Data Analytics Co-op at SACB

Boston Beer Company•Cincinnati, OH

5h•$18 - $20•Onsite

About The Position

We are currently hiring a Data Co-op in Cincinnati, OH for the Co-op cycle of July 2026-December 2026. This role reports to the Corporate Sr. Quality Manager supporting operations across the Boston Beer enterprise. We are looking to on-board a third or fourth-year undergraduate student whose primary area of study is focused on analyzing data. The successful candidate will work on a project(s) with the goal of turning data into information, information into insight and insight into business decisions. The co-worker in this position will be asked to gather data from primary and secondary sources, identify trends, analyze data using statistical techniques, and interpret & present findings using visuals.

Requirements

Must be a current 3rd or 4th year undergraduate student pursuing a degree in an analytics-based program.
Excellent data analytic skills
Curiosity when analyzing data
Ability to change analysis direction based on interim findings
Ability to integrate and extract from datasets using relevant programs and coding
Experience using SQL
Strong Excel skills

Nice To Haves

Previous Co-op experience
Leadership Experience
Excellent communication skills
Experience using R or Python to extract, manipulate, and analyze data
Statistical analyses experience: regression modeling, decision trees, clustering

Responsibilities

Data Gathering:
Familiarize self with sources of data and the data collection process.
Manager data primarily related to Quality-related processes.
Work with management to prioritize business needs and acquire data from primary or secondary data sources.
Validating Data:
Ensure the quality and accuracy of data in spread sheets and databases, either manually or through programming language, so that interpretations will not be wrong or skewed.
Filter and “clean” data by reviewing reports, printouts, and performance indicators to locate and correct errors.
Support data integrity and normalization initiatives.
Modeling Data:
Develop, implement, and maintain data mining, data cleansing, and other strategies that optimize statistical efficiency and quality.
Manage confidential data and information according to guidelines.
Provide ongoing updates via reports and dashboards.
Make data driven recommendations to improve.
Interpreting Data:
Identify, analyze and interpret trends or patterns in complex data sets to provide business insights, identify opportunities, help answer questions, solve problems and make better decisions.
Generate data reports and analysis with data pulled from multiple systems
Presenting Data:
Communicate findings through creating visualization like charts and graphs, developing dashboards, writing reports, and presenting information to internal stakeholders.