Top Remote Data & Analytics Jobs

Designs and maintains BI solutions, writes optimized SQL and stored procedures, and builds AI-assisted reports and dashboards using Power BI, Tableau, and Excel. Translates business questions into actionable insights for Sales and cross-functional teams, develops data models, supports reporting migrations, and ensures data quality, governance, documentation, and consistency across platforms.

Manage operations and quality assurance for the Enterprise Data & Analytics Platform and its technology toolchain, including new capabilities and transitioning legacy systems. Support platform administration, reporting, data engineering, database constructs, visualization, stakeholder communication, presentations, problem-solving, and competing priorities. The role requires maintaining platform quality, collaborating across teams, and aligning delivery with the organization’s data and analytics strategy.

Analyze complex construction and design project data, develop datasets, pipelines, reports, dashboards, and predictive or prescriptive models. Partner with business, IT, and data governance teams to address reporting needs, improve processes, establish metrics, manage data access, support governance, and generate actionable insights for capital portfolio decisions.

Analyze market, industry, competitor, and customer intelligence for Vistex’s served industries. Assess market opportunities, monitor competitors, identify trends, develop competitor profiles, and translate complex information into actionable insights. Findings support go-to-market strategies, product roadmaps, marketing direction, competitive positioning, pipeline development, and revenue growth. The role collaborates with industry, sales, marketing, product, and pre-sales stakeholders while managing multiple projects.

Leads data strategy and analytics for the Risk/Credit team, translating complex datasets into insights for Credit, Operations, Marketing, Product, and Finance. Responsibilities include automating Python/R workflows, building Tableau dashboards, partnering with Data Engineering on Databricks workflows, conducting strategic analyses, monitoring data quality, presenting recommendations to leadership, and documenting analytical methodologies. The role requires strong SQL, cloud data warehouse, visualization, analytics programming, distributed computing, and version-control expertise.

Develop and maintain data models, semantic layers, dashboards, and Python- and SQL-based reports for claims analytics. Analyze operational performance, investigate root causes, and provide actionable recommendations to leadership. Collaborate with engineering, operations, and other stakeholders to translate source systems into standardized data models and deliver effective analytical solutions. Communicate findings through clear writing and presentations while helping shape a growing data team.

Part-time GIS interns will support indoor mapping field-collection projects in Illinois, working with GIS and project managers on technical duties and daily activities. Responsibilities include field data collection, documentation, organization, and presentation. The role requires working approximately 20–40 hours weekly from Friday through Sunday, residing in Illinois, and holding a valid U.S. driver’s license. Travel within Illinois may be required, with expenses covered.

Owns data operations supporting client reporting, campaign delivery, and month-end billing. Troubleshoots data and backend issues across Salesforce, Fivetran, Snowflake, Sigma, and partner platforms; builds workbooks, views, models, dashboards, and custom analyses; manages permissions, onboarding, data feeds, and external data delivery; resolves campaign, reporting, reconciliation, attribution, and data-quality issues; automates processes and coordinates cross-functional resolution.

Lead end-to-end analytics for client marketing and customer datasets, including data provisioning, cleaning, exploration, segmentation, forecasting, A/B testing, customer lifetime value, churn analysis, and propensity modeling. Build dashboards and visualizations, document data architecture, develop actionable recommendations, train clients, and present findings to technical and non-technical stakeholders. The role requires strong SQL and Python skills, cloud data warehouse experience, statistical analysis, and client-facing communication.

Analyzes complex business processes, data requirements, and information systems supporting the Defense Logistics Agency. Applies DoD Business Enterprise Architecture, data modeling, enterprise architecture, systems integration, and process analysis expertise to improve data quality, interoperability, modernization, and enterprise decision-making. This fully remote role requires Secret clearance and supports AMPS program initiatives.