Data Analyst (Remote)

DataKind is looking for a 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

This range is based on DataKind's technical associate salary band, which was created using market data from NYC-based nonprofits. Actual salary within these ranges will be based on the candidate's experience and internal salary equity scan of active employee(s) with similar role and experience.

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

About DataKind

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.

Why Work with DataKind

At DataKind, we believe that people are the most important asset to delivering on our mission. Working with us means that you will have:
? Flexibility in your working schedule. More than just adjustable hours, we include shared time off and bi-weekly meeting-free days.
? Generous leave policies: Paid Parental Leave, 14 paid holidays annually and unlimited PTO! At DataKind, we encourage everyone to take a minimum of 20 vacation days a year.
? Access to an outstanding health plan. We pay 100% of medical, vision, and dental benefits for employees and 72% for spouse/domestic partner and dependent coverage.
? Support to plan for your future. We offer a 401(k) plan and match employee contributions up to 5% of the annual salary.
? Opportunities to learn and grow. Each year, we budget funds for each staff person to access ongoing professional development support.
? Wellness Reimbursement Program. Employees can be reimbursed for wellness and lifestyle purchases that are meaningful to them.
? DEI commitment. DataKind is committed to a diverse, equitable and inclusive work environment in our day-to-day work and via special initiatives driven by our DEI Steering Committee.

Encouraging Applicants of All Backgrounds

We encourage people from all backgrounds to apply, especially people of color, people with disabilities, veterans, and members of the LGBTQ+ community.

We are an equal opportunity employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, genetic information, pregnancy, or any other category/characteristics protected by law. No matter one's background, the new Vice President, Development must value and advocate for inclusion and equity.

Applicants must have a U.S.-based permanent address and be currently authorized to work in the United States on a full-time basis

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