Top Remote Data & Analytics Jobs

The Product Analyst will measure results and deliver insights on new AI products, identify opportunities, and guide product strategy through data analysis and visualization.

The Solutions Consultant will conduct product demos, assist in sales cycles, and provide evidence of product value while maintaining product knowledge and client relations.

The Sector Lead for Financial Services will oversee channel research projects, ensuring quality and relevance while guiding a team of analysts. Responsibilities include developing questionnaires, managing research workflows, and expanding coverage across financial services sectors.

Analyze revenue and growth performance, provide insights on auction behavior, measure A/B tests, define KPIs, and perform root-cause analysis.

The Director of Performance Analytics leads a team to provide insights into Auto Bodily Injury claims, leveraging analytics to enhance performance and operational efficiency.

The Data Analyst will support operational reporting and stakeholder needs, working with SQL and Artiva to meet business requirements through data and reporting solutions.

The AVP oversees strategy monitoring, ensuring effective performance reporting, KPI management, and compliance with governance frameworks, while mentoring analysts and collaborating across teams.

The Senior Consultant will lead the design and implementation of data solutions using Microsoft Fabric, Power BI, and Databricks to enhance analytics capabilities for clients. They will engage with stakeholders to define data strategies and deliver high-quality consulting services across multiple projects.

As a Senior Data Scientist, you will analyze marketing strategies through predictive modeling and data analysis, and measure the impact of marketing investments on player behavior and retention. You'll collaborate with various teams to turn data into strategic insights, drive user acquisition and retention, and continuously improve marketing data usage.

The Revenue Analytics Lead drives data analytics and modeling for revenue operations, overseeing GTM performance metrics, predictive modeling, and data governance while utilizing AI for operational efficiency.