Top Remote Data Analyst Jobs

Partner with cross-functional teams to design experiments, analyze large datasets, build dashboards and metrics, identify trends and customer behaviors, improve data quality and instrumentation, and provide actionable recommendations that drive strategic decisions and operational improvements.

Design and analyze experiments, measure campaign incrementality, identify customer segments and engagement opportunities, validate tracking and anomalies, surface actionable insights, and build scalable measurement infrastructure with cross-functional partners.

Build and maintain revenue and customer-lifecycle reporting, author complex BigQuery SQL, develop segmentation and clustering models in BigQuery ML, perform entity resolution and data quality reconciliation, migrate and maintain Tableau dashboards, and deliver ad-hoc and recurring analyses to support Sales, Revenue, and cross-functional teams.

Analyze and design enterprise healthcare data solutions using Snowflake and advanced SQL. Perform data profiling, reconciliation, anomaly detection, source-to-target validation, and quality testing across claims, membership, provider, and health plan data. Support data architecture, dimensional modeling, governance, metadata, lineage, cataloging, and MDM initiatives. Prepare data for AI and advanced analytics, translate business requirements into solutions, resolve data issues with stakeholders, and communicate actionable insights while following security and HIPAA requirements.

Develops business cases, financial and operational models, data models, executive decision packages, portfolio dashboards, and benefit-validation reporting for cross-functional transformation initiatives. Extracts and analyzes enterprise data using SQL, Python, spreadsheets, and visualization platforms; automates repeatable workflows; standardizes metrics; tracks value realization; and partners with Finance, IT, data engineering, and business leaders to support decisions and embed sustainable reporting processes.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

Manage and maintain digital measurement and tracking across web and server-side setups. Implement and validate conversion tracking and Conversion APIs, configure GA4, build client-facing dashboards, audit analytics accounts, troubleshoot discrepancies, define custom data layers, support API/CRM integrations, and translate technical findings into actionable campaign insights while ensuring privacy-compliant measurement.

Analyze and connect complex datasets to generate actionable business insights and improve data products. Gather and manage requirements, document processes, define acceptance criteria, support testing, and collaborate with engineering and data teams. Serve as a data subject matter expert while advancing data quality, stewardship, lineage, metadata management, and stakeholder alignment across digital, direct-to-consumer, sports, fan, and business use cases.

Own end-to-end analytics across marketing, revenue, product, and partnerships. Build reliable data models and semantic layers in a lakehouse, maintain dashboards and monitoring, investigate anomalies, conduct experimentation, and translate complex analyses into recommendations for senior stakeholders. The role requires advanced SQL, Python, data modeling, stakeholder communication, autonomy, and mentoring, with responsibility for improving data quality and building analytical standards in a high-growth startup.

Lead and support actuarial data projects: investigate and extract data, validate reports, address data quality, modify SQL/SAS/4GL programs, produce tabular/graphical outputs, communicate results, coach team members, and participate in project leadership and data-system decisions.

Support supply chain and logistics by developing and automating reports and dashboards, analyzing large datasets to identify trends and process improvements, ensuring data accuracy, monitoring KPIs (on-time delivery, inventory turns, transportation costs), assisting root-cause analyses, and collaborating with operations, procurement, finance, and IT to deliver actionable insights.

Analyze billing and support performance, build and maintain data pipelines, apply statistical forecasting and A/B testing, collaborate cross-functionally, document analyses, and provide recommendations to reduce financial risk, disputes, churn, and operational inefficiencies.

The Data Product Analyst will own Signals data products, work with AI and Data Engineering, ensure data quality, conduct analyses, and shape product improvements through client feedback.

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.

Remote paid internship supporting Infrastructure reporting: gather and clean data, build small databases, run queries, analyze trends, generate and maintain reports and monthly decks, document procedures, and present findings under manager supervision.

Support healthcare and operational analytics by extracting, validating, and analyzing claims, pharmacy, lab, and operational data. Develop and maintain reports and dashboards using SQL, Excel, and BI tools, document workflows, meet regulatory reporting needs, and present insights and recommendations to stakeholders.

Analyze claims data using Python, SQL, dbt, PostgreSQL, Looker, and Excel; build ETLs, data models, reports, and visualizations; lead customer calls; provide technical recommendations; clarify requirements; and communicate precise insights while collaborating with engineering and operations teams.

As a Trainee Data Analyst, assist in data collection, cleaning, analysis, and support teams with reporting needs using SQL and visualization tools.

As a Senior Marketing Data Analyst, you'll analyze revenue impacts from marketing, optimize growth strategies, evaluate channels, and establish scalable reporting systems using SQL and AI tools.

Audit and improve human and model-generated data outputs for accuracy, consistency, and policy compliance. Provide actionable feedback, clarify evolving guidelines, support annotators, coach new team members, monitor workflows and blockers, identify recurring issues and edge cases, participate in calibration discussions, and document findings to improve team performance and quality at scale.

Build and maintain trusted Finance data products, including data models, transformations, pipelines, semantic models, dashboards, and analytical tools. Translate FP&A requirements into scalable solutions, validate and reconcile outputs, resolve data quality issues, and document lineage and business rules. Use SQL and Python for automation and advanced analytics supporting forecasting, revenue, customer, portfolio, and operational analysis. Partner with shared data teams and stakeholders while enabling self-service reporting and executive decision support.

The Data Privacy Compliance Analyst will support the development and implementation of data privacy programs, assist privacy operations, and ensure compliance with global privacy laws.

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.

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