Top Remote Data Analyst Jobs

The Senior Data Analyst delivers metrics and dashboards, collaborates with stakeholders, documents processes, and assists in defining requirements and special projects.

Support and optimize clinical and business applications: analyze needs, evaluate releases, perform workflow assessments, develop and execute test plans, manage incidents/changes, provide on-call support, and coordinate application-related projects and implementations.

The Tactical Data Link Analyst develops military standards, evaluates interoperability, researches technical documents, and participates in joint working groups to ensure compliance and interoperability across systems.

This role involves analyzing criminal justice data to drive change, leading technical delivery for state partners, managing projects, and collaborating across teams to ensure analytical foundations for products.

Lead design and analysis of experiments to evaluate ML models, build monitoring dashboards, investigate model performance and data drift, estimate opportunity size, and measure models' contributions to company KPIs while partnering with data scientists and product stakeholders.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.

The Data Insights Analyst manages and analyzes data to provide reports, insights, and training to clients. Responsibilities include data quality checks and use of reporting tools.

The Senior Analyst will support fundraising data-driven decisions, develop KPIs, analyze campaigns, and collaborate on revenue forecasting through data modeling, analysis, and reporting.

The role involves engineering consumer-level attributes, applying statistical techniques, building dashboards, and collaborating with various teams to enhance credit-related decisions based on data insights.

The Senior Data Analyst will analyze user behavior and product performance, generate insights, and communicate findings effectively to drive decision-making and improvements at OneStudyTeam.

Validate and monitor supplier and customer data quality, automate checks with SQL and Python, build dashboards (Tableau), support customer onboarding/deliveries via AWS and Snowflake, provide analytics and direct customer support, and improve data delivery processes.

The Data Quality Analyst will manage customer data migrations, ensuring accuracy and success while working with internal teams to facilitate the process. They will spend 60% of their time with clients and 40% on technical tasks like writing SQL queries and analyzing data structures.

Drive Data Governance requirements, analyze and validate data, collaborate with stakeholders, and maintain Data Governance artifacts using SQL and Informatica tools.

As a Senior Data Analyst, you'll provide actionable insights by analyzing product and engineering data, partnering with leadership on metrics frameworks and decision support for product delivery.

Serve as the customer-facing lead for legacy-to-Mark43 data migrations: run discovery, guide documentation, coordinate engineers and contractors, validate data, manage milestones, and support UAT and QA to ensure accurate, timely migrations.

The Senior Data Analyst will analyze user behavior, optimize growth strategies, support marketing effectiveness, and develop data infrastructures to enhance user growth at Meshy.

The Senior Data Analyst will analyze data to provide actionable insights across various teams, create dashboards, and ensure high-quality data availability.

The Senior Data Analyst will analyze financial data, build SQL datasets, develop dashboards in Tableau or Power BI, and support Finance teams in decision-making processes.

Own marketplace analytics and attribution, build source-of-truth dashboards, define and instrument product/growth metrics, run A/B experiments end-to-end, perform cohort LTV/payback analysis, support SEO and technical growth, and partner with AI to measure feature impact and accelerate analytics with AI tools.

Partner with cross-functional teams to analyze large healthcare datasets, build models and dashboards, and surface insights to reduce medical waste. Scope, run, and present analyses, monitor performance metrics, and support initiatives to improve financial and utilization outcomes.

Drive data-informed product and platform decisions by analyzing large datasets, building forecasts and statistical models, creating impactful visualizations, monitoring KPIs/OKRs, and partnering with product, engineering, and business teams to surface actionable insights that influence roadmap and strategy.

Own and build sales reporting, dashboards, and pipeline analyses to support forecasting and GTM strategy. Ensure data quality, deliver actionable insights on pipeline health, territory coverage, and account expansion, and partner with sales leadership and RevOps to optimize revenue operations.

The role involves defining reporting requirements, mapping data fields, collaborating on reporting logic, and identifying automation opportunities. Requires experience in data analysis and business intelligence.

The Senior Data Analyst will analyze and document data requirements, design data solutions, and deliver analytics projects using Microsoft technologies while collaborating with clients and project teams.

Analyze complex datasets, design models, conduct scenario analyses, and provide actionable recommendations to guide strategic decisions.