Statistics and Data Integrity Specialist

Statistics and Data Integrity Specialist

This job has closed but is shown for context on data science work at HowGood.
About HowGood
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.

HowGood empowers decision-makers by providing data to help them drive positive environmental and social impacts. We are looking for a statistics and data integrity specialist. The right person will be one of the gatekeepers for data in and out of HowGood’s database. This candidate will be responsible for building reports and other data outputs for clients, and clean, structure and test all imports. This person will collaborate with both the research and development team in the design and implementation of new sustainability metrics, data management processes and ongoing data import practices. The candidate will have very good communication skills, and will be comfortable participating in a fast moving, business goal driven environment.
Applicants should have an interest and excitement in integrating a huge array of different sources, and a passion for sustainability and regenerative agriculture. HowGood’s data complexity is derived from the diversity of sources and the flexibility required to integrate each data source into HowGood’s best in class decision support software. Environmental and social impact data from established international NGO’s is processed alongside pesticide usage report pdf’s at the county level, and the right candidate will be excited by the challenge and ready to creatively problem solve for effective technical solutions to collecting, cleaning, harmonizing and ingesting the information.

Looking for candidates who have:
Analytical and problem-solving skills
Ability to set and meet deadlines
Ability to work independently and with team members from different backgrounds
Technical writing skills
Excellent attention to detail
Strong written/verbal communication skills
Required Skills:
Strong mathematics skills (masters level applied statistics or comparable)
Familiarity with data management & reporting tools:
      Experience with statistical software (e.g., Stata, SPSS)
      Light coding skills in languages such as SQL, Python and/or R
      Reporting and data visualization skills using software like Kibana or Tableau
      Understanding of data warehousing and ETL techniques
Knowledge and comfort with various data wrangling (collection, cleaning, structuring, and enriching techniques)
Ability to QA and troubleshoot data
Experience with Mac OS + & Google suite
Strong proficiency in Microsoft Excel

HowGood has the world’s largest sustainability database and has recently completed the build for a new data model that allows for unprecedented flexibility in building metrics that help decision makers the world over understand the impact of their choices. Whether we are supporting NGO’s, Business leads, Product developers or individual shoppers, we help people understand the impact of their choices. Our model allows us to build metrics for measuring the impact of externalized costs faster and better than ever before. Applicants for this role should be excited to participate in creating new understandings, supporting better decision making and helping to change the world.

Competitive benefits package available, with salary ranging from $60-80k commensurate with qualifications & experience.

Please submit a resume and cover letter.

HowGood is an Equal Opportunity Employer. We seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.
This job has closed but is shown for context on data science work at HowGood.
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