Hybrid Data, Analytics & AI Intern

Sargento Foods

Town of Plymouth (WI)

On-site

USD 25,000 - 34,000

Full time

14 days+

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Benefits offered by this job

Flexible work week onsite Mon-Thu, rem

Relocation & housing paid

401(k) employer contribution top 1%

Discounts at cheese store and local AT

Mentorship & career development

Volunteer in community service

Unpaid days for interns/co-ops

Job summary

Sargento Foods seeks a data internship to design data visuals and collaborate with stakeholders to capture analytics use cases. You will build basic data models with engineer support and assist in ELT/ETL pipelines across cloud and on-premise systems.

You will help monitor data quality, contribute to data security best practices, and support metadata and data catalog efforts. You will enable business users on data, analytics, and AI tools, participate in AI-related research, and contribute to

Qualifications

Pursuing a bachelor’s degree in information science, data science, information technology, computer science, artificial intelligence, machine learning, or a related field, having completed sophomore year prior to the start of internship.
Basic understanding of data querying and programming languages (SQL, Python) a plus.
Familiarity with AI tools, prompt engineering concepts, machine learning fundamentals, or generative AI technologies is a plus.
Familiarity with cloud platforms (AWS, Azure, or Snowflake) a plus.
Exposure to data pipeline or transformation tools (dbt, Matillion, or similar) a plus.
Experience with data visualization or business intelligence (BI) tools a plus.
Proficiency in MS Office.
Ability to communicate complex data insights in a clear and concise manner.
Effective communication skills with the ability to work with cross-functional teams and stakeholders.
Strong analytical and problem-solving skills.
Eagerness to learn and adapt in a fast-paced environment.
Curiosity about how data moves through systems and how it is structured, stored, consumed, and leveraged through analytics and AI solutions.
Valid driver's license, vehicle insurance, and vehicle required. There is no mass/public transit system to/from corporate housing location to company locations

Responsibilities

Design data visuals and concepts based on business stakeholder input.
Collaborate with business stakeholders to discover business needs and capture business use cases for data, analytics, and AI initiatives.
Build basic data models for business analytics initiatives with support from data engineers.
Assist in developing and testing ELT/ETL pipelines that move and transform data across cloud and on-premise systems.
Support data quality monitoring efforts, including identifying anomalies, gaps, and inconsistencies in datasets.
Develop and manage policies and best practices for proper data protection and security.
Support the collection of metadata information for analytics metrics and data terminology, including contributing to data catalog and lineage documentation efforts.
Assist in enabling business stakeholders on data, analytics, and AI tools, software, and concepts, including responsible and effective use of approved AI capabilities.
Support AI-related research, experimentation, and documentation efforts, including evaluating use cases, gathering business requirements, measuring value, and contributing to AI adoption and enablement activities.
Gain a basic understanding and work effectively in an Agile (SAFe) project management framework Assist with packaging design projects