Identify trends and recurring friction points across deployments, translating them into structured insights for Operations and Product teams. • Collaborate with Clinical Product to surface real-world deployment insights that inform roadmap prioritization and feature refinement. • Work with Sales and Customer Success to develop evidence-based narratives around product value and operational impact. • Work with the Marketing team to evaluate communication opportunities, shape messaging based on real-world product impact, and support the development of relevant content and thought leadership. • Support leadership with structured analysis to guide strategic decisions around customer segments, workflows, and growth opportunities.
We empower the restaurant community to delight guests, do what they love, and thrive.
• Build and maintain reporting, dashboards, and analytics tools helping sales leaders and frontline teams understand performance, prioritize work, and identify growth opportunities. • Develop scalable analyses across sales execution, pipeline health, account prioritization, market coverage, territory performance, sales productivity, and growth planning. • Translate ambiguous business questions into structured approaches, insights, and recommendations for stakeholders. • Create decision support tools surfacing whitespace, high-priority accounts, coverage gaps, outreach penetration, funnel performance, and execution opportunities. • Conduct TAM, segment, and coverage analyses guiding leadership investments and scaling. • Own Retail’s territory analytics and operating infrastructure: design, account coverage, reporting, and maintenance. • Migrate manual workflows into scalable systems across Salesforce, Snowflake, and Sigma. • Develop territory visualization and mapping tools giving sales teams visibility into market coverage, prospect density, whitespace, and prioritization opportunities. • Partner with sales leadership to evaluate territory models, coverage, capacity, equity, and expansion opportunities. • Develop coverage strategies for new Retail segments and geographies as the business expands. • Build SQL/Python automations improving data quality and reducing manual work across data flows, scoring models, monitoring, and reporting. • Manage territory data loads, mapping configurations, and system updates with central operations and tech teams. • Build and maintain scalable enrichment workflows cleaning, classifying, and enhancing prospect and account data using LLMs. • Develop territory and account prioritization models using sales performance, volume potential, market characteristics, business attributes, and field capacity. • Own third-party market data strategy: vendor evaluation, procurement support, relationship management, and data quality oversight. • Build automated tools monitoring Rules of Engagement (ROE) exceptions, partnering with central governance to improve compliance workflows and automate resolutions. • Represent Retail’s territory data and infrastructure needs with cross-functional GTM partners across adjacent Business Technology, Data Infrastructure, and Finance. • Manage a roadmap of territory infrastructure enhancements based on impact and scalability. • Serve as Retail SME on territory operations, market coverage, account prioritization, and territory analytics.
Connect every worker, everywhere with the right information at the right time.
• Own revenue predictability, planning, and executive insight across new, renewal, and expansion revenue. • Manage and coach a Revenue Insights Analyst focused on post-sales analysis; hire and scale the team as scope grows • Own pre-sales analytics and planning personally while overseeing team output and quality • Own forecast methodology and accuracy across all revenue streams • Lead forecast cadence and executive performance reviews • Build and manage capacity models (headcount, coverage, productivity) • Lead annual and quarterly planning processes; integrate pipeline signals with planning assumptions • Lead quota and territory planning processes, ensuring capacity, coverage, and quota assumptions are aligned and data-backed • Translate performance data into actionable insight, including CAC, sales effectiveness, and full-funnel conversion/velocity across new, renewal, and expansion • Proactively flag performance risks and pipeline gaps early - before quarter-end - with clear recommended actions • Deliver executive and Board-level reporting • Build and maintain pipeline reporting (coverage, conversion, progression, aging) • Support forecast process (rollups, validation, scenarios) • Track leading indicators (pipeline creation, early-stage conversion) • Produce weekly forecast packages and dashboards • Ensure data accuracy and reporting consistency • Implement approaches to apply AI to streamline forecast modeling and scenario generation • Use AI-driven anomaly detection to surface pipeline/forecast risk earlier • Leverage AI to automate draft narratives and insights, freeing time for judgment-level analysis
Specialty therapy initiation and patient support company delivering informed access and improved outcomes.
Role Description The Data Steward is responsible for ensuring the quality, integrity, and appropriate use of data across the organization. This role plays a key part in supporting enterprise data governance initiatives by executing day-to-day stewardship activities, which may span master data, transactional data, and reference data. The Data Steward collaborates with both business and technical teams to ensure trusted and well-governed data assets are available for critical decision-making. Duties and Responsibilities - Review and validate enterprise data to ensure completeness, accuracy, and alignment with defined data standards. - Identify, investigate, and resolve data quality issues including duplicates, inconsistencies, and missing or invalid values. - Collaborate with business users and data analysts to refine data requirements and enforce data standards. - Participate in data quality reviews and assist with implementing corrective and preventative actions. - Manage stewardship workflows for data quality exceptions, including tasks related to matching, merging, or enrichment. - Support onboarding and validation of new data sources across transactional and reference systems. - Partner with data governance council to maintain and enforce policies related to data access, lineage, classification, and quality. - Document business metadata, data definitions, and stewardship procedures. - Assist with data profiling and root cause analysis across operational and analytical datasets. - Use tools such as Excel, SQL, and MDM or data quality platforms (e.g., Reltio) to monitor and manage data quality. - Provide support for data audits, regulatory reporting, or operational processes dependent on high-quality data. - Communicate with cross-functional stakeholders to resolve data issues and gather feedback. - Stay current on data governance and stewardship best practices, especially in regulated industries such as healthcare. - Perform other related duties as assigned by management. Qualifications - Education: - 5+ years of relevant experience with enterprise data, assessing data quality, and collaborating with business users on data workflows. - Bachelor’s degree in Business, Information Systems, Health Informatics, or a related field; or equivalent work experience. - Technical Skills: - Familiarity with data quality, stewardship, or MDM tools (e.g., Reltio, Informatica, Talend). - Basic understanding of data matching, normalization, and cleansing processes. - Proficiency with Microsoft Excel; working knowledge of SQL or business intelligence tools is a plus. - Other Skills: - Strong attention to detail and a process-oriented mindset. - Clear written and verbal communication skills. - Ability to interpret business requirements and translate them into data rules or checks. - Comfortable collaborating across departments in a dynamic environment. Competencies - Attention to Detail: Carefully reviews and validates data to maintain high standards of accuracy. - Data Literacy: Understands how data is structured, used, and governed within enterprise systems. - Problem Solving: Diagnoses root causes of data issues and participates in developing solutions. - Collaboration: Works well with others to resolve shared data challenges. - Accountability: Takes ownership of data quality tasks and follows through on assigned responsibilities. - Adaptability: Adjusts quickly to changes in tools, processes, and priorities. - Integrity: Maintains confidentiality and supports ethical data use. Benefits - Supportive, progressive, fast-paced environment. - Competitive pay structure. - Matching 401(k) with immediate vesting. - Medical, dental, vision, life, & short-term disability insurance.
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia.
Role Description We are seeking an experienced Epic Clarity Data Analyst to support enterprise reporting, analytics, and data-driven decision-making initiatives. This role will be heavily focused on SQL development, extracting and analyzing data from the Epic Clarity database, creating dashboards and visualizations, and delivering actionable insights to business and clinical stakeholders. The ideal candidate will possess strong technical expertise in Epic Clarity, SQL, Power BI, and Snowflake, with a proven ability to transform complex healthcare data into meaningful reporting solutions. This individual will work closely with operational, clinical, and technical teams to develop reports, dashboards, and analytics that support organizational goals and improve performance. Qualifications - Active Epic Clarity Certification - Strong proficiency in SQL, including complex query development, joins, stored procedures, and performance optimization - Experience extracting and analyzing data from Epic Clarity databases - Experience with Snowflake data platform - Experience creating dashboards and reports using Power BI - Strong analytical and problem-solving skills - Excellent communication and stakeholder management abilities - Ability to work independently while managing multiple priorities and deadlines Requirements - Experience with Tableau reporting and dashboard development - Healthcare industry experience, preferably working with Epic data environments - Experience supporting enterprise analytics and business intelligence initiatives - Knowledge of healthcare operational, financial, or clinical reporting requirements - Experience working with large-scale data warehouses and reporting platforms Benefits - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Company Description We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The only national organization representing PA educational programs
• Lead the design, development, and ongoing enhancement of externally-facing Tableau dashboards using PAEA data. • Own the full dashboard lifecycle, including requirements gathering, data preparation, visualization design, testing, publishing, and iterative improvement. • Establish and apply best practices for data visualization, ensuring dashboards are intuitive, accurate, and deliver clear value to members and stakeholders. • Collaborate with internal teams to translate business needs into effective, user-centered dashboard solutions. • Develop, maintain, and enhance reports and dashboards that support internal operations and member-facing offerings. • Partner with business units to define reporting requirements and refine business questions to ensure meaningful, actionable insights. • Query, clean, aggregate, and transform data in alignment with data management and analytics best practices. • Design and deliver data visualizations in Tableau and Salesforce for a variety of audiences. • Translate data into actionable insights and support stakeholders in interpreting and applying findings to inform decision-making. • Ensure the integrity, consistency, and completeness of PAEA’s data in alignment with the Association’s data model. • Conduct regular assessments of data quality, particularly within the Salesforce ecosystem, and identify opportunities for improvement. • Contribute to the development and maintenance of data governance practices, including data standards, definitions, and usage guidelines.
IWU, in covenant with God's reconciling work and in accordance with the Biblical principles of our historic Wesleyan tradition, commits to build a community that reflects Kingdom diversity. We will foster an intentional environment for living, teaching and learning, which exhibits honor, respect, and dignity. Acknowledging visible or invisible differences, our community authentically values each member's earthly and eternal worth. We refute ignorance and isolation and embrace deliberate and courageous engagement that exhibits Christ's commandment to love all humankind.
Role Description DeVoe School of Business, Technology, and Leadership is seeking experienced Adjunct Faculty to teach undergraduate and graduate applied A.I. courses in an online, asynchronous format. Additional opportunities exist to teach international student courses in a hybrid format, which includes online coursework and a two-day in-person session located in Merrillville, IN or Dallas, TX. - Perform instruction related duties and responsibilities in a timely manner and in accordance with the mission, policies and procedures of the college. - Employ a range of suitable strategies to foster student learning, stimulate class discussions, encourage active learning in all students, maintain proper class related records, promptly assess student coursework, and apprise students of progress. - Articulate, current within his or her discipline, and demonstrate a passion for teaching and learning with related professional experience. - Incorporate Biblical principles into the content area. - Communicate with all IWU constituents in a professional and academic manner. - (Essential) Qualifications - According to Indiana Wesleyan University employment policy, all employees must possess a strong Christian commitment and adhere to the standards outlined in the IWU Community Lifestyle Statement. - Doctoral degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Information Technology, or related field. Or a Doctorate at 18 graduate hours in the field. Applicants with a Master’s degree and 5+ years of applied A.I. and/or analytics experience will be considered. - 5+ years of experience in A.I., data science, and/or the integration of emerging technology into the business environment. - Prior teaching experience preferred. - Applicants with at least five years of relevant work experience in Data Analytics/Science, Computer Science, Artificial Intelligence, Information Technology are invited to apply. - Teaching experience in cross-cultural settings preferred (not required). Requirements - Ability to model an active and mature personal faith in Jesus Christ. - Demonstrated subject matter expertise and active involvement in continuous education/scholarship in the field. - Passion and ability to teach effectively, including effective written and verbal communication. - Ability to motivate and connect with students of diverse ages, cultures, and backgrounds. - Ability to be engaged, reliable, and professional in a distributed work environment. - Proficiency in MS Office products and online Learning Management software. Company Description IWU, in covenant with God's reconciling work and in accordance with the Biblical principles of our historic Wesleyan tradition, commits to build a community that reflects Kingdom diversity. We will foster an intentional environment for living, teaching and learning, which exhibits honor, respect, and dignity. Acknowledging visible or invisible differences, our community authentically values each member's earthly and eternal worth. We refute ignorance and isolation and embrace deliberate and courageous engagement that exhibits Christ's commandment to love all humankind.
• Develop and lead the company’s data and analytics strategy, establishing the priorities, architecture, tools, and team required to support continued growth • Build executive and functional dashboards that provide clear visibility into company performance, customer behavior, marketing efficiency, retention, channel economics, inventory, and operational trends • Establish a trusted source of truth through consistent metric definitions, scalable reporting, data quality standards, and effective governance • Partner with leaders across Growth, eCommerce, Retail, Finance, Operations, and Customer Experience to turn business questions into actionable insights, forecasts, and recommendations • Develop the company’s AI and advanced analytics roadmap, identifying opportunities to improve reporting, forecasting, decision-making, automation, and customer understanding • Oversee data privacy, access controls, vendor risk, cybersecurity practices, and incident readiness in partnership with internal stakeholders and external experts • Build and lead a high-performing data and analytics team while fostering greater data fluency and self-service capabilities across the organization
The all-in-one financial platform trusted by millions of consumers to make money better.
• Recommend underwriting, line/limit, and policy changes to responsibly grow approvals and usage (e.g., cutoffs, segmentation, decision logic), using internal behavior, external risk signals, and reject inference techniques. • Develop cross-product customer credit profiles by connecting external credit attributes to on-us behavior, and identify signals that generalize across products vs. are product-specific. • Drive outcomes from uncovering insights in monitoring, to recommending and executing against strategic insights. • Design, execute, and analyze experiments (A/B tests, holdouts, policy tests), turning results into strategic recommendations and roll-out plans. • Intertwine analytics with business and product strategy to craft business proposals that ultimately impact the bottom-line. • Dig into user behavior and “double-clicks” of the data to identify high-impact opportunities for product improvements or targeted outreach, including second-order impacts. • Leverage AI-powered tools and techniques to accelerate analysis, develop and validate predictive insights, and push the boundaries of what’s possible in product analytics. • Share business insights and product enhancement recommendations to senior leadership and stakeholders effectively and concisely.
• Extract employee and organizational data from the Insperity HR platform. • Pull, analyze, and reconcile Excel reports from multiple data sources. • Review historical employee data to identify inconsistencies, duplicate records, missing information, and inaccuracies. • Perform data cleanup activities following established business rules and project guidelines. • Research, validate, organize, and maintain employee data. • Prepare clean, accurate datasets for migration into a new HRIS platform. • Create and maintain Excel files used for data transformation, validation, and import activities. • Support data validation and quality assurance throughout the HRIS implementation. • Document completed work and escalate discrepancies or data quality issues as needed. • Collaborate with project team members while consistently delivering accurate, high-quality work. • Assist with data validation, testing, and post-go-live support as project needs evolve.
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SQL, Tableau, Performance Optimization, Go, Amazon Redshift, BigQuery