Data Analyst
Growth-oriented data analyst embedded with marketing to synthesize channel performance, own KPI reporting, and drive real-time budget and experiment decisions from messy data.
Build data pipelines, backend services, and dashboards for product insights, billing, and user targeting on Glean's AI platform. Requires 5+ years experience with backend languages like Golang/Python, SQL, and analytics systems.
The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
Growth-oriented data analyst embedded with marketing to synthesize channel performance, own KPI reporting, and drive real-time budget and experiment decisions from messy data.
Insights Analyst driving analytics, experimentation, and AI automation improvements for Chime’s Trust & Safety, Fraud, and Dispute Operations teams. Requires 5+ years analytics experience, advanced SQL, Python/R, and strong statistical skills.
Designs and executes ROI studies using claims data and econometric methods to prove cost savings of digital MSK solutions. Analyzes large healthcare datasets with SQL/Python/R and presents findings to clients and stakeholders. Requires master's/PhD and 3-5 years experience.
Analyzes GTM data across sales, pipeline, and operations to drive strategy, growth levers, and performance insights. Partners with leadership using SQL, BI tools, and Salesforce to deliver dashboards and recommendations. Requires 5+ years in analytics.
Analyzes operational, product, and financial data to identify trends, build dashboards, and support cross-functional teams in optimizing fintech processes like fraud, risk, and rewards. Requires 3-7 years experience with SQL, Python, AI tools, and dashboarding.