Top Remote Data Analyst Jobs in Austin, TX

Evaluate enterprise data architectures, governance frameworks, integration patterns, ownership models, and data quality practices. Design target-state architectures supporting analytics and AI, define governance operating models, assess data flows, develop quality controls, and create strategic roadmaps and executive recommendations. Collaborate with business and technology stakeholders on data modernization, cloud migration, AI enablement, and enterprise data management initiatives.

Analyze clinical data completeness, reliability, and effectiveness across healthcare facilities, vendors, interoperability networks, and integration pathways. Reconcile claims with clinical records, identify missingness and latency, report ADT coverage, evaluate data technologies, recommend vendor configurations, and prioritize facilities for direct acquisition. Partner with product, engineering, and clinical teams to improve scalable, trustworthy data pipelines and support TEFCA and QHIN strategy.

Supports healthcare EDI integrations and client implementations across eligibility, claims, enrollment, authorization, accumulator, and payment workflows. Responsibilities include requirements gathering, X12 file mapping and validation, integration testing, troubleshooting data and transmission issues, maintaining interface documentation, and coordinating clients, vendors, trading partners, developers, and internal teams. The role provides production support and manages multiple concurrent integrations remotely.

Conduct product analytics for MoneyGram’s digital money transfer products. Analyze customer behavior, product performance, experiments, feature releases, and cohort metrics to guide product strategy and growth. Build insights and reporting, collaborate with Product, Engineering, Marketing, Finance, and international teams, and improve analytics platforms, automation, and visualization processes. Translate complex findings into actionable recommendations for technical and non-technical stakeholders.

Leads actuarial financial data systems and marts, developing data solutions, extracts, reports, analyses, automations, validations, and executive reporting support. Manages data mart maintenance, audits, business requirements, technical specifications, user acceptance testing, and system implementations. Provides technical leadership, coordinates vendors and departments, trains junior staff, and advises project teams on data architecture, business rules, configuration, and financial data quality.

Supports the Product Innovation Team by modifying and optimizing SQL queries, visualizing data with BI tools, identifying insights, and analyzing enhancements. Participates in coding, testing, documentation, and discussions while providing customer service and managing multiple tasks. The internship requires at least 30 hours per week and emphasizes advanced Excel and visualization skills, plus familiarity with Python and SQL.

Lead marketing analytics across channel, campaign, cohort, and funnel performance. Build dashboards, reporting, AI-enabled analytical workflows, and data models that support marketing decisions. Conduct ad hoc analyses, evaluate attribution and incrementality, monitor data quality, and translate complex findings into executive recommendations. Partner with marketing and marketing science teams, influence strategic decisions, establish analytical standards, and mentor analysts.

Develop and maintain data pipelines, backend programs, and integrations in Azure Government Cloud. Transform and cleanse data, evolve scripts and notebooks, manage relational databases, support data quality, document technical processes, and collaborate with engineers, geospatial experts, scientists, and government clients. The role also involves project coordination, status reporting, client travel, and compliance with government background and security requirements.

Analyze complex data to support business decisions across marketing, finance, product, sales, medical affairs, and customer success. Responsibilities include defining data requirements, developing and automating data pipelines, building interactive dashboards, identifying trends and process improvements, and presenting insights to executives and external partners. The role requires advanced SQL, Python, BI, visualization, and cross-functional analytics experience, with an emphasis on using AI to improve efficiency.

Leads Gartner thought leadership and research on data management platforms, integration, architecture, operations, metadata, and AI-ready data. Develops market insights, forecasts trends, advises executive clients, supports sales, presents at conferences, reviews content, improves research processes, and mentors analysts. Requires deep data management expertise, strong research, writing, communication, analytical, presentation, and executive engagement skills, plus 15+ years of relevant experience and travel up to 25%.

Drive client growth for Circana’s Foodservice team by selling data and software solutions, managing end-to-end sales cycles, translating POS and consumer data into actionable insights, building stakeholder relationships, meeting revenue targets, and collaborating with analytics, product, and client insights teams.

Develop customer analytics that improve retention, growth, adoption, and operational performance. Build and maintain BI dashboards, customer health metrics, churn-risk reporting, and predictive models. Partner with Client Success, Product, Sales, and Operations to translate complex findings into actionable recommendations. The role also owns data quality, governance, reporting automation, workflow improvements, and stakeholder communication.

Performs data quality assurance for large datasets by validating imports, updates, transformations, and extracts. Writes SQL test queries, reviews database logic, executes test cases, identifies defects, verifies corrections, and documents testing results. Collaborates with data engineers, business analysts, project managers, and QA professionals to ensure data integrity and compliance with requirements.

Analyzes complex sustainability datasets, validates calculations and metrics through QA and UAT, maintains assessment files and customer data exports, investigates data issues using SQL, and collaborates with product, engineering, and customer-facing teams. The role also supports automation, documentation, sustainability research, and reliable environmental impact reporting.

Own monetization analytics across mobile apps and web properties, including subscription, advertising, in-app purchase, and partner-offer revenue. Build reliable datasets and pipelines, manage revenue metrics, analyze pricing and paywall experiments, model LTV and cohorts, evaluate ad monetization, reconcile revenue sources, and support forecasting and prioritization. Communicate insights to Monetization, Product, and business leaders to drive revenue growth and measurable impact.

Own user acquisition analytics across mobile apps and web properties, measuring channel performance, attribution, retention, LTV, ROAS, and payback. Build datasets, pipelines, dashboards, cohort analyses, and predictive models; reconcile MMP, ad network, and internal data; investigate anomalies and fraud; analyze funnels; design incrementality and A/B tests; and recommend budget allocation and channel strategies to the UA team.

Owns advanced mobile and web analytics for the NPR App, including complex SQL analysis of raw BigQuery, GA4, and Firebase data. Leads A/B and multivariate experimentation, translates behavioral insights into product strategy, develops reporting and self-service tools, ensures data quality, and mentors colleagues and stakeholders on SQL, analytics, experimentation, and data governance.

Conduct end-to-end analysis of complex healthcare data, including medical and pharmacy claims. Build and maintain SQL queries and analytical datasets, create visualizations, document methodologies, validate data, and translate findings into actionable business recommendations. Collaborate with analysts, data scientists, underwriters, product teams, account management, and cost-containment stakeholders to operationalize sustainable analytics solutions.

Own and maintain the data catalog, vendor and licensing records, dataset lineage, field definitions, and calculation documentation. Write SQL to trace, join, reconcile, and validate data; investigate discrepancies; QA derived metrics; prepare data extracts; and troubleshoot issues with engineering, offshore data teams, PMO, and customer service. Use AI tools to accelerate data work and maintain clear documentation for technical and non-technical stakeholders.

Provides second-level support for a Snowflake data lake, troubleshooting escalated issues, developing SQL and PL/SQL, managing Matillion ETL/ELT pipelines, optimizing data models and performance, supporting Global Trade data integration, and maintaining data quality, documentation, security, and disaster recovery practices. The role also translates requirements into technical designs and uses Jira and Confluence for Agile planning and knowledge management.

Leads analytics strategy for Zip’s emerging financial products, from market sizing and launch readiness through adoption, retention, risk, and unit economics. Partners with Product, Finance, Risk, and Operations leaders to define metrics, build scalable dbt models and reporting frameworks, analyze customer and portfolio behavior, and guide strategic decisions. Establishes SQL and analytics standards, mentors analysts, and translates complex findings into recommendations for executives.

Supports federal data integration through source-to-target mapping, data quality analysis, interoperability testing, metadata documentation, compliance validation, requirements analysis, dashboard reporting specifications, and operational documentation. The role bridges data engineering and regulatory compliance for NOAA Fisheries and endangered species data integration. It also documents remediation requirements, data refresh procedures, testing criteria, and production feedback. This is a remote position requiring U.S. citizenship and eligibility for Public Trust clearance.

Supports federal data integration for NOAA Fisheries by documenting requirements, analyzing source data structures, performing data mapping, writing user stories and acceptance criteria, facilitating stakeholder workshops, tracking approvals, developing training materials, maintaining traceability matrices, and contributing to progress reports. The role focuses on integrating marine and anadromous species data into a unified Endangered Species Act platform.

Lead data strategy and execution for emerging sectors, transforming large consumer datasets into accurate, scalable client insights. Responsibilities include resolving data-quality issues, designing workflows, maintaining sector taxonomies, partnering with product, revenue, engineering, and insights teams, and coaching analysts. The role requires hands-on analysis, production-grade data workflow development, stakeholder communication, and ownership of quality standards and methodologies in a rapidly evolving environment.

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.