Independent Contractor, Data Products Team

• The Independent Contractor, Data Data Products Team will join our data products team for approximately 2-3 months to support data cleaning and improve our data architecture. The role is expected to be about 20 hours per week.
  

We are a fast-growing, mission-driven, B2B company working with the world’s leading impact investors, companies, foundations and non-profits who are looking to create positive social impact.

About You:

First and foremost, you bring compassion and dedication to this work because it matters to you.

• You have strong quantitative skills, and you are looking to use them for social good. You love data and are happy to get into the details of coding and cleaning. You are a self-starter–when you identify something that needs to be done, you figure out a way to make it happen.
  
• Other characteristics that will help you succeed in this role and be a great cultural fit: you have a bias towards action—you get your hands dirty—and you actively tackle problems in ways that lead to great outcomes. You successfully balance flexibility and rigor, and embrace taking strategic risks and growing from mistakes. Ultimately, you are eager to do the work to build something new and (we hope) important to the world.
  

We also expect that most candidates will have had the following experiences / attributes. If your experience set differs, but you think you’re the right person for the job, say that in your application.

• Advanced proficiency in Excel, Python/SQL proficiency preferred
  
• Excellent analytical and problem solving skills, statistical skills preferred
  
• Experience with CAPI or CATI survey data analysis and management
  
• Strong attention to detail
  
• Robust communication and interpersonal skills
  
• Ability to work collaboratively with a team
  
• Bachelor’s degree in statistics, economics, or a related field strongly preferred
  
• Background in data analytics or data science strongly preferred
  

• The Independent Contractor, Data Data Products Team will join our data products team for approximately 2-3 months to support data cleaning and improve our data architecture. The role is expected to be about 20 hours per week.
  

We are a fast-growing, mission-driven, B2B company working with the world’s leading impact investors, companies, foundations and non-profits who are looking to create positive social impact.

About You:

First and foremost, you bring compassion and dedication to this work because it matters to you.

• You have strong quantitative skills, and you are looking to use them for social good. You love data and are happy to get into the details of coding and cleaning. You are a self-starter–when you identify something that needs to be done, you figure out a way to make it happen.
  
• Other characteristics that will help you succeed in this role and be a great cultural fit: you have a bias towards action—you get your hands dirty—and you actively tackle problems in ways that lead to great outcomes. You successfully balance flexibility and rigor, and embrace taking strategic risks and growing from mistakes. Ultimately, you are eager to do the work to build something new and (we hope) important to the world.
  

We also expect that most candidates will have had the following experiences / attributes. If your experience set differs, but you think you’re the right person for the job, say that in your application.

• Advanced proficiency in Excel, Python/SQL proficiency preferred
  
• Excellent analytical and problem solving skills, statistical skills preferred
  
• Experience with CAPI or CATI survey data analysis and management
  
• Strong attention to detail
  
• Robust communication and interpersonal skills
  
• Ability to work collaboratively with a team
  
• Bachelor’s degree in statistics, economics, or a related field strongly preferred
  
• Background in data analytics or data science strongly preferred
  

Specifically, your responsibilities will include:

• Clean up data to ensure it is accurate, standardized and usable for data products and benchmarks.
  
• Build smart filters to keep our data quality high from the get-go.
  
• Document our data processes in a way that's easy for anyone to follow.
  
• Get hands-on with data, preparing it for analysis that informs important decisions.