Data Analyst

DataKind is looking for a values-driven data analyst who is ready to make a major impact on student graduation rates by supporting schools in implementing a data science product, the Student Success Tool, to help us deliver on our next decade of data science solutions for positive social impact. If you’re a problem-solver eager to embrace challenges as opportunities, you’re a technical translator who delights in supporting clients with data solutions, and you are a detail-oriented data analyst committed to advancing equity, we want to bring you on board! Location This is a remote position that can be based anywhere in the U.S. and requires the majority of working hours each day to fall between 8am and 6pm Eastern Standard Time. Salary Range The salary range is $89,000 - $99,000. About the Opportunity DataKind has developed a Student Success Tool (SST) to help advisors identify students that would benefit from additional support by predicting the likelihood of timely graduation, as profiled in the New York Times. We’re now working to scale this tool, based on its initial success, and we are looking for talent to help us continuously improve the data product and directly support schools in using it. Reporting to the Director, Data Science, Education, the Data Analyst will be responsible for data processing and technical onboarding to enable schools to use the SST. You’ll be translating school’s challenges into model inputs, communicating modeling results, and providing data analysis support needed for implementation. In this role, you’ll work closely with other data team members as well as our Engineering, Product, and Community teams. What You’ll Do The Data Analyst will be responsible for the following in addition to any other project assigned by the Director, Data Science: Provide direct data analysis support to schools (85%) Partner with data staff at schools in scoping how they will use and implement the SST, including strategic discussions on data handling based on their specific needs Process, clean, and format schools’ data to enable use of the SST Provide technical onboarding to schools’ data staff Leverage the data science product templates to produce exploratory data analysis, model results, and bias evaluation for schools Present modeling results and how to use and interpret the model to schools Communicate and manage expectations of schools throughout the entire process Produce documentation summarizing technical decisions and outputs for the schools supported Collaborate and contribute across DataKind (15%) Contribute improvements to the data science product based on direct experience with school data and feedback from schools Keep project management tools like Salesforce and Asana up to date with project information and progress Collaborate with the Data, Product, Engineering, and Community teams to ensure seamless integration and alignment of work Advance internal analytics reporting capabilities as needed How You’ll be Assessed At the end of their one-year term, the Data Analyst will have accomplished the following: Enabled 24 schools to use the SST, primarily schools with a standard data structure Contributed improvements to the data science product (for example, high-quality code for an additional element to add to the exploratory data analysis template and/or improvements to technical onboarding slide deck) Maintained clear documentation of schools supported in project management tools Qualifications Required Alignment with DataKind mission and values, including our commitment to anti-racism Experience working across lines of difference (culture, identity, and time zone) 1-3 years of technical work experience; at least 1 year of experience in data analysis Proficient in Python Proven track record of successfully managing full life-cycle data projects with multiple stakeholders Proven track record of (internal or external) client service orientation Comfort and skill in communicating highly technical information to semi- and non- technical audiences Self-motivated, results-driven, and persistent in the face of challenges Preferred Experience in the nonprofit sector and/or in a small startup organization Experience with DataBricks, Snowflake, or similar data intelligence platforms Experience with cloud computing (Azure, GCP, and/or AWS) Experience with databases (SQL, Postgres, PySpark, and/or other data query languages) Experience in scaling data products, handling data quality and volume Track record of strong client-facing presentation skills Track record of strong technical writing for a variety of audiences.

DataKind is a global organization based in the U.S., with volunteer chapters in San Francisco; Washington, DC; London, UK; Bengaluru (Bangalore), India; and Singapore. With a vibrant network of more than 30,000 supporters and volunteers around the world, DataKind engages on a wide variety of issues, continually bringing the benefits of data science to new communities. From hackathon-style events to years-long capacity-building engagements, DataKind builds new tools to address old and intractable problems, and brings data scientists into the Data-for-Good movement by showing them how valuable their skills can be. Our projects range from increasing speed and efficiency of food aid distribution to building fairer systems to establish credit worthiness, DataKind works to close the gap between what data science can provide, and who has access to it.