Top Remote Data Analyst Jobs

Lead enterprise reporting and analytics initiatives across healthcare operations. Develop dashboards, scorecards, KPIs, data standards, analytical models, and executive insights using healthcare claims data. Reconcile data sources, identify anomalies and performance drivers, automate reporting, and translate business needs into scalable solutions. Serve as a reporting intelligence subject matter expert, collaborate with cross-functional stakeholders, influence strategic decisions, and mentor junior analysts.

Develops and maintains KPIs, dashboards, datasets, and analytical models to measure Medical Affairs impact, resource allocation, performance, and business outcomes. Sources and manages data across systems, identifies trends, supports strategic planning, partners with UI and Medical Affairs stakeholders, resolves data issues, and communicates insights. The role also provides leadership, talent development, and cross-functional collaboration within a pharmaceutical environment.

Leads advanced analytics, reporting, scalable data models, dashboards, and data pipelines supporting Business and Marketing teams. Partners with senior stakeholders and AI Engineering to implement AI and machine learning workflows, predictive insights, and automation. Develops documentation, drives analytics engineering best practices, and mentors team members. Requires strong SQL, Python, APIs, data modeling, stakeholder communication, project leadership, and blockchain expertise.

Lead complex data analysis across Liftoff’s supply-side business, using optimized SQL on large-scale datasets and BI tools to build dashboards, reporting pipelines, and actionable insights. The role conducts root-cause analysis, evaluates experiments, translates technical developments into business impact, leads cross-functional initiatives, and mentors analysts. It partners with Engineering, Product, Data Science, Finance, Commercial teams, and executive leadership to influence roadmap and operational decisions.

Owns marketing and go-to-market analytics, KPI definitions, attribution, campaign and sales-play measurement, scoring-model evaluation, dashboards, and weekly leadership reporting. The role reconciles Salesforce, HubSpot, and attribution data; partners with data teams on source-of-truth datasets; and builds AI-powered analytics agents, automated reporting, anomaly alerts, and data-quality processes to guide budget and pipeline decisions.

Analyzes and manages Medicare Advantage eligibility, utilization, and benefit data. The role validates data accuracy, supports vendor data exchanges, troubleshoots production issues, performs SQL-based ad hoc analysis, and ensures compliance with CMS and organizational standards. It collaborates with product owners, vendors, IT teams, and business stakeholders to design scalable data solutions, communicate findings, manage requirements, and drive projects to completion.

Performs data profiling, quality analysis, governance, metadata and lineage management, and Master Data Management support. Collaborates with data owners, stewards, business stakeholders, and technical teams to resolve issues and improve governance processes. Maintains glossaries, dictionaries, controls, metrics, and reports; supports enterprise data initiatives, communications, training, and stakeholder adoption. Provides guidance to less experienced analysts while applying governance standards and documenting business requirements.

Maintains and enhances product configurators using product and pricing data. Responsibilities include launching and discontinuing products, updating distributor offerings and pricing, testing system releases, protecting data integrity, identifying cross-system risks, documenting standards, supporting AI-assisted validation, leading configuration initiatives, improving processes, and coaching team members.

Leads fraud analytics strategy for digital payments, defining risk frameworks, fraud metrics, and analytical models. Partners with Product, Engineering, and Risk Operations to turn insights into scalable fraud mitigation solutions. Manages external data sources, defines requirements for production data pipelines, and establishes best practices for risk measurement and modeling. Serves as a senior thought leader influencing cross-functional stakeholders and executive decision-makers.

The HR Data Analyst develops and maintains workforce dashboards, KPIs, reports, and automated analytics solutions. They analyze employee lifecycle, engagement, retention, talent, learning, rewards, and HR operations data to identify trends and provide recommendations. The role partners with HR and business leaders, presents insights, ensures data quality and compliance, and improves reporting processes through governance, validation, automation, and data modeling.

Leads compensation analysis, market pricing, pay governance, annual compensation cycles, compliance audits, and data integrity between PayFactors and Workday. Provides executive-ready insights, develops compensation recommendations, manages cross-functional projects, maintains SOPs, supports survey submissions, and improves reporting and compensation processes. Partners with HR, Legal, and stakeholders to ensure competitive, equitable, compliant, and scalable compensation programs.

Analyzes claims data to identify trends, patterns, risks, and business opportunities. Retrieves, validates, and prepares data from multiple databases; creates reports, dashboards, visualizations, spreadsheets, and presentations; supports forecasting and reporting needs; collaborates with claims, underwriting, product, IT, and leadership teams; and communicates recommendations for business decisions and process improvements.

Build Python and SQL data pipelines, maintain data integrity, automate dashboards and reporting, and deliver actionable analytics. Develop AI- and LLM-assisted workflows for data enrichment, classification, summarization, and process automation. Support leadership decision-making, sales, customer success, and internal efficiency while communicating insights to nontechnical stakeholders. Evaluate, document, and monitor AI solutions for accuracy, cost, risk, and auditability.

Collects, validates, and analyzes operational data; develops dashboards, reports, workflow applications, and automated processes using Power BI, Tableau, and Microsoft Power Platform. Translates stakeholder needs into analytical solutions, identifies trends and data-quality issues, troubleshoots and documents deliverables, and communicates insights to technical and non-technical audiences in a consulting environment.

Analyze operational data, build and maintain Power BI dashboards, validate data quality, investigate trends and discrepancies, document reporting definitions, and communicate findings to business stakeholders. Partner with IT, data engineering, and analytics teams to resolve data issues and support reliable reporting. Use SQL, Power Query, DAX, Excel, and AI-enabled analytics tools to transform data and inform process improvements.

Supports energy and sustainability analytics for data center clients by cleaning, validating, and analyzing datasets; developing Power BI or Tableau dashboards, dataflows, and reports; documenting methodologies; performing quality checks; and delivering accurate outputs across concurrent projects. Collaborates with energy and sustainability teams, learns internal analytics platforms, and identifies opportunities to improve reporting, automation, and workflows.

Analyzes operational and financial data to identify trends, risks, and opportunities; develops forecasts, regression models, scenarios, dashboards, visualizations, and recommendations for business decision-making. Partners with business leaders to define requirements, communicates insights, and supports data governance, quality, stewardship, modeling, and privacy initiatives.

Analyzes marketing data to guide investment decisions, improve campaign performance, segment customers, support A/B testing, and identify conversion opportunities. Builds dashboards and reports, maintains metric definitions and data quality standards, investigates anomalies, and communicates actionable insights to sales, marketing, and global operations partners.

Analyze case, client, and financial data to build Power BI dashboards, executive and client reporting, recurring Excel deliverables, SQL analyses, and lightweight automations. The role investigates discrepancies, supports ad hoc business questions, documents metric definitions, and partners with operations, sales, finance, and leadership to improve reporting and reduce manual work.

Manage IT projects in lead management and marketing automation, coordinating business, IT, development, testing, deployment, and release teams. Gather requirements, create functional designs and workflows, assess solution options, mitigate risks, track delivery, and communicate project status. Partner with Marketing, Sales, architects, vendors, and geographically dispersed teams to improve customer engagement and demand-to-opportunity processes using automation, AI/ML, and Agile practices.

Owns the CX Operations data foundation in Snowflake by designing architecture, governance, data quality standards, and reusable dbt models. Leads complex analyses, dashboards, scenario planning, and executive communication while mentoring analysts and partnering with engineering and strategy teams. Supports AI enablement by creating trusted data models, evaluation standards, and agent performance tracking.

Supports a defense aviation modernization program by integrating and analyzing complex program data across cost, schedule, risk, logistics, testing, configuration management, and cybersecurity. Develops dashboards and executive reports, performs KPI and performance analysis, supports program reviews and aircraft integration efforts, tracks test results and corrective actions, and automates reporting processes. Requires extensive DoD or aerospace experience, aircraft modernization expertise, and an active Secret clearance.

Analyzes operational, engineering, logistics, reliability, maintenance, training, supply chain, and program data for a NATO SATCOM support program. Develops executive dashboards, KPIs, scorecards, predictive reports, trend analyses, and risk assessments. Maintains product support databases, validates data integrity, supports reliability and sustainment analyses, and reports on readiness, quality, cost, schedule, and lifecycle performance. Presents actionable recommendations to technical and executive stakeholders.

Analyze loyalty and retention mechanics to measure booking impact, costs, and optimization opportunities. Segment partners, design and interpret experiments, build financial and scenario models, and translate findings into actionable rules for Retention, Commercial, and Finance teams. The role also involves improving analytics workflows through automation, reusable queries, templates, and agentic coding tools.

Build and automate executive dashboards, revenue models, forecasts, financial data pipelines, and visualization tools. Maintain budgeting, variance analysis, cash flow models, audit-ready records, and database metadata. Analyze large financial datasets, verify contract billing and payment information, monitor compliance, and translate findings into strategic recommendations for finance and executive stakeholders. Collaborate with accounting, contracts, and cross-functional teams to improve reporting workflows and support business growth.