Top Remote Data & Analytics Jobs

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

Analyze complex content, datasets, research questions, and logical problems; verify claims through online research; summarize information; evaluate and correct AI-generated responses; and create annotations and scenarios to improve large language model performance. The role is fully remote, full-time for 16 weeks, requires U.S. English fluency, independent work, strong analytical and research skills, and an existing Gemini account with relevant conversation history.

Build and maintain ETL/ELT pipelines, ingest and transform structured and unstructured data, integrate APIs and external sources, improve data quality and monitoring, support dashboards and ML pipelines, optimize warehouse and cloud performance, and contribute to data governance and documentation.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Analyzes personal lines insurance and digital product performance using SQL, BI tools, statistical methods, and financial modeling. Partners with product, experience, actuarial, finance, and operations teams to identify growth opportunities, optimize digital customer experiences, assess risks, support business cases, and influence leadership decisions. Applies AI and automation to improve analytical efficiency, communicates insights through presentations and reports, and mentors colleagues.

Owns Luna’s business intelligence, reporting, data architecture, automation, and AI capabilities. The role builds trusted dashboards and metrics, automates Salesforce and NetSuite reporting, establishes data governance, supports forecasting, commissions, procurement, and executive reporting, and develops AI-enabled workflows. It also maintains production data pipelines and integrations, improves documentation and controls, and mentors teams in analytics best practices.

Leads complex private banking data management and analytics initiatives, defining data strategies, quality standards, product attributes, and integrated client views. Partners with business, engineering, analytics, AI, and Wealth teams to translate needs into dashboards, KPIs, predictive models, personalized insights, and intelligent decision-making capabilities. Serves as a subject matter expert on private banking products while mentoring junior team members and enabling platform readiness.

Leads Citizens’ enterprise semantic analytics strategy and AtScale-based semantic layer operating model. Establishes governed, auditable processes for requirements, metric definitions, modeling, validation, certification, deployment, and change management. Oversees BI platform strategy across Power BI, Tableau, Alteryx, and WebFOCUS, while driving natural language query capabilities, business adoption, partner delivery, executive governance, and distributed team leadership.

Analyzes branch, regional, and national performance data to identify trends, root causes, and opportunities that improve sales effectiveness, conversion, product penetration, and productivity. Develops dashboards, executive reporting, KPIs, and data stories; evaluates initiatives and campaigns; ensures data integrity; and partners with sales, product, field execution, and analytics teams to deliver actionable recommendations and support business decisions.

Supports DHA MEPRS cost-accounting activities through recurring data processing, validation, reconciliation, analysis, reporting, and customer support. Extracts and analyzes personnel, workload, financial, and other datasets using SAS, Excel, and reporting repositories. Investigates data-quality issues, troubleshoots root causes, documents findings, develops recurring and ad hoc analytical products, communicates results, and improves or automates processes.

Develops enterprise Tableau dashboards, executive scorecards, and KPI reporting using advanced SQL and business intelligence techniques. Analyzes financial, operational, lending, and member data; performs forecasting, statistical analysis, data validation, and root cause analysis. Partners with executives and stakeholders to translate business needs into scalable reporting solutions, communicates actionable insights, supports data governance, and mentors junior analysts.

Analyze customer journeys, churn, acquisition, activation, retention, conversion, attribution, experimentation, and media mix performance. Build advanced analyses, models, metrics, and scalable dashboards that support B2C Marketing decisions. Partner with stakeholders and data engineering to improve data quality, governance, reporting adoption, and strategic outcomes while independently managing multiple complex projects.

Design, build, and maintain scalable data pipelines, data lakes, and databases; ingest and map customer financial datasets; monitor pipeline reliability; translate business requirements into data flows and analytical insights to ensure high-quality, usable data.