Top Remote Data Analyst Jobs

Analyzes renewal opportunities and account histories, gathers pricing, product, partner, and contract data, and prepares system-derived renewal proposals. Uses Salesforce and Excel to validate information, review documents, test system enhancements, and coordinate with cross-functional teams. Manages assigned regional tasks, organizes findings, and ensures accurate, timely completion in a deadline-driven environment.

Owns fraud and market-abuse detection models, rules, and partner-facing surveillance reporting across trading data. Investigates wash trading, collusion, hedging, reverse trading, and other suspicious activity; calibrates thresholds, validates false positives, maintains data quality, and produces evidence-based findings. Requires strong SQL, cloud data warehouse experience, futures and derivatives knowledge, anomaly detection expertise, and the ability to communicate findings to partners and executives.

Build and maintain Engine X performance dashboards, reporting frameworks, data models, and complex SQL analyses using Snowflake. Track card, booking, rewards, spending, and retention metrics; investigate anomalies; support A/B tests; document metric definitions; and communicate findings to product, finance, and leadership. Collaborate with analytics and data engineering teams to validate pipelines and improve data quality.

Develop enterprise reports, dashboards, scorecards, and self-service analytics using Power BI and related BI platforms. Analyze and transform data in Snowflake and cloud environments, build ETL/ELT workflows with dbt, Alteryx, or Databricks, and ensure data quality and governance. Partner with stakeholders to translate business needs into scalable reporting solutions, identify actionable insights, improve pipelines and performance, evaluate AI-driven analytics, and mentor junior analysts.

Provides data analytics consulting for enterprise clients using Dynatrace observability, digital experience monitoring, and business analytics data. Manages client relationships, performs ad hoc analysis, creates reports and dashboards, presents findings to technical and executive audiences, configures tools, trains users, and influences product improvements. The role translates complex performance and engagement data into strategies that improve digital experiences and business outcomes.

Lead finance data governance, quality validation, reconciliation, SOX control execution, audit support, and finance-system integration initiatives. Define data standards, lineage, controls, and validation criteria across ERP, subledger, reporting, and interface environments. Partner with Accounting, Finance, Technology, and business teams on requirements, testing, cutover, defect resolution, change management, and post-production validation to ensure accurate, complete, traceable, and reliable financial data.

Short-term, paid project to export and submit personal financial data from multiple apps. Participants must provide exports from specific financial categories, create two financial artifacts, redact PII on-device using a provided tool, and follow quality and timeline requirements until Final Approval.

Develops Power BI dashboards, reports, queries, and ad-hoc analyses for supply chain operations and strategic decisions. Translates business needs and integrated data into actionable visualizations, enhances data integration and maturity, and identifies root causes through descriptive and prescriptive analytics. Collaborates with business, technology, analysts, and data scientists on agile product development, supports innovation, and helps junior team members succeed.

Analyze complex healthcare and revenue cycle data to identify trends, measure operational and financial performance, and provide actionable recommendations. Build and maintain reports, dashboards, analytical models, and structured datasets using SQL and business intelligence tools. Collaborate with cross-functional stakeholders to define requirements, validate data, document methodologies, and communicate findings to technical and executive audiences.

Lead analytics for subscription products and web funnels, partnering with Product, Marketing, and Data teams to improve conversion, retention, and LTV. Build trusted dashboards, SQL data models, event tracking structures, funnel and cohort analyses, and A/B testing insights. Monitor metrics, identify anomalies, communicate recommendations, and mentor junior and mid-level analysts while maintaining reliable reporting and data foundations.

Analyzes data from internal and external sources to identify business performance trends, root causes, and improvement opportunities. Builds dashboards, visualizations, reports, and business intelligence tools for stakeholders in the fintech space. Partners with internal teams to define data needs, communicate findings, recommend operational improvements, and support the UX/UI experience of data products.

Analyzes product performance, identifies trends and opportunities, and develops reporting solutions, dashboards, and KPI tracking systems. Builds and maintains Power BI and Qlik dashboards, validates reporting logic and data quality, performs QA testing, and documents reporting processes. Collaborates with stakeholders and cross-functional teams to define requirements, deliver insights, improve reporting efficiency, and support product decisions.

Owns 837 encounter-data file transmissions to state agencies, manages state response files, verifies transaction completeness and accuracy, and resolves errors to meet state requirements. The role requires experience with medical claims, Medicare or Medicaid, FTP and data-transfer software, and data management. Preferred qualifications include Microsoft Access, analytical discrepancy resolution, and working knowledge of 837 claims files.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Executes technical data governance, data quality, metadata management, and Collibra administration. Performs data profiling, implements quality rules, maintains metadata lineage and asset diagrams, reports on quality metrics, and supports incident root-cause analysis. Requires strong SQL, Collibra, and data quality tooling experience, with preferred API integration and cloud data environment experience.

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.

Profiles and analyzes data sources, documents end-to-end lineage, maps source data to canonical models, and supports API schema design. Develops data quality, validation, metadata, and governance documentation while collaborating with engineers, architects, clients, and stakeholders to define clear technical requirements for enterprise data products, APIs, and analytics.

Supports the Data Intelligence & Advisory team by gathering business requirements, documenting user stories, participating in Agile ceremonies, translating requirements into technical designs, exploring wireframes, supporting testing and troubleshooting, and assisting with tool deployment planning. The intern works under direct supervision while collaborating with product owners, business users, development, testing, vendors, and internal teams.

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.

Build and maintain spectrum and site databases supporting NEXRAD radar relocation analysis. Ingest, normalize, validate, and document data from multiple government and commercial sources; structure RF parameters for engineering analysis; maintain site risk classifications; prepare priority datasets; develop queries, validation checks, exports, dashboards, and recurring reports; reconcile measured and predicted interference results; and ensure CUI-compliant data lineage and documentation.

Analyzes and integrates complex datasets to produce actionable insights, reliable management reports, and data quality improvements. The role develops SQL-based analyses, monitors and configures systems, supports information systems projects, and communicates findings to technical and nontechnical stakeholders. Candidates must work independently, solve complex data challenges, and be proficient with Microsoft SQL Server, SQL Reporting Services, Excel, Access, databases, and a scripting language.

Leads advanced analytics for Tribal healthcare initiatives, including data resource inventories, quality assessment, linkage analysis, predictive and prescriptive modeling, dashboards, and management reporting. Develops data standards, quality frameworks, automation, and infrastructure strategies while ensuring federal compliance. Coordinates cross-functional analytics projects, supports healthcare quality measures, mentors junior staff, and promotes data-driven decision-making using Python, R, SQL, statistical methods, and machine learning.

Analyzes pharmacy claims, rebates, financial guarantees, and PBM contracts using SQL and large datasets. Translates contract terms into audit rules, performs validation and rebate testing, develops audit logic, prepares client-ready reports, investigates disputes, communicates findings, and supports process improvements and automation. Requires pharmacy benefits or health insurance knowledge, strong analytical skills, and the ability to explain technical findings to clients and vendors.

Develop and maintain Tableau dashboards and analytics solutions; clean and transform data using Databricks, SQL, and Python; identify automation opportunities; partner with stakeholders to translate business needs into scalable AI/analytics use cases; support client services and business development for federal clients.