Job Description

The Data & Analytics Business Intelligence team is hiring for a Data Analyst Intern.

Cboe’s Data & Analytics department empowers data-driven decision-making across the company, and its Business Intelligence team enables Cboe to translate complex data into meaningful actions with consistency and connectedness. Through BI’s trusted expertise across business and technical domains, business decisions become less reliant on fragmented and difficult-to-replicate intuition and driven more by accessible and explainable data analysis.

The Data Analyst Intern will carry this mission forward by collaborating with business teams to understand their analysis challenges and with technical teams to deliver to decision makers the most reliable data available in the most usable form possible. The Data Analyst Intern should be prepared and excited to develop optimised queries against massive Snowflake databases, to build dynamic, responsive dashboards and reports in the Sigma Computing platform, and to think creatively to solve nuanced technical puzzles along the way.

Your responsibilities and learning objectives will be:

• Work on a summer-long project involving data analysis, visualisation, and/or reporting, with clear business applications and mentorship throughout.
• Collaborate with data analysts, business analysts, and business stakeholders to understand business problems and how data can be leveraged to solve them.
• Collaborate with data analysts, data engineers, and quantitative researchers to develop, enhance, and wrangle large-scale datasets for effective use in BI dashboards and automated workflows.
• Present project work to the Data & Analytics teams at the end of the internship.
• Gain exposure to financial products, trading systems, high-performance technical platforms, and business challenges in the financial services industry.

The ideal candidate has:

• Current enrollment in a Bachelor’s or Master’s program in Data Science, Business Analytics, Finance, Computer Science, Statistics, or a related quantitative field.
• Proficiency in SQL and Python programming languages.
• Creative problem-solving and course-correcting skills, high level of detail orientation, and self-driving intellectual curiosity.
• Strong communication skills.

You’ll really stand out with:

• Experience in the financial services industry.
• Experience with data visualisation platforms such as Sigma, Tableau, and Power BI.
• Experience with cloud-based large-scale data/analysis platforms such as Snowflake, Databricks, Amazon Redshift, and Google BigQuery.

Benefits and Perks:

• Employee Assistance Programme with Headspace - This service intends to help associates deal with personal problems that might adversely impact their work performance, health and well-being. This service includes short- term counselling and referral services for associates and their immediate family.
• 2 days holiday per month
• Free lunch, snacks and drinks in the office

Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes.