Internship, Data Analytics

Description

OVERALL POSITION DESCRIPTION:   World Food Program, USA is looking to add a Data Analytics Intern to their team. Consistent with the mission of the United Nations World Food Programme, World Food Program USA works with U.S. policymakers, corporations, foundations, and individuals to help provide financial and in-kind resources and develop policies needed to alleviate global hunger. WFP USA is the recognized leader in America’s pursuit to end global hunger, inspiring individuals, businesses and policymakers to do everything in their power to create a zero-hunger world.

The Data Analytics Intern will assist the Senior Data & Reporting Analyst with the deployment of internal reports and interactive data-driven dashboards depicting organization-wide key performance indicators (KPIs). The intern must be able to understand complex business requirements and think creatively about the most effective ways of cleaning, formatting, visualizing, and presenting data.

What’s Attractive to the Right Data Analytics Intern Candidate?

• We are a dynamic, forward leaning, financially stable organization.
• You will be joining an effective, committed, high-performing group of colleagues who are well-regarded in the community.
• Your opinion will count, having exposure to key stakeholders in the company and acting as an in-house business consultant.
• This position will play a crucial role in aiding the organization in their mission of ending global hunger.
• You’ll get hands-on, real-world experience in using data analysis to support business decisions.

Highlighted Responsibilities: 

• Extracting, wrangling, and transforming large datasets from multiple systems.
• Collaborating with stakeholders, understanding their data needs, and presenting key findings effectively.
• Translating requirements into data and metrics that meet business and information needs.
• Use graphs, infographics, tables, and other methods to effectively visualize data.
• Processing confidential data and information according to guidelines.
• Implementing KPI reports and interactive data visualization dashboards
• Fulfilling ad hoc data requests.
• Training end-users on new reports and dashboards.
• Utilizing statistical analysis, machine learning, or AI tools to implement predictive models.

Qualifications

A well-qualified candidate will possess the following:

• Ability to think critically and creatively about turning data into insights.
• Pursuing a master’s degree in Computer Science, Statistics, Economics, Mathematics, or related field.
• Experience with interactive data visualization software such as Tableau or Power BI.
• Experience with statistical programming languages such as R, Python, and SQL.
• Experience with relational database management systems.
• Strong analytical and problem-solving skills.