2026 Select Sires Inc, Internship - Data Analytics at Select Sires Inc

Plain City, Ohio, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Dec, 25

Salary

0.0

Posted On

19 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, SQL, Python, BI Tools, Communication, Collaboration, Curiosity, Problem-Solving, Data Visualization, Trend Analysis, Agricultural Data, Technical Skills, Business Insights, Presentation Skills, Stakeholder Engagement, Innovation

Industry

Biotechnology

Description

Description WHO WE ARE Based in Plain City, Ohio, Select Sires Inc. is committed to enhancing the productivity and profitability of dairy and beef producers. Highly fertile semen and genetic consultation are provided by three farmer-owned and -controlled cooperatives domestically, while World Wide Sires, Ltd. delivers international service. As the industry leader, Select Sires Inc. supplies farmers and ranchers with the world's best genetics, services and programs. SELECT SIRES, INC MISSION With the highest integrity, maximize the productivity, profitability, and sustainability of livestock producers who feed the world. SELECT SIRES, INC. CORE VALUES Integrity | Dedication | Respect | Innovation Select Sires, Inc. is currently seeking candidates to join our team as a Data Analytics Intern. This temporary full-time, hourly, non-exempt position is at our Plain City, OH facility and reports to the Lead Data Analyst. Specific duties and responsibilities of a Data Analytics Intern include, but are not limited to, Serve as a positive representation of the Select Sires, Inc. Mission and Core Values Contribute to a business-driven data project that applies core analyst responsibilities Engage with business stakeholders to understand requirements, project scope, and desired outcomes Explore data from multiple sources to identify trends, patterns, and opportunities Develop reports, visualizations, or models that translate data into meaningful business insights Share findings and recommendations with IT and business leadership through a final presentation A Data Analytics Intern 's work schedule is Monday through Friday, 8:00 AM – 4:30 PM. Work schedules and duties are subject to change to meet departmental needs. SELECT SIRES, INC. COMMITMENT TO EMPLOYEE GROWTH AND SUCCESS Select Sires is a team-oriented atmosphere, encouraging employees to take greater responsibility for their careers to grow personally and professionally. Select Sires offers employees competitive compensation packages that include flexible benefits Professional development through mentoring and internal and external training Advancement opportunities through career planning A culture instilled by a commitment to excellence, a passion for customer success, and high ethical standards A focus that includes work/life balance Community-oriented mindset as a major contributor to local organizations and events Requirements REQUIRED SKILLS AND ABILITIES OF A Data Analytics Intern: Strong curiosity and eagerness to learn how data supports decision-making across the business Willingness to explore new tools, methods, and problem-solving approaches Ability to collaborate effectively with both technical and business teams, including remote colleagues Strong communication skills with an interest in translating data into meaningful insights PREFERRED SKILLS AND ABILITIES OF A Data Analytics Intern: Exposure to or interest in Databricks, SQL, Python, or BI tools such as Power BI Familiarity with agricultural data or a strong interest in learning how data impacts the dairy and beef industries Enthusiasm for connecting technical skills with real-world business challenges Desire to bring fresh ideas and perspectives to data projects REQUIRED EDUCATION AND EXPERIENCE OF A Data Analytics Intern: Undergraduate or graduate student in Dairy Science, Animal Science, Agricultural Economics, Data Science, Computer Science, Information Systems, or a related field Strong background or interest in the dairy or beef industry is strongly preferred PHYSICAL REQUIREMENTS OF A Data Analytics Intern: Seldomly (0-1 hours) crawl and/or twist Occasionally (1-3 hours) climb stairs, squat/kneel, bend/stoop, push/pull, carry, floor lift (0-17”), knee lift (18”-29”), waist lift (30”-36”), chest lift (37”-60”), overhead lift (>60”) up to 20 lbs. Frequently (3-6 hours) sit, stand/walk. DISCLAIMER The job description is not intended to cover or describe all tasks, duties, and responsibilities the employee may be asked to perform. Select Sires retains the right to change or add new tasks, duties, and responsibilities to the employee at any time, with or without notice. WORK AUTHORIZATION Evidence of work authorization upon employment is required in compliance with the Immigration Reform and Control Act of 1986. Completion of USCIS form I-9 will be required to verify employment eligibility within three business days of the first day of employment. AAP/EEO STATEMENT Select Sires, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Select Sires, Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Select Sires, Inc. expressly prohibits workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Select Sires, Inc.'s employees to perform their job duties may result in discipline up to and including termination. Learn more and apply www.selectsires.com/Careers

Responsibilities

The Data Analytics Intern will contribute to a business-driven data project, engaging with stakeholders to understand requirements and exploring data to identify trends. They will develop reports and visualizations to translate data into meaningful business insights and present findings to leadership.