Data Analyst

Posted 6 days agoViewed

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💎 Seniority level: Middle, 3-5 years

📍 Location: United States

💸 Salary: 126650.0 - 149000.0 USD per year

🔍 Industry: Healthcare

🗣️ Languages: English

⏳ Experience: 3-5 years

🪄 Skills: PythonSQLBusiness IntelligenceData AnalysisSnowflakeData engineeringCommunication SkillsAnalytical SkillsMicrosoft ExcelData visualizationData modelingData analytics

Requirements:

3-5 years of full-time experience using data to surfacing key insights and recommendations from data, solving real world problems, and supporting decision making within growth, product, revenue, or operations teams
You are adept at building relationships with the people you work with
Proficient in SQL, developing and documenting data models, and experience managing a modern BI tool like Metabase or Looker
Willingness to “do the dishes” - no task is below you, and you’re willing to do what’s needed and leverage different skill-sets to make partner teams and the overall business successful.
Inherent curiosity and analytical follow-through - you can’t help but ask “why?” and love using data and logic to explore potential solutions
A self-starter mentality with the ability to prioritize, meet deadlines, and identify opportunities with limited oversight
You are motivated by our mission. We are working to solve the biggest problems in mental health care today (access and affordability.

Responsibilities:

Become a trusted strategic partner to our operations and business teams (growth, revenue, and customer success), and work with them to define analytics requirements, identify important questions, and help answer them with data.
Support the operational needs of business stakeholders by delivering high-quality output from data modeling and reverse ETL.
Collaborate with Data and Product Analysts, Data Engineers, Data Scientists, and stakeholders across the company to model data in a scalable way and present it in an impactful and digestible way that leads to better business decisions.
Tell compelling stories through data, articulating technical information to a non-technical audience

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