Top Remote Data & Analytics Jobs

Supports business applications, databases, integrations, and data processes through troubleshooting, reporting, data validation, documentation, testing, requirements analysis, implementation, and user training. Extracts and analyzes data using SQL, Excel, Power BI, APIs, and SQL Server. Participates in low- to medium-complexity projects, coordinates implementation activities, and communicates with business and technology stakeholders.

Build and operate batch and streaming data pipelines, ETL/ELT workflows, data warehouses, dimensional models, and reusable data services. Improve reliability, performance, quality, and cost efficiency through monitoring, testing, automation, and incident response. Partner with analytics, data science, product, business, platform, and infrastructure teams to deliver production data solutions and roadmap initiatives. Apply AI-assisted tools responsibly to development, testing, documentation, and troubleshooting.

The Senior Data Scientist will lead data-driven projects, develop predictive models, conduct data analysis, and collaborate with stakeholders to innovate solutions in the energy sector.

Designs, develops, and maintains Workday integrations and enterprise application solutions; translates business requirements into technical designs; troubleshoots production issues; collaborates with stakeholders; ensures security and delivers solutions using Workday integration tools and web services.

Own and operate the Snowflake warehouse and Sigma semantic layer; manage ingestion (Fivetran), dbt model scoping and review, reverse-ETL, data quality SLAs, dashboards, month-end financial analytics, vendor management, and automation to support AdOps, Sales, Finance, and executive reporting.

Design, develop, test, and maintain client-facing software across web, backend, mobile, APIs, and automation. Translate business requirements into technical solutions, write clean code, participate in code reviews, troubleshoot and optimize applications, and recommend architectural improvements. Collaborate with clients and stakeholders, manage project priorities, mentor junior developers, and stay current with modern technologies.

The Senior Manager of Risk Analytics will lead credit risk strategies, manage portfolio performance, optimize decisioning frameworks, and drive business growth through analytics and predictive modeling.

Lead migration of financial data pipelines from Snowflake to AWS, design SOX-compliant dimensional models, build Medallion Architecture datasets, implement data quality, observability, CI/CD, and performance optimizations, and partner with stakeholders to deliver production-ready financial analytics at scale.

Analyze telematics, IoT, sensor, and firmware data to evaluate hardware performance, reliability, and field issues. Build dashboards and reports, identify trends and anomalies, apply statistical and machine learning techniques, validate firmware improvements, and provide actionable insights to engineering, product, data science, and customer support teams. Help develop scalable data pipelines and promote data-driven hardware and software development.

Owns the strategic direction, prioritization, and governance of an enterprise data domain. Coordinates Data Stewards, Data Custodians, business leaders, and enterprise data product teams to improve data quality, accessibility, compliance, alignment, and adoption. Leads domain working groups, prioritizes data issues and products, aligns cross-domain initiatives, translates business needs into data specifications, and escalates conflicts when necessary.