Data Analyst

Senior Data Analyst II

As a fast growing company, we are ingesting and generating ever increasing amounts of data. As a  Senior data analyst you will play an integral role in financial, clinical or eCommerce reporting. You will touch all aspects of the business, in order to provide clear and solid reports that put us in a good shape for a single source of truth, as well as to surface actionable insights for business improvement. Above all, you embody the Thirty Madison mission of providing access to healthcare for all who suffer from chronic conditions.

Comp | Perks | Benefits 

• The base pay range for this position is $140,000 to $192,500 per year.
• Annual Incentive Plan + Stock Option Package
• Robust and affordable Health, Dental, and Vision plan options 
• 401k with a match, commuter benefits, and FSA
• Annual $750 vacation stipend and $500 happiness stipend
• Flexible time off policy 

**Base pay offered may vary depending on job-related knowledge, skills, and experience. An annual incentive plan and stock options may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered

What you get to do every day 

• Work closely with executive stakeholders as a thought partner in scoping and planning and lead development and delivery of quality data products
• Build and iterate data products to ensure end-to-end delivery of solid reports in compliance, audit and general finance reporting
• Dissect business performance with analytical and critical mind, helping collaborators to get deep into the stories behind numbers and shed lights on actionable course of action 
• Identify data quality issues, inconsistencies, and gaps, and work with relevant teams to address them
• Develop predictive models to forecast business outcomes, customer behavior, and other relevant metrics
• Stay updated with industry trends, emerging tools, and techniques in data analysis and data science

What you bring to the role 

• BS degree and above in a quantitative major and above with stellar academic track record
• 5+ years of experience working on analytics and/or business intelligence teams
• Proficient in SQL, database management, and visualization tools e.g. Looker and Tableau. 
• Ability to write fluently in at least one scripting language e.g. Python
• Comfort in driving full cycle of engagement covering scoping, planning, execution, iteration and delivery cross-functionally 
• Solid knowledge in either financial, clinical or eCommerce reporting

Bonus points 

• Domain exposure in subscription-based business models
• Health tech background is a plus

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