Top Remote Data Analyst Jobs

Manages supplemental healthcare data sources supporting HEDIS and quality improvement programs. Responsibilities include validating data, monitoring file loads and efficacy, reconciling sources, developing reports and dashboards, researching data issues, translating requirements into technical specifications, maintaining audit documentation, supporting audits, and coordinating cross-functional data improvements. The role also serves as an audit liaison and manages projects, reporting schedules, crosswalks, and data processing tools.

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

Lead data strategy and analytics for Compliance and AML, develop ETL and validations, quantify regulatory risk, communicate insights to stakeholders and regulators, and drive cross-functional compliance initiatives.

Support Finance and Sales by reconciling and validating revenue KPIs (ACV, ARR, renewals), building reporting datasets and dashboards, collaborating with CRM and data engineering teams, and participating in month-end and quarter-end close activities. Provide ad-hoc analysis and stakeholder-facing explanations of metric derivation and data quality.

Lead data strategy and analytics for Compliance, focusing on Financial Crimes/AML. Drive ETL, source validation, and analyses to quantify compliance risk, support regulatory engagements, and influence product and compliance roadmaps. Communicate insights through visualization and cross-functional collaboration while leading multiple high-impact workstreams.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

Lead data analyst responsible for advanced analytics, real-time performance dashboards, network capacity modeling, and generating actionable insights for third-party service providers. Drives testing and pilots, analyzes stakeholder feedback, and serves as an internal analytics subject-matter expert to inform network strategy and operational improvements.

The Data Analyst will generate client reporting using Python and SQL, maintain reporting scripts, conduct quality checks, and enhance data quality for performance analysis.

Design and build scalable data solutions for high-volume transaction streams. Partner with product and business teams to deliver analytics, dashboards, and insights. Lead data strategy, architecture, governance, quality, lineage, and access controls. Enable self-service capabilities and explore new open-source technologies to support business intelligence and operational needs.

The role involves improving transaction monitoring rules, analyzing risk patterns, and building dashboards for compliance while collaborating with investigations and compliance leadership.

The Senior Data Analyst gathers BI requirements, analyzes enterprise and offline datasets, writes and optimizes SQL queries, and builds dashboards using Power BI, Tableau, and Domo. The role translates business needs into technical specifications, designs dashboard wireframes, validates data, documents processes, and collaborates with engineering, product, and business teams. Knowledge of the US trust business is essential for interpreting data within financial and regulatory contexts.

Analyze sales, marketing, and customer success performance, including pipeline, funnel conversion, campaigns, retention, and revenue drivers. Build and maintain dbt models and marts using Salesforce and modern data-stack tools, while owning data quality and documentation. Contribute to Lighthouse, a BI-as-code platform, and develop AI-assisted analytics workflows. Partner with stakeholders to frame ambiguous questions, deliver recommendations, and communicate progress in two-week sprints.

Analyze large healthcare datasets and develop complex SQL queries using Azure Synapse/Databricks. Build Power BI reports, produce monthly reconciliations and ad-hoc analyses in Excel/PowerPoint, support payments to value-based specialists, evaluate and expand value-based programs, automate processes with Power Automate/Power Apps, and communicate findings to senior leadership while spearheading new technologies.

Analyze semiconductor materials pricing data, identify market trends, validate and standardize information, monitor data quality, investigate discrepancies, document analyses, and support data pipeline and ETL optimization. The role also involves communicating findings, improving data hygiene, and collaborating cross-functionally while learning new analytical tools and best practices.

Collects, validates, analyzes, and transforms perioperative, financial, and statistical data for recurring and ad hoc reports. Develops and maintains databases, spreadsheets, dashboards, and block-utilization analyses; identifies trends and recommends operational improvements. Collaborates with administration, physicians, Information Services, and Analytics teams, presents findings, supports reporting methodologies, and manages assigned surgery system updates.

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.

The Data Analyst gathers and documents data requirements, queries and analyzes data, validates reporting outputs, and supports KPI tracking. The role researches data sources, assists with ETL and enterprise data warehouse integration, maintains data dictionaries and lineage documentation, identifies quality issues, and delivers reports and insights to stakeholders. Additional responsibilities include supporting data governance, PII controls, master data management, reporting automation, and cross-functional solution design.

Analyze workforce data and develop HR dashboards, scorecards, KPIs, visualizations, and automated reporting solutions. Identify trends across the employee lifecycle, evaluate engagement and employee programs, ensure data quality and compliance, and provide actionable recommendations to HR and business leaders. The role also supports employee listening strategies, reporting process improvement, data governance, and executive-level presentations.

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.

Provides data analytics and business intelligence support for government customers. Responsibilities include gathering requirements, analyzing and transforming enterprise data, designing data models, developing dashboards and visualizations, documenting governance processes, improving workflows, and training users. The role requires government acquisition, finance, or financial management experience, preferably within DoD or Air Force systems, and supports financial office operations.

Design, implement, and validate data mapping, transformation, and integration solutions for payment integrity. Investigate and resolve complex data quality issues, create mapping specs and documentation, partner with stakeholders, and mentor analysts to improve data quality and automation.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Lead analytics and data science for long-term care insurance claims: analyze healthcare and claims data, build predictive models, perform EDA, prototype solutions, collaborate with stakeholders, and translate insights into business recommendations to improve reporting and decision-making.

Supports a large-scale government data migration from planning through conversion and validation. Analyzes source and target systems, develops conversion scripts, supports API integration, defines data mappings and transformations, and produces stakeholder-ready documentation. Provides recommendations on migration approach and data quality, collaborates with technical and business teams, and validates migrated data for completeness and accuracy. The role is remote within the United States and requires Public Trust or MBI suitability eligibility.

Analyze large-scale transactional, operational, and customer datasets; build visualizations, machine learning models, and experiments; translate complex findings into clear recommendations for operational teams and executives; and apply analytical software, databases, visualization tools, and programming languages in a fast-paced blockchain environment.