Senior Analyst, Marketing Analytics
If you have stumbled upon this posting or someone helped you find your way (you're welcome), then you just might be a numbers person. Not those superficial numbers. You know, like how many cups of Verve Coffee our typical analyst drinks each day (1.8465). You like the really good stuff:
the thousands of rows of data needed to solve really complex problems. An example of which might be:
how to optimize our spend against users at different stages of their purchasing journeys. Or this:
improving the quality of our campaigns while becoming more operationally efficient. Easy.right? Our business model has a strong appetite for rich business intelligence, but it has an insatiable sweet tooth for customer engagement. And this is where you come in. Our San Francisco Marketing team seeks an experienced Senior Analyst -- an invaluable business partner -- who is excited to support future decisions that will improve marketing impact, enable faster decision making, and better coordinate efforts across channels. The work you'd do:
Own and evolve the underlying data architecture that drive our marketing efforts and performance tracking Improve our experimentation efforts and support the marketing team in executing experiments (design and analyze) Be a strategic partner to marketing leadership through leveraging data to help optimize strategy and drive top-line growth Partner with Product, Engineering, and Data Science to continuously improve our data collection methods and analytical tools Discover new ways of approaching your own day to day through appropriate levels of automation You are:
Curious. That perfect balance between skeptic and believer. Insightful. You derive context from unclear, incomplete and sometimes contradictory data. Collaborative. You figure out a way to say yeseven if it is really a no. Nimble. We move fast and our growth is impressive, and this excites you. Creative. You have a passion for telling stories with data. You stand out because you have:
4
years experience in an analytics or data scientist role (ideally with marketplace/e-commerce marketing teams) Extensive knowledge and practical experience with A/B and/or Multivariate Testing frameworks Proficiency with SQL, Google BigQuery, and Python Proficiency with BI tools such as Looker, Google Data Studio, or Periscope/Sisense Experience with ETLs and data workflow management systems, such as Airflow Experience with Google Analytics and CDP, like Segment And some bonus points if you have:
Experience with behavioral analytics and using data to drive customer-driven decision making Experience with attribution models Strong appetite and ability to learn what you don't know Our
Benefits:
Equity, in the form of Restricted Stock Units Generous parental leave programs Medical, Dental, and Vision plans - some options covered for you and your dependents at 100% 401(k) with a 5% match 20 days paid vacation per year Redbubble discounts Apple equipment And many moreask us about it About Redbubble:
Redbubble was born in 2006 in Melbourne. The dream was simple. Give independent artists a meaningful new way to sell their creations. Today, we connect over 800k artists and designers across the planet with millions of fans. As for us? We're passionate, imaginative, and a little offbeat. An inspired mix that's helped artists earn over $100M since launch. (We're also nice, well-balanced folks with lives outside of work.) We value open-minded, open-hearted teams, who reflect a diversity of experience, identity and perspective. Our differences make us smarter, and inclusive working cultures are healthy cultures. We are working hard to sustain a culture of belonging that promotes, advances and celebrates diverse identities and voices. We are committed to building a workforce that reflects the artist and customer communities that we serve.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine Learning, Business Intelligence & AnalyticsEstimated Salary: $20 to $28 per hour based on qualifications.
the thousands of rows of data needed to solve really complex problems. An example of which might be:
how to optimize our spend against users at different stages of their purchasing journeys. Or this:
improving the quality of our campaigns while becoming more operationally efficient. Easy.right? Our business model has a strong appetite for rich business intelligence, but it has an insatiable sweet tooth for customer engagement. And this is where you come in. Our San Francisco Marketing team seeks an experienced Senior Analyst -- an invaluable business partner -- who is excited to support future decisions that will improve marketing impact, enable faster decision making, and better coordinate efforts across channels. The work you'd do:
Own and evolve the underlying data architecture that drive our marketing efforts and performance tracking Improve our experimentation efforts and support the marketing team in executing experiments (design and analyze) Be a strategic partner to marketing leadership through leveraging data to help optimize strategy and drive top-line growth Partner with Product, Engineering, and Data Science to continuously improve our data collection methods and analytical tools Discover new ways of approaching your own day to day through appropriate levels of automation You are:
Curious. That perfect balance between skeptic and believer. Insightful. You derive context from unclear, incomplete and sometimes contradictory data. Collaborative. You figure out a way to say yeseven if it is really a no. Nimble. We move fast and our growth is impressive, and this excites you. Creative. You have a passion for telling stories with data. You stand out because you have:
4
years experience in an analytics or data scientist role (ideally with marketplace/e-commerce marketing teams) Extensive knowledge and practical experience with A/B and/or Multivariate Testing frameworks Proficiency with SQL, Google BigQuery, and Python Proficiency with BI tools such as Looker, Google Data Studio, or Periscope/Sisense Experience with ETLs and data workflow management systems, such as Airflow Experience with Google Analytics and CDP, like Segment And some bonus points if you have:
Experience with behavioral analytics and using data to drive customer-driven decision making Experience with attribution models Strong appetite and ability to learn what you don't know Our
Benefits:
Equity, in the form of Restricted Stock Units Generous parental leave programs Medical, Dental, and Vision plans - some options covered for you and your dependents at 100% 401(k) with a 5% match 20 days paid vacation per year Redbubble discounts Apple equipment And many moreask us about it About Redbubble:
Redbubble was born in 2006 in Melbourne. The dream was simple. Give independent artists a meaningful new way to sell their creations. Today, we connect over 800k artists and designers across the planet with millions of fans. As for us? We're passionate, imaginative, and a little offbeat. An inspired mix that's helped artists earn over $100M since launch. (We're also nice, well-balanced folks with lives outside of work.) We value open-minded, open-hearted teams, who reflect a diversity of experience, identity and perspective. Our differences make us smarter, and inclusive working cultures are healthy cultures. We are working hard to sustain a culture of belonging that promotes, advances and celebrates diverse identities and voices. We are committed to building a workforce that reflects the artist and customer communities that we serve.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine Learning, Business Intelligence & AnalyticsEstimated Salary: $20 to $28 per hour based on qualifications.
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