Maven is looking for an enthusiastic, experienced Data Analyst to help architect analytical frameworks and make data-driven decisions as our business expands. The Data Analyst will work closely with our Growth Operations, Client Success, Marketing, and Finance teams to provide analytical and operational frameworks. By contributing to the architecture and analysis of the data generated by our business, identifying areas of opportunity for specific business areas or stakeholder groups, and uncovering broader trends in our platform-wide dataset, the Data Analyst will drive efficiency and performance across the company.

As a Data Analyst at Maven, you will: 

• Work with stakeholders on the Growth Operations, Client Success, Marketing and Finance teams to provide analytical and operational frameworks as well as data models to evaluate and optimize process efficiencies 
• Partner with stakeholders and engineers to develop and maintain relevant data pipelines, ensuring efficient monitoring and measurement of critical business metrics 
• Extract and transform data from all Maven data sources, both internal and 3rd party, using a variety of technical languages (primarily SQL, Jinja and Python)
• Visualize results of analyses to translate and disseminate findings across Maven business teams
• Monitor business-focused KPIs and general business health, proactively flagging and investigating any irregularities
• Explore new ways to help our team and our company scale, such as adopting new packages or softwares, making internal tool improvements, or introducing new technical languages

We’re looking for you to bring: 

• 3-5 years of business analytics experience and a background in SQL and data visualization
• Experience designing, building and maintaining data pipelines alongside a data engineering team
• A bachelor’s degree from a top university with a focus on a quantitative fields such as: Math, Physics, Statistics, Economics, Computer Science
• A passion for dissecting and reconstructing complex issues with a data-driven approach
• A technical bent and the ability to use data and tools to answer your own questions
• An interest in juggling both long-term, strategic projects and ad hoc, urgent requests as needed
• The ability to communicate well across all departments with team members of varying technical abilities

Helpful experiences and skills (if you don’t have them, you can learn them with us!): 

• Experience with data visualization software (Looker a plus)
• Proficiency in a technical or coding language (Python, R, HTML)
• Experience with financial modeling and/or statistics
• Background in a healthcare-related field