Top Remote Data Analyst Jobs

As a Principal Data Analyst, you'll leverage machine learning and AI to improve outcomes, manage large data sets, and guide analytics modelers for effective data solutions.

The BI Data Analyst III will provide insights for business decisions at Credible, focusing on the Insurance team. Responsibilities include developing dashboards, conducting data analysis, and collaborating across teams.

Support data quality by analyzing multilingual classifier outputs, refining parsers, and translating taxonomy content between English and German while maintaining accuracy in high-volume tasks.

As a Data Analyst Intern, you will assist in data collection, cleaning, analysis, and visualization to support business decisions in a remote setup.

The Data Analyst for Enterprise Safety supports reporting needs by maintaining dashboards and data tools while enhancing data integrity and user experience. They analyze trends and develop new reporting solutions, collaborating with cross-functional teams to provide actionable insights and ensure operational efficiency.

The Senior Marketing & Data Analyst will lead complex analytics projects, perform data analysis and reporting, ensure data integrity, and provide actionable insights based on market data to optimize business processes and inform decision-making.

Lead day-to-day management of multi-year data projects (Neighborhood Vitality Index, Hope Starts Here). Conduct quantitative and qualitative analysis, design and analyze surveys, coordinate with external partners and internal teams, perform stakeholder outreach and engagement, and produce accessible data products and communications for non-technical audiences to inform decision-making across Detroit-area organizations.

As a Senior Data Analyst, you'll define analytics strategies, implement data infrastructure, perform analyses, and leverage AI to enhance decision-making across the organization, focusing on personalized coaching outcomes.

Develop, maintain, and administer dashboards and reports (Tableau, Alteryx, Business Objects). Gather requirements, perform data analysis, validation, and mapping. Automate workflows, support forecasting and basic financial analyses, and deliver ad-hoc analyses and KPIs to business partners and leadership.

Support Corporate & Commercial Banking by transforming complex data into actionable insights, creating and automating reports and dashboards, ensuring data accuracy, partnering with business leaders on reporting requirements, and providing analytical support for workforce management, forecasting, scheduling, and financial reporting.

Lead design and delivery of production data platforms, pipelines, and analytics. Architect Snowflake/Databricks solutions, build ETL/streaming ingestion, implement dbt transformations, data quality, observability, and governance, support BI and AI/ML feature/data pipelines, and mentor engineers while driving DataOps and platform best practices.

Design, build, and maintain production-grade ETL/ELT pipelines and data models using dbt, Spark, and cloud platforms. Manage ingestion, data quality, observability, semantic layers, and BI outputs. Collaborate with analysts and data scientists to deliver governed, high-quality data products and implement DataOps and CI/CD practices.

The Director Analyst role involves creating research and engaging clients on Data Quality, providing actionable insights, and mentoring junior team members. They analyze market trends and support clients in improving data quality initiatives.

The role involves designing reconciliation systems for financial data, improving anomaly detection, automating processes, and collaborating cross-functionally to enhance data quality and reliability in financial operations.

The Product Data Analyst leads data collection and analysis to inform product strategy, collaborates across teams, and ensures data integrity for decision-making in product management.

The role involves transforming data into insights, conducting analysis, building data models, and collaborating with marketing teams to optimize campaigns. Strong skills in SQL, Python, and data visualizations are essential.

The Senior Finance Data Analyst leads financial analytics, reporting, and modeling, partnering with Finance leaders to drive insights and performance. Responsibilities include developing dashboards, managing data quality, and mentoring others in analytics best practices.

The Business Data Analyst supports documentation, financial tasks, and produces various reports. Requires maintaining internal documentation and coordinating special services.

Manage the end-to-end data issue lifecycle for North America: intake, triage, root cause analysis, remediation planning and execution oversight. Produce IMR reporting and dashboards, maintain audit-ready records, engage stakeholders, and improve IMR processes and tooling to strengthen data quality and controls.

Conduct client-facing analysis of POS and retail sales data to produce strategic insights. Scope research, write SQL and Python scripts to extract and analyze large datasets, create executive-ready deliverables, and serve as a power user of Bolt to improve and evaluate AI-driven analytics. Partner cross-functionally and manage client expectations throughout projects.

Translate business requirements into decisioning software logic, write and customize code, perform unit/integration testing and QA, maintain reference data and offer compatibility, troubleshoot production defects, assist with application diagnostics and post-implementation documentation, and run queries and analyses to detect and mitigate customer interaction anomalies.

Support marketing stakeholders by designing experiments, performing statistical analyses, building predictive models, and creating dashboards to optimize checking and deposits post-account opening. Deliver data-driven insights, A/B test designs and results, ROI analyses, and forecasts using Python, SQL, Excel, and Tableau. Collaborate with data scientists and marketing teams to drive personalized customer strategies.

The Senior Data Analyst will drive product insights through analyses, support A/B testing, and develop reporting to enhance product growth and user acquisition.

The role involves creating impactful HR technology research, analyzing data governance, engaging clients, and mentoring team members, focusing on AI's influence in HR.

The Senior Data Analyst will manage client-facing analytics, build dashboards, partner with Customer Success, and leverage AI tools for reporting.