Top Remote Data & Analytics Jobs

Owns QA operational dashboards, automated reporting, SQL and Databricks data jobs, GitHub code governance, data validation, UAT, and process improvements. The role partners with Operations, Project Management, and Internal Audit teams to deliver reliable insights, maintain data lineage and compliance artifacts, and improve workflows. Requires SQL, data warehouse, BI, version control, project management, and data-processing experience.

Build and maintain cloud cost monitoring, alerting, and optimization tooling. Develop automation, cost allocation/tagging, data pipelines, dashboards, and integrations with billing APIs. Support FinOps processes, implement cost guardrails, troubleshoot cost systems, participate in on-call rotation, and collaborate with senior engineers and product teams to drive cost-efficient infrastructure and reporting.

Provides strategic analytics consulting for complex employer health plan clients. Develops client-specific insights, distills health plan performance data into actionable stories, prepares content, presents findings, manages client projects, and serves as an analytic subject matter expert. Collaborates with account management and internal teams to address customer needs, share best practices, and support solution adoption.

Analyzes complex business and operational data, develops forecasts and trends, presents recommendations, and supports strategic planning. The role translates business requirements into analyses, reports, dashboards, and scorecards while researching and implementing data-driven solutions. It requires proficiency with visualization tools, relational databases, Excel, and PowerPoint, with healthcare analytics experience preferred.

Lead migration of on-premises databases and ETL workloads to Azure and Snowflake. Design scalable data platforms using Azure Data Factory, Databricks, ADLS, Logic Apps, Blob Storage, and Python. Modernize SSIS, T-SQL, and legacy ETL solutions while developing AI-powered capabilities using LLMs, semantic search, vector databases, document intelligence, and RAG architectures. Work independently, collaborate effectively, adopt new technologies, and travel up to 10%.

Develops and governs financial data solutions for Liberty Mutual’s Finance Data Platform. Responsibilities include analyzing source data, defining transformation and downstream reporting requirements, applying metadata and lineage principles, prototyping coded solutions, testing, enabling self-service data consumption, defining business metrics, mentoring junior staff, and collaborating across finance, business, and technology teams. The role also identifies opportunities to use generative AI for data discovery, documentation, lineage summarization, prompt engineering, and code generation.

Supports enterprise decision-making through advanced analytics, reporting, data quality validation, exploratory analysis, hypothesis testing, predictive modeling, and campaign performance assessment. Collaborates with business and technology stakeholders to define data requirements, build analytical solutions, combine datasets, enforce governance standards, and deliver actionable insights. Requires independent judgment, effective communication, and the ability to manage multiple priorities and variable schedules.

Supports aftermarket aviation services by identifying and modeling business opportunities, analyzing operations, customers, competitors, and market factors, and improving data-driven tools for account management and repair center optimization. The intern will help clean, organize, model, and visualize data while supporting business lifecycle initiatives and operations optimization. The role is fully remote and includes participation in BAE Systems’ LEAP internship program.

Design and administer enterprise dashboards and reporting solutions (Tableau, Power BI, Microsoft Fabric). Translate complex business questions into compelling data stories, partner with stakeholders and BI engineers, champion visualization standards and governance, mentor analysts, and improve reporting usability and trust across the organization.

Lead revenue analytics by developing business cases, dashboards, KPI frameworks, experiments, and automated analytics solutions. Partner with client success, marketplace, merchants, and cross-functional teams to evaluate performance, guide go-to-market decisions, quantify product value, and scale data-driven execution. Serve as the analytics subject matter expert while translating structured and unstructured data into actionable recommendations and compelling stakeholder narratives.

Lead customer listening and Voice of Customer programs, including NPS, CSAT, CES, surveys, and interviews. Analyze qualitative and quantitative customer data to identify drivers, trends, pain points, and opportunities. Present insights to executives and cross-functional teams, facilitate action planning, and drive systemic customer experience improvements. Evaluate AI tools for sentiment analysis, theme extraction, and customer research while helping build a data-driven, customer-centric culture.

Lead end-to-end COGS and gross margin analysis for hardware and software products, model cost-saving scenarios, answer ambiguous executive questions, partner with data engineering/finance/product, build reliable datasets and analytical frameworks, and present recommendations to C-suite stakeholders.