POSITION IS REMOTE (NORTH AMERICA; USA OR CANADA)

Maximus (https://www.maximustribe.com/) is a mission-driven consumer health company that provides men with content, community, and clinical support to optimize them in mind and body. Maximus has raised $15M from top Silicon Valley VCs such as Founders Fund and 8VC as well as leading angel investors/operators from companies like Bulletproof, Tinder, Coinbase, Daily Stoic, & Shopify.
Maximus is looking for a Senior Data Analyst to join our growing team!
Please note: Culture is key at Maximus, so we get to know candidates holistically through our questionnaire. You will receive an invite in a separate email upon submitting an application. Please fill it out as honestly and intuitively as possible since it is designed to detect exaggeration, which will cause your application to be automatically rejected. The questionnaire is optional to submit now with your application, but candidates that do so will get strongly prioritized. It will be mandatory after any initial conversations have taken place. Note, we do not have access to individual questions’ answers/choices.

EXPERIENCE:

• 5+ years of experience in data analysis, business intelligence, or a related field.
• Strong proficiency in SQL, dbt, and Python for data manipulation, analysis, and visualization.
• Experience with BigQuery and BI tools such as Looker or Metabase.
• Solid understanding of statistical concepts and their application in data analysis.
• Experience in healthcare, e-commerce, and digital marketing analytics is highly desirable.
• Proven track record of translating complex data into actionable insights for non-technical stakeholders.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, both written and verbal.
• Bachelor’s degree in Statistics, Computer Science, Mathematics, or a related field. Advanced degree is a plus.

• Analyze and interpret complex data sets to provide actionable insights to various stakeholders across the organization, including business, healthcare, e-commerce, and marketing metrics.
• Develop and maintain dashboards and reports using BI tools like Looker or Metabase to effectively communicate data-driven insights.
• Collaborate closely with Product, Marketing, Finance, and Operations to understand their data needs and provide the required insights.
• Design and implement data models and database structures to support efficient data analysis and reporting.
• Identify trends, patterns, and anomalies in data to support strategic decision-making and business growth.
• Develop and maintain documentation for data processes, methodologies, and analyses.
• Contribute to the continuous improvement of data quality, data governance, and analytical processes.
• Participate in cross-functional projects, particularly those involving healthcare data around telemedicine visits and health diagnostics like blood testing.
• Proactively identify opportunities for data-driven improvements across the business.