Top Mobile Data & Analytics Jobs in Chicago, IL

As a Senior Analytics Engineer, you will design data models and pipelines, ensuring data integrity for reporting and analysis. Collaborate with cross-functional teams to enhance data architecture and support analytics goals using modern tools and practices.

The Senior Product Analyst will drive data analysis to improve game features, support product strategy, and provide insights through collaboration and presenting findings to stakeholders.

The Senior Finance Analytics Engineer designs dbt models, collaborates on metrics with finance teams, and enhances data for AI consumption while maintaining SOX compliance.

The Senior Analytics Engineer will architect data pipelines, maintain analytics datasets, and collaborate with stakeholders to deliver actionable insights based on complex business questions.

The People Insights Associate will analyze talent data to provide actionable insights for decision-making, manage HR analytics tools, and collaborate with teams to improve data usage and reporting.

Drive marketing performance measurement and attribution by building dashboards, standardizing campaign tracking across HubSpot and Salesforce, running funnel and cohort analyses, ensuring data integrity, and delivering executive reporting to connect marketing activity to pipeline and revenue.

The Director of Growth Strategy & Analytics will lead analytics efforts, develop strategies for consumer engagement, and improve app experiences through data insights and collaboration with teams, utilizing AI tools for automation.

The CX Automation Performance Analyst manages post-launch AI programs, ensuring ongoing performance and optimization, building dashboards, and maintaining documentation.

As a Data Analytics Manager, you will lead a team to analyze data, drive strategic insights, manage projects, and optimize mobile app performance for top brands.

The Staff Data Engineer will enhance the data ecosystem at WeightWatchers by developing data pipelines, collaborating cross-functionally, and ensuring data quality while leading projects and technical initiatives.