Top Remote Data Analyst Jobs

Owns analytics for BILL’s payments products, setting the measurement agenda, defining KPIs and OKRs, building production-grade dbt models, and conducting experimentation and causal inference. Partners with Product, Engineering, Finance, Marketing, and leadership to identify opportunities, improve data quality, automate reporting, and influence roadmap decisions. Presents executive insights and defends metric definitions and recommendations.

Processes client-requested data changes, creates data transfer packages, and writes SQL queries against Microsoft SQL databases. Conducts risk assessments, verifies data updates and transfer datasets, creates stored procedures, monitors data across databases, and supports clinical study implementation. Requires strong attention to detail, documentation, communication, prioritization, and occasional after-hours technical support.

The Data Integrity Analyst develops expertise in the EPIC system and bridges end users with EPIC implementation staff. Responsibilities include planning health information content, structuring and editing health record documentation, supporting clinical documentation, and ensuring data integrity. The role is remote but limited to residents of Kentucky or Indiana.

Analyzes commercial, operational, market, and customer data to identify trends, risks, and opportunities. Develops dashboards, reporting templates, visualizations, and actionable insights for sales, marketing, finance, contracting, and leadership teams. Supports forecasting, segmentation, promotional evaluation, data governance, process improvements, UAT, system enhancements, strategic initiatives, and ad hoc modeling. Communicates findings to technical and non-technical stakeholders and documents analytical methodologies.

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.

Leads complex data analysis and business intelligence initiatives supporting revenue forecasting, profitability, operational planning, and business performance. Builds analytical models, queries, dashboards, reports, and data workflows using SQL and Python. Resolves data-quality issues, improves processes, communicates actionable insights, and coordinates with business and technical teams. Mentors analysts, reviews analytical work, and provides technical guidance on data visualization and analytical methods.

Own supplier data quality through profiling, sampling, source linking, issue quantification, and quality monitoring. Partner with data engineering, product, and cross-functional teams to translate findings into technical improvements and prioritize opportunities. Build dashboards and reports to communicate data health, support automated quality gates, and apply customer insights to data and product improvements.

Manage centralized program documentation, configuration and change control, release processes, metadata standards, and secure data distribution for a DoD hypersonics program. Configure JIRA and Confluence workflows, dashboards, boards, and reporting; track actions, risks, issues, and decisions; prepare status metrics; and support geographically dispersed engineering stakeholders. Ensure compliance with DoD data-management and security requirements, including CUI and FOUO handling.

Own company-wide analytics covering growth, conversion, care utilization, clinical outcomes, retention, and operational performance. Build executive dashboards, define consistent metrics, transform operational data into analysis-ready datasets, monitor data quality, troubleshoot pipelines, and develop the analytics roadmap. Partner with leadership and engineering to deliver complex SQL and Python analyses, strategic insights, and trusted reporting while advancing AI-enabled workflows.

Maintain investment data integrity through validation controls, data quality improvements, transaction implementations, analytics tool support, and process automation. Investigate data issues, identify root causes, recommend resolutions, and support migration to an investment data warehouse. Collaborate with investment teams, IT, Accounting, and other corporate partners while maintaining procedures and supporting concurrent projects. The role requires fixed-income investment knowledge and experience with Bloomberg, BlackRock Aladdin, Excel, Power BI, SQL, Snowflake, and Python.

Supports data and information privacy activities within a healthcare revenue cycle technology organization. The posting provides limited role-specific responsibilities or qualifications, but the position likely contributes to privacy compliance, data protection, and risk management initiatives.

Researches, reconciles, and resolves complex Navy financial transactions, including unmatched disbursements, aged payables and receivables, and dormant undelivered orders. The analyst traces transactions across NERP, WAWF, PIEE EDA, and DCAS, identifies root causes, prepares correction packages, supports budget execution and audit readiness, maintains documentation, and recommends controls and corrective actions across Navy organizations.

Analyze transaction and financial data, build stakeholder dashboards and reports, support compliance and regulatory reporting, and collaborate with data teams to maintain data quality for payment operations and decision-making.

Analyzes Link 16 and VMF data from tactical data link test events, verifies compliance with military standards, develops test plans and reports, performs root cause and performance analyses, and provides technical recommendations. The role uses specialized modeling and data analysis tools, supports scenario and mission-thread development, and collaborates with technical teams. It is based at Camp Pendleton, requires a Top Secret clearance, and involves 15%–25% travel within and outside the continental United States.

Staff Data Analyst leading complex, cross-functional analytics initiatives and executive-level decision support. Responsibilities include defining metrics, building scalable data models and infrastructure with dbt, ensuring data quality and governance, developing analytical roadmaps, mentoring analysts, improving data literacy, and advising Sales, Marketing, Finance, and Operations stakeholders.

Analyze and model marketing, product, and loan application data to optimize the borrower funnel and drive growth. Build BigQuery datasets, dbt models, and Tableau dashboards; evaluate customer behavior, acquisition costs, approval rates, and origination performance. Partner with Product, Marketing, and Engineering on A/B tests, statistical analysis, and actionable insights for leaders. Apply lending and fintech knowledge to improve conversion, customer value, and portfolio outcomes.

Analyzes pharmacy benefit management claims, application engagement, and clinical program effectiveness. Develops advanced analytics, reporting frameworks, automated data tools, and scalable data processes; investigates reporting variances; and delivers insights to clients and internal stakeholders. The role also supports strategic decision-making, gathers requirements, identifies analytic product opportunities, and mentors junior analysts.

Ensures data across Snowflake platforms, ingestion pipelines, dynamic tables, and client reports is accurate, complete, timely, and trustworthy. Defines quality rules, monitors observability alerts, investigates anomalies, reconciles metrics, validates pipelines and onboarding data, maintains data documentation, and builds quality dashboards. Partners with engineering, product, customer success, and metric owners to resolve root causes, improve data contracts, and support compliance, audit, PII, PCI, and governance requirements.

Serves as the liaison between business stakeholders and ServiceNow developers, gathering requirements and mapping business processes to workflows. The role supports dashboards, KPIs, performance analytics, data validation, cleansing, transformation, testing, UAT, documentation, data governance, compliance, training, and process optimization. It develops user stories, acceptance criteria, and test scripts while helping federal agencies improve ServiceNow reporting, workflow automation, and operational performance.

Leads healthcare quality analytics using hospital performance, national rankings, Medicare claims, and CMS data. Replicates quality methodologies, identifies improvement opportunities, builds dashboards and benchmarking tools, and establishes analytic validation standards. Presents insights to executives and customers, supports pre-sales and engagements, partners with data scientists and consultants, and mentors analysts.

Develop Power BI reports, dashboards, dimensional data models, and optimized reporting solutions. Extract and transform data using SQL, DAX, and M, while gathering business requirements and supporting data collection processes. The role also requires C#/.NET microservice development, SQL Server engineering, Docker and Kubernetes familiarity, GitHub Actions CI/CD, production troubleshooting, and application support. Experience with Power Platform, React, APIs, automated testing, cloud platforms, and construction or semiconductor construction is valuable.

Develops customer-facing reports and dashboards using regulatory intelligence data. Translates customer requests into scoped queries, extracts and validates data, builds visualizations and executive reports, performs QA, and manages delivery. The role requires interpreting FDA enforcement actions, Form 483 observations, warning letters, and inspection records while ensuring accurate, polished outputs. It also involves using BI tools, SQL, and AI-assisted workflows to support data exploration and reporting.

Analyze corrections and parole administrative data using SQL and Python, model policy scenarios, quantify tradeoffs, and communicate findings to criminal justice decision-makers. The role owns analytical projects end to end, from scoping and strategy through modeling, stakeholder materials, and implementation support. Analysts collaborate with state partners, identify opportunities for further analysis, and develop reusable analytical frameworks to influence policy reforms.

Analyze transaction, merchant, and portfolio data to detect credit, fraud, and operational risks. Build dashboards, reports, models, and automated workflows using SQL, Snowflake, Tableau, and related tools. Support underwriting improvements, chargeback and dispute remediation, portfolio segmentation, regulatory requests, and audit documentation. Collaborate with product, engineering, compliance, fraud operations, and data teams, and present actionable findings to management.

Develops scalable analytics, dashboards, reporting, datasets, and decision-support solutions for Hub leadership. Translates ambiguous business questions into analytical approaches, KPIs, and actionable recommendations using SQL, Power BI, and Databricks. Supports data governance, stewardship, quality, definitions, documentation, and trusted data assets while partnering with Technology and business stakeholders to build future analytics capabilities.