Data Analyst E-Commerce Membership
Data Analyst E-Commerce Membership
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Salary Not Disclosed
1 Vacancy
Job Description
You will:
- Analyze and interpret complex data to generate insights
- Build and maintain dashboards and reports for internal stakeholders delivering clarity on metrics such as revenue membership churn and product performance
- Support predictive modeling efforts by building datasets for machine learning use cases
- Work closely with the GM of Membership & Data Science to refine the methods that generate monthly product selections for customers
- Collaborate with Product Marketing and Leadership teams to translate datadriven insights into actionable strategies
- Ensure data quality and integrity by showing immense attention to detail
The ideal candidate:
- Has a Bachelors degree in a relevant field with 12 years of experience in data analytics preferably in retail or a related field
- Is advanced in SQL (we use Postgres and BigQuery) and can write complex queries using subqueries case statements window functions with ease
- Is familiar with largescale datasets
- Has strong communication skills with an ability to translate complex data insights into clear actionable recommendations
- Has an analytical mindset with a proactive approach to solving business challenges through data
- Is resultsoriented with a strong attention to detail
- Is a collaborative team player with excellent communication and problemsolving skills
- ideally has experience with Python and Excel
Compensation benefits and perks:
- Competitive base salary
- Company equity
- Opportunity for annual bonus
- Health dental vision disability and life insurance with FSA options and access to One Medical Health Advocate Teladoc KindBody and Talkspace
- Unlimited vacation time
- 401k with nonelective company contribution of 3
- $250 per month home office allowance
- Up to $500 per year learning allowance
- Paid parental leave
- Flexible schedule
- Up to $500 annual 1:1 donation match
- A free Bespoke Post box each month plus additional discounts
- Regular team learning social and wellness events
Required Experience:
IC
Employment Type
Full-Time
