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Data Analyst

USAFull-Time$70K - $80K
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HowGood is an independent research company with the world’s largest database on product sustainability. With more than 33,000 ingredients, chemicals, and materials assessed, HowGood SaaS and impact data offerings help leading brands, retailers and investors improve their environmental and social impact. Through in-depth, ingredient-level insights into factors ranging from greenhouse gas emissions to animal welfare to labor risk, HowGood data powers strategic decision-making for the sourcing, manufacturing, merchandising, and marketing of sustainable products.

The Research Data Team

The data team at HowGood plays a central role in helping our customers decarbonize their supply chains across the food and beverage industry. Carbon accounting and carbon reduction is a critical focus for HowGood, but not our sole focus. We take a holistic look across environmental and social impacts. Our data team’s work is what allows our customers to understand their impacts and enables them to do the hard work of transforming their supply chains. 

Our data team is responsible for wrangling and ingesting customer data, and mapping it to our extensive database of ingredients, crops and locations. ETL is a core part of the job. The team also peer reviews teammates’ functions, scripts and outputs; designs and produces custom reports for customers; and contributes to process improvements big and small such as automating scripted processes, systematizing data ingestion steps using data tooling, and data science projects that solve tricky problems. The data team collaborates with the rest of Research and the Customer Success and Engineering teams. We seek a candidate who has the right technical chops, good communication skills, and comfort participating in a fast moving, business goal driven environment.

Applicants should have an interest and excitement in integrating different data structures and formats, improving and standardizing processes, and a passion for sustainability and regenerative agriculture. HowGood’s data complexity is derived from our database structure and the variety of sources we use. A core part of HowGood’s strength is in the data team, including the flexibility required to map customer data to our database so our customers can see and understand the impacts their products are having on carbon, water, biodiversity, working conditions, and more. The right candidate will be excited by the challenge and ready to creatively contribute solutions.


  • A minimum of 2 years of relevant data work experience after graduation
  • Experience and comfort working on a remote team
  • Analytical and problem-solving skills
  • Ability to reprioritize as needed and meet deadlines
  • Ability to work independently and in collaboration with different teams
  • Clear judgment based on priorities and context
  • Attention to the right details
  • Ability to overlap East coast hours

Required Skills:

  • Strong mathematics skills (Masters level applied statistics preferred)
  • Proficiency in Python, SQL, and spreadsheets
  • High degree of comfort with data management, ETL techniques, and data ingestion 
  • Experience with QA/QC testing and data troubleshooting 
  • AWS Glue, Step, S3, Admin, or similar data tooling experience a plus
  • Classification, NLP, statistical machine learning modeling experience a plus
  • Experience with Python Regex library a plus
  • Experience with Pyspark a plus
  • Experience with Mac OS and Google suite

Why work at HowGood?

  • Salary range $70,000-$80,000
  • Health insurance + Vision & Dental
  • 401k with company match
  • Unlimited PTO (that we actually want you to use!)
  • Paid parental leave
  • Work remotely, or from our upstate NY or Brooklyn offices, or hybrid

This is an exciting time for HowGood and its Research team. We have momentum to help our growing list of customers change the food system to a more transparent, sustainable and ultimately regenerative one. It’s fast paced work and the team is a lot of fun!Applicants for this role should be excited to participate in creating new understandings, supporting better decision making and helping to change the food system.

This is a US-based role. Applications without a cover letter won’t be considered.

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