Description
We are looking for an Analytics Intern to join Greenlight’s Data Analytics team. In this role, you will be one part data detective, one part compassionate consultant, and a dash of enterprising entrepreneur. As an Analytics Intern you won’t just read a script or crunch numbers, but rather you will be a part of telling stories with data that help inform business decisions.
This is the perfect opportunity for an individual who is passionate about data, who has the drive to solve complex problems, and who is comfortable working in a fast-paced environment and dealing with ambiguity. You will work together with our dedicated data analysts to deliver meaningful insights to our key customers -- strong team orientation is a must-have.
Your day-to-day:
- Apply analytics skills and coursework in a real world environment
- Dive into our robust and often messy data sets to explore and prepare data for analytical needs
- Collaborate with the team to conduct analysis that drives decision-making across the organization
- Visualize results in interactive dashboards that are used by business leaders
- Contribute to the documentation of data concepts and data tables to enable better understanding and self-service across the organization
- QA and debugging of others analytic work to ensure top data quality, consistent and compelling narratives
- Perform exploratory data analysis to identify patterns, trends, and anomalies.
- Stakeholder Communication - Presenting your work to stakeholders to drive decision making
What you’ll bring to the team:
- Strong background in math, statistics, and/or computing
- Familiarity with using SQL and a basic understanding of data structures is required
- Experience with Python is a plus
- Ability to thrive in a fast-paced, entrepreneurial, high-energy environment with shifting priorities
- Comfortable dealing with ambiguity, making assumptions, and drawing conclusions
- Strong communication skills
Not sure this one’s for you? Don’t count yourself out. Show us what you’ve got and we’ll reach out if there’s a great fit.
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