Data Analyst Intern (Summer Internship)

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The Michael J. Fox Foundation for Parkinson's Research · New York, NY

Data + Analytics
Health & Well-Being
$18 - $20 Per Hour
Posted 3 weeks ago

Redshift
Tableau
Data Science
Python
SQL
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About Us:
The Michael J. Fox Foundation for Parkinson’s Research (MJFF) was founded in 2000 with one clear objective: accelerating meaningful therapeutic advances and, ultimately, a cure for Parkinson’s disease (PD). The Foundation applies extraordinary scientific, business and media assets to this singular focus—thus creating a unique and dynamic organization. Since inception, MJFF has quickly grown into the largest nonprofit funder of Parkinson’s disease research, having funded over $2 billion in research projects in both academic and industry labs worldwide.

Core to our philosophy is how we think of our capital and its risk profile relative to other stakeholders in the drug development pipeline. We work aggressively to de-risk various therapeutic strategies and tools in the hopes of building a robust pipeline of new treatments for patients. In order to achieve our mission of finding a cure for PD it is critical that we engage with, and bring together, members of the PD community including researchers, physicians, health professionals and most important, people with Parkinson's and their families.

We believe that to find a cure for PD as quickly as possible, our capital needs to push research forward today—we therefore deliberately hold no endowment or excessive reserves. We instead seek to deploy funds raised as quickly and wisely as possible. MJFF raises over $100 million annually. Today, the Foundation has approximately 250 full-time employees. We offer a collegial and collaborative environment where optimistic problem-solvers and entrepreneurial, resourceful individuals can thrive and make a tangible difference for millions of people living with Parkinson’s disease.

Position Summary:
The Michael J. Fox Foundation (“MJFF”) is seeking a Data Analyst Intern.  The Intern will assist the Fundraising Analytics team in analyzing data, developing data pipelines and creating dashboards within our business intelligence platform. This role will deliver actionable insights to enhance our data governance practices. We are seeking a technically skilled, detailed-oriented, multi-tasking and collaborative intern with basic knowledge of analytical and data visualization tools and ability to learn in a short period of time. This role offers an exciting opportunity to hone your analytical skills while gaining a full picture of how analytics fits into the operations of the organization.

The Data Analyst Intern will be expected to have a hybrid-flex work schedule with at least part-time in the MJFF office in midtown New York City.

Primary Duties & Responsibilities:
As a Data Analyst Intern, you will be responsible for analyzing large datasets and providing data-driven recommendations to optimize business outcomes. This internship offers hands-on experience in data analysis, data pipeline development and utilization of visualization tools.

Your key responsibilities are:

  • Assist Fundraising Analytics team in designing and updating data governance dashboards to ensure effective data management practices.
  • Gain proficiency in understanding BI data structure to create data pipelines and generate reports for tracking data stack usage. Establish performance metrics to identify areas for review, cleanup and optimization.
  • Lead view analysis project to understand user behavior and provide actionable recommendations on optimizing dashboards for more engaged reporting experience.
  • Collaborate on auditing and cleaning up user access permissions for reports and dashboards within the BI system.
  • Provide support for other development data governance initiatives as needed.

Qualifications and Skills:

  • Pursuing a B.S. or M.S. degree in related field (e.g., Statistics, Data Science, Business Analytics, Mathematics, etc.).
  • Strong analytical skills with the ability to interpret and draw insights from complex datasets.
  • Highly organized and detail oriented.
  • Basic understanding of data pipeline development and data governance principles.
  • Experience with BI tools such as Tableau, Domo, or Power BI is a strong plus.
  • Experience in SQL, Python, R, Redshift, or any querying/programming language is preferred.

Ideal candidates will:

  • Be an effective team player who demonstrates positive mentality, collaborative approach to problem-solving and comfort in navigating ambiguity.
  • Embody civility, customer service, entrepreneurial thinking and work ethic.
  • Be an operational innovator with an understanding of how best to improve projects' effectiveness and efficiency.
  • Be mature, responsible, objective and even keeled with high-level EQ.

Salary:
The hourly range for this position is:

  • Undergraduate Students: $15-$18/hour
  • Graduate Students: $18-$20/hour

Vaccine Statement: 
At The Michael J. Fox Foundation (MJFF), the health and safety of our team and our community is a priority. MJFF has made the decision to require all staff receive the COVID-19 vaccine as a condition of employment. Successful applicants for this position must be fully vaccinated by date of hire and proof of vaccine is required. Full vaccination is defined as two weeks after both doses of two-dose vaccine or two weeks after a single-dose vaccine has been administered. Anyone unable to be vaccinated, because of medical or religious reasons, can request a reasonable accommodation for consideration.

How to Apply:
Interested candidates should submit a resume and thoughtful cover letter describing their specific qualifications and interest in the position. Applicants who best match the position's needs will be contacted.

MJFF is an equal opportunity employer. We strongly encourage applications from individuals who will contribute to our efforts to build and support a diverse, equitable and inclusive workforce. Diversity may refer to characteristics including, but not limited to, race, religion, ethnicity, sex, gender identity, sexual orientation, socioeconomic circumstance, geographic background, ability and disability, political ideology and age.

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