Business Solutions & Data Analytics Intern at BUMBLE BEE FOODS, LLC

San Diego, California, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Sep, 26

Salary

25.0

Posted On

13 Jun, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Power BI, SQL, Python, Data Analysis, Data Visualization, Data Modeling, Pandas, NumPy, Tableau, AI Applications, Problem Solving, Communication Skills

Industry

Consumer Goods

Description

Description The Business Solutions & Data Analytics Intern will support the newly established BSDA team in driving data-informed decision-making across the organization. This role provides hands-on experience working with modern data tools and technologies including Power BI, SQL, Python, and emerging AI applications. The ideal candidate is highly curious, analytical, and excited to learn, with a strong foundation in data and programming. This internship is designed to provide meaningful exposure to real-world business problems and offers the potential for future growth within the organization for high-performing candidates. RESPONSIBILITIES: Support development and maintenance of interactive dashboards and reports using Power BI to deliver insights to business stakeholders Assist in writing and optimizing SQL queries to extract, transform, and analyze data from various systems Utilize Python (or similar tools) to perform data analysis, automation, and data preparation tasks Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions Help clean, validate, and organize large datasets to ensure data accuracy and integrity Assist in exploratory data analysis to identify trends, patterns, and improvement opportunities Contribute to ongoing projects related to data modeling, reporting enhancement, and process improvement Support the evaluation and application of emerging technologies, including AI tools, to improve business efficiency and decision-making Document processes, workflows, and solutions to support knowledge sharing across the team EDUCATION / EXPERIENCE / SKILLS REQUIRED: Currently pursuing or recently completed a Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Business Analytics, or a related field Exposure to programming languages such as Python and SQL required; Familiarity with data analysis libraries (e.g., pandas, NumPy) and data visualization tools (e.g., Power BI, Tableau) preferred Strong analytical and problem-solving skills with attention to detail Ability to work with large datasets and maintain high levels of data accuracy Eagerness to learn new technologies and apply them in a business environment, including AI-related tools Strong communication skills and ability to explain data concepts to non-technical stakeholders Self-motivated with the ability to manage multiple tasks and meet deadlines COMPENSATION: The pay for this internship is $24.00 – $25.00 per hour. Please note, however, that Bumble Bee Foods, LLC, in its sole discretion, may modify the above compensation. We also offer other benefits including: Sick-flex time Medical insurance Dental insurance Vision insurance HSA & FSA Life insurance AD&D (Accidental Death & Dismemberment) Insurance Disability insurance (Short Term and Long Term Disability) EAP (Employee Assistance Program) And other voluntary company benefits (Critical Illness, Hospital Indemnity) 401K with employer match Membership to WellHub, a Health & Wellness Benefit ABOUT THE BUMBLE BEE SEAFOOD COMPANY The Bumble Bee Seafood Company is passionately pursuing its purpose of feeding people’s lives through the power of the ocean. We are an iconic 125-year-old year-old fishing company that consistently aims to deliver delicious, healthy, and affordable food to consumers while working hard to find new ways to protect the ocean and those that rely on it. Bumble Bee is firmly anchored in a commitment to connect the world to the ocean by re-defining sourcing, producing, and enjoying products from and inspired by the ocean. Bumble Bee’s full line of seafood and specialty protein products are marketed in the U.S., Canada and over 50 markets globally under leading brands including Bumble Bee®, Brunswick®, Clover Leaf®, Snow’s®, and Beach Cliff®. For more information about the company, visit TheBumbleBeeCompany.com. For product information, visit www.BumbleBee.com. Bumble Bee Foods, LLC is an Equal Opportunity Employer/ Affirmative Action employer. Employment decisions are based on merit, qualifications, and business needs. We do not discriminate based on race (including hair texture and protective hairstyles), color, religion, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, medical condition, veteran status, or any other protected status under federal, state, or local law. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request accommodation, contact Bumble Bee Foods, LLC Human Resources Representative. Requirements Currently pursuing or recently completed a Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Business Analytics, or a related field Exposure to programming languages such as Python and SQL required; Familiarity with data analysis libraries (e.g., pandas, NumPy) and data visualization tools (e.g., Power BI, Tableau) preferred Strong analytical and problem-solving skills with attention to detail Ability to work with large datasets and maintain high levels of data accuracy Eagerness to learn new technologies and apply them in a business environment, including AI-related tools Strong communication skills and ability to explain data concepts to non-technical stakeholders Self-motivated with the ability to manage multiple tasks and meet deadlines

Responsibilities

Support the development of interactive dashboards and reports using Power BI to provide business insights. Assist in data extraction, transformation, and analysis using SQL and Python to solve real-world business problems.