Top Remote Data & Analytics Jobs

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.

Support design, development, and maintenance of data pipelines and infrastructure. Assist with ETL/ELT workflows, data ingestion, cleaning, validation, modeling, and warehousing. Document processes and collaborate with data teams to support analytics use cases.

Leads enterprise information architecture, business intelligence, and data warehouse strategy and delivery. Oversees BI and data warehouse teams, establishes roadmaps and governance, mentors technical staff, manages project priorities, and ensures high-quality implementation. Designs enterprise data models, datamarts, metadata, ETL processes, reporting strategies, and integration artifacts. Partners with business and technology stakeholders to align data solutions with strategic goals, improve adoption, track value, and drive continuous improvement.

Leads end-to-end data engineering and analytics platform development, including Power BI dashboards, semantic models, cloud data pipelines, governance, quality monitoring, CI/CD, and legacy workload modernization. Partners with stakeholders to define scalable solutions, validates KPIs, troubleshoots production issues, establishes engineering standards, and mentors team members.

Performs advanced product and business analytics for a consumer mobile app, including experimentation, statistical analysis, metric development, dashboards, and leadership-ready insights. Partners with Product, Engineering, Finance, Data Science, and Analytics teams to guide strategy and feature iteration. Works independently with large datasets, communicates tradeoffs clearly, and uses AI-assisted tools to improve analytical efficiency.

Manage and grow Ashby’s data analytics team while remaining hands-on with analytical work. The role includes hiring and coaching analysts, improving data practices, prioritizing requests, developing specialization, maintaining analytical quality, and guiding responsible AI adoption. The manager will work across raw and modeled data, dbt models, metric definitions, dashboards, and internal data products, partnering closely with business teams in a remote, high-growth B2B SaaS environment.

The Data Analyst develops SQL reporting and validation queries, builds Power BI dashboards, analyzes business data, and supports customer implementations involving migration, configuration, and testing. The role also maintains web platforms, troubleshoots data integrations, ensures data integrity and compliance, documents workflows, and collaborates with technical and business stakeholders to improve reporting and system performance.

Owns B2B and B2C funnel, enrollment, revenue, and marketing performance reporting. Builds executive and Board dashboards, analyzes CAC, LTV, retention, conversion, spend efficiency, and ROI, and reconciles marketing activity with financial results. Maintains KPI definitions and reporting governance while partnering with Marketing, Finance, FP&A, Sales Operations, and Data teams. Supports strategic planning, diligence requests, and actionable business recommendations through accurate, cross-functional analytics.

Provides technical leadership and hands-on development for Informatica ETL and enterprise data warehouse implementations. Designs, develops, tests, supports, and optimizes workflows, mappings, data integration processes, and dimensional models. Maintains platform health, resolves technical issues, leads releases, establishes development standards, supports data quality and governance, and collaborates with QA and business teams. Requires strong SQL, cloud, Kimball modeling, data management, and Informatica expertise, plus occasional on-call duty and travel.