Data Lead
Posted 5 days ago · 0 applicants
Saving, applying or scoring takes a few seconds to set up your free account.
The role in plain words
- 4+ years of experience as a product analyst or similar role
- SQL mastery
- Proficient in Python, R or other scripting languages
- Experience with data visualization software (Tableau, Redash, Power BI, etc.)
- University degree in a quantitative field
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceSimply's mission is to make the pursuit of creative hobbies simple and fun for all. Our top-grossing apps Simply Piano, Simply Guitar, Simply Sing, and Simply Draw put us on the fast track to building the world's largest consumer subscription service for creative learning. With over a million monthly downloads and hundreds of thousands of daily learners, we're building the AI creative companion for every home.
What Data Leads do at Simply:
We are looking for a Data Lead to own end-to-end data-driven business and product analysis. The Product Data Lead impacts all data aspects of the product (Analytics, Tests, Visualization, Data engineering, ML) within a multidisciplinary team, influencing critical products .
Who you are:
• You have product understanding and orientation
• You thrive in ambiguity
• You are excited when learning something new and applying it
• An amazing people-person and team player
• You do not shy away from accountability
What you’ve done:
• 4+ years of experience as a product analyst or any similar role - MUST
• SQL master
• Proficient in Python, R or other scripting languages
• Worked with data visualization software (Tableau, Redash, Power BI, etc.)
• University graduate in a quantitative field
• Experienced designing and evaluating experiments
• Conducted user segmentation / churn prediction / funnel optimization in a production environment
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 4+ years of experience as a product analyst or similar role, SQL mastery, Proficient in Python, R or other scripting languages, Experience with data visualization software (Tableau, Redash, Power BI, etc.), University degree in a quantitative field