Top Remote Senior Data Analyst Jobs

The Senior Data Analyst will deliver analytics solutions, develop KPIs and dashboards, conduct advanced analysis, and mentor junior analysts while collaborating with stakeholders.

The role involves delivering analytical projects in consumer credit, building machine learning models, and collaborating with clients to implement data-driven strategies.

The Senior Data Analyst will lead complex data analysis projects, mentor junior analysts, develop dashboards, and provide insights to drive strategic decisions. Responsibilities include troubleshooting data issues and communicating findings effectively.

Lead research and thought leadership on data management and AI readiness, produce actionable insights, advise clients and sales, present at events, mentor analysts, and improve research processes to drive client outcomes.

Develop and maintain network-level coding and reimbursement quality programs. Perform coding audits and monitoring, evaluate clinical documentation for coding accuracy, respond to coding inquiries, deliver education and action plans, and maintain reporting databases to support compliance and billing.

Lead analytics for product or business domains by transforming data into actionable insights. Define and track KPIs, build dashboards and reports, perform EDA, cohort/funnel and A/B test analysis, validate data quality, partner with Product and Engineering, use AI tools to accelerate analysis, mentor junior analysts, and manage end-to-end analytical projects.

Build automated enterprise reporting across clinical, operations, claims, and risk adjustment; answer ad-hoc SQL questions; design ETL and data marts with engineering; ensure data quality and documentation; develop clinical business logic and regulatory/PACE reports; mentor analysts and set reporting standards.

Create and distribute reports, extract and analyze statistical data, ensure data integrity, identify trends and process issues, provide training and technical support, make recommendations to management, and present results to clients and management.

The Senior Marketing Data Analyst will analyze customer behavior, optimize marketing spend, and develop actionable strategies while managing the marketing data infrastructure and producing insights for decision-making.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

The Senior Marketing Data Analyst will enhance marketing performance through data analysis, optimization strategies, and collaboration with marketing stakeholders, focusing on Checking and Deposit Acquisition.

Lead data quality and analytics for VA EHRM deployments by building and validating pipelines, applying SQL/R/Python and NLP/ML, defining governance rules in Purview/Collibra, certifying dashboards (Tableau/Power BI), and delivering actionable visualizations and insights to executive stakeholders.

Support AI, analytics, and data modernization for VA research: perform ETL, statistical programming, reporting, dashboards, LLM-enabled analytics, data integration, quality validation, and executive-level presentations to improve operational decision-making.

Lead client-facing analytics engagements: translate ambiguous business questions into data models, dashboards, and KPIs; write production-quality SQL and dbt models; build BI reporting; apply AI tools to accelerate analysis; drive proactive insights; set stakeholder cadence; and mentor junior analysts to ensure adoption and delivery.

Lead data quality efforts by querying databases, reviewing data and dashboards, investigating data inconsistencies, and partnering with engineering, analytics, finance, and compliance to improve data integrity and regulatory adherence.

Lead end-to-end data conversion projects: analyze, map, transform, and validate large datasets; build and run ETL/ELT processes; resolve data quality issues; coordinate cutovers and go-lives; act as primary technical customer contact; mentor junior staff; and leverage generative AI tools to streamline migrations and improve delivery.

The Senior RCM Data Analyst leads revenue cycle analysis, oversees RCM analysts, and partners with leaders to enhance financial performance and operational efficiency. Responsibilities include developing reports and dashboards, identifying trends, and ensuring data accuracy.

Lead processing of survey data into cloud analysis tools, build dashboards and visualizations, train and support clients, collaborate across teams, and deliver high-quality work to meet project objectives and deadlines.

Design and maintain data pipelines (SQL, dbt, BigQuery), ensure data quality and event tracking, analyze A/B tests, build funnel and attribution reporting, create Looker dashboards, and support LLM-enriched data models for smarter targeting and segmentation.

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.

Lead requirements gathering, document functional specifications, review data models, validate implementations, support production deployments, investigate data quality and collaborate with technology teams to ensure data completeness and lineage.

Senior Business Analyst specializing in advanced data visualization: create dashboards, choose optimal chart types for varied audiences, visualize high-dimensional data, apply statistics and financial modeling, collaborate with UX, and help drive execution.

The role involves guiding B2B CMOs in advertising strategy, providing market insights, developing media strategies, and creating actionable content. The Senior Director will also mentor less experienced team members and support sales efforts.

Lead and conduct fraud and economic crime investigations, engage with customers, extract and analyse data from group systems, produce and maintain fraud MI and Power BI reports, optimise transaction monitoring rules, and collaborate with risk, operations and technology teams to improve controls and customer outcomes.

Monitor and optimize programmatic advertising campaigns using real-time and historical data. Diagnose performance issues, design and evaluate A/B and multivariate tests, collaborate with AdOps, Product, and Data Science to operationalize ML-driven optimization, and help evolve manual campaign management into automated decisioning systems to improve revenue and campaign performance.