Top Remote Data Analyst Jobs

Performs treasury finance operations, including loan sales, data analysis, reconciliation, and financial controls. Automates recurring workflows using SQL, Python, Excel, and AI tools; maintains and modernizes data pipelines; investigates discrepancies; and communicates insights to technical and business stakeholders. Serves as a subject matter expert on loan data and finance processes while supporting fraud prevention and financial governance.

Leads marketing measurement strategy through geo holdout and incrementality testing, forecasting, experimentation, and statistical analysis. Partners with Marketing, agencies, and Data Science to guide channel budgets and campaign decisions. Queries large-scale data using SQL and Python in Databricks and BigQuery, develops measurement models, automates analyses with AI tools, and mentors analysts while providing technical leadership.

The Data Analyst II supports data extraction, cleansing, validation, transformation, ETL, reporting, dashboard creation, and visualization using SQL, Power BI, and Python. The role also assists with AI-enabled tools, automation, APIs, prototypes, and application workflows. Responsibilities include documenting data processes, validating outputs, communicating insights, supporting data quality and security, collaborating with stakeholders, and leading smaller-scope tasks with guidance from senior team members.

Performs data reconciliations, validation, quality assurance, and root-cause analysis for mortgage and regulatory reporting. Develops reconciliation, exception, management, and operational reports; investigates discrepancies; coordinates corrective actions; documents procedures and controls; supports audits and regulatory examinations; and identifies automation and process-improvement opportunities using Excel, Power BI, SQL, and generative AI tools.

Own product analytics and measurement strategy, including KPI definition, experimentation, reporting, executive dashboards, and scalable dbt datasets. Partner with Product, Growth, Engineering, Design, and leadership to guide roadmap and marketplace growth decisions. Conduct product and market analysis, manage technology-category data, research cybersecurity and AI markets, and use LLMs to improve workflows and enrich the product database.

Analyze business performance, develop hypotheses, answer critical business questions, and build dashboards and reports in Sigma. Support budgeting, forecasting, data quality checks, and reconciliations while partnering with teams across growth, product, insurance, finance, and leadership. Serve as a trusted data advisor by answering metric and reporting questions and promoting data-driven decision-making.

Analyze product, provider network, user engagement, and platform performance data using SQL and Python. Build dashboards, reports, data models, and automated quality reporting with Looker, dbt, and related tools. Partner with technical and business stakeholders to translate quantitative and qualitative insights into actionable product, operational, and strategic recommendations. Support data warehouse architecture, ETL/ELT processes, and senior leadership decision-making.

Manages clinical trials data applications, pipelines, integrations, cloud data architecture, reporting, and informatics structures. Develops schemas, custom reports, data transformations, and visualizations; supports OnCore, eRegulatory systems, REDCap, Snowflake, Fabric, and APIs. Collaborates with technical teams, clinical research staff, leadership, and vendors; provides training, documentation, application support, data quality oversight, and technical leadership for datamart development and reporting initiatives.

The Senior Data Analyst will develop and improve Sigma dashboards, reporting, and business intelligence capabilities. Responsibilities include gathering stakeholder requirements, querying and analyzing complex datasets with SQL, improving data quality and governance, defining metrics, automating reporting processes, and partnering on Snowflake data modeling and warehouse improvements. The role also evaluates analytics tools, delivers actionable insights, and communicates findings to technical and non-technical audiences.

Manage a team of 2–3 analysts while remaining hands-on with SQL, dbt models, dashboards, and complex operational analyses. Lead ambiguous, cross-functional initiatives, deliver recommendations to senior stakeholders, ensure data quality, and improve reporting automation. Partner on AI analytics strategy, data readiness, agent evaluation, and human-in-the-loop governance. Responsibilities include coaching, prioritization, performance management, technical review, KPI development, and operational insights across customer experience, fraud, payments, workforce management, and VIP functions.

Conducts exploratory and defined analyses of criminal justice datasets, identifies trends and discrepancies, prepares analytical data for state product launches, and builds documented visualizations and dashboards. The analyst communicates findings to internal teams and state partners while collaborating with senior analysts and engagement teams. Responsibilities include cleaning real-world data, supporting product launches, evaluating product impact, and developing expertise in assigned states’ data, policies, and products.

Designs and maintains Power BI reports and dashboards using Microsoft Fabric semantic models. Builds data models, writes and optimizes DAX, applies security controls, validates data quality, and creates certified datasets and reusable templates. Partners with stakeholders to define reporting requirements, presents insights, participates in peer reviews, and uses AI tools to improve analysis and delivery.

Build and maintain Power BI reports and dashboards using Microsoft Fabric semantic models. Responsibilities include data modeling, DAX development and optimization, report validation, security implementation, stakeholder requirement gathering, certified dataset creation, and cross-team presentation of insights. The role also requires using AI tools, supporting self-service analytics, and collaborating on peer reviews and data-quality initiatives.

Analyzes clinical data risks and develops solutions supporting global monitoring activities within Labcorp’s healthcare and laboratory services environment.

Leads Gartner research and thought leadership on data management for AI enablement. Provides expert guidance on data platforms, governance, context-layer architectures, AI integrations, and secure enterprise infrastructure. Develops market insights, advises executive clients, delivers presentations, supports sales, reviews content, mentors analysts, and improves research processes. Requires strong research, writing, analytical, presentation, communication, business, and technical skills, with up to 25% travel.

The Senior Data Analyst develops advanced SQL analyses, maintains Tableau and Hex dashboards, validates warehouse metrics, and translates data into actionable recommendations for executives, funders, government audiences, and community partners. The role emphasizes data storytelling, reporting standards, secure PII-aware delivery, stakeholder collaboration, and business impact evaluation. It also offers growth into AI-assisted analytics, custom visualization, and data-to-report automation.

Analyze healthcare and clinical operations data to deliver actionable customer insights, physician performance reporting, care-quality dashboards, and scalable BI solutions. The role requires SQL-based data transformation, dashboard development, collaboration with clinical, product, engineering, and client-facing teams, and clear communication of findings. The analyst will also use AI tools for query generation, data cleaning, pattern recognition, and analytical summaries.

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.

Build network capacity and demand forecasts across 50 states, support clinician recruitment and retention analytics, measure clinical and scheduling outcomes, and design experiments with Product and Engineering. Develop governed data models, KPI definitions, and AI-powered analytics infrastructure. Serve as the primary analytics partner for Network leadership by translating complex, multi-source data into actionable recommendations and presenting insights to technical and executive audiences.

The Data Governance Analyst will develop data standards, conduct quality assessments, maintain documentation, collaborate with teams, and participate in training on governance practices.

Analyze customer journeys, churn, acquisition, activation, retention, attribution, experimentation, and conversion. Develop advanced models and actionable strategy recommendations for B2C Marketing. Partner with stakeholders and data engineering to define metrics, improve data quality and governance, and build scalable dashboards using modern analytics and visualization tools. Independently manage multiple complex projects and identify opportunities that support business objectives.

Provides senior-level data analysis, compliance reporting, qualitative and quantitative research, business intelligence, dashboards, and program measurement for the Personal Financial Counselor financial disclosure and conflict-of-interest program. Tracks certification, readiness, onboarding, and workforce metrics; identifies trends and risks; develops executive reports and actionable recommendations; supports audit readiness, process improvement, and cross-functional program decision-making.

Develop scalable analytics assets and serve as the Power BI/Microsoft Fabric expert. Build and publish trusted datasets, semantic models, and dashboards; author Databricks workflows and production SQL; apply R for statistical analysis; ensure governance, versioning, and reproducibility; partner with stakeholders and Data Engineering to deliver high-impact insights, define KPIs, and communicate executive-ready recommendations.

Develops scalable analytics products and workflows using Databricks, SQL, R, Power BI, and related tools. Partners with finance and revenue cycle stakeholders, builds KPIs and self-service reporting, analyzes complex datasets, validates results, and presents actionable recommendations to executives. The role requires production-level SQL, statistical and financial analysis, reproducible Git-based workflows, BI development, stakeholder leadership, and measurable business impact.

Analyze customer journeys, churn, acquisition, activation, retention, conversion, attribution, experimentation, and media mix performance. Build advanced analyses, models, metrics, and scalable dashboards that support B2C Marketing decisions. Partner with stakeholders and data engineering to improve data quality, governance, reporting adoption, and strategic outcomes while independently managing multiple complex projects.