At Foster Farms, our mission is to serve families great food. Since 1939, we have provided families with delicious, high-quality chicken and turkey products. Our portfolio includes a wide variety of fresh, frozen, and ready-to-eat poultry products to meet the needs of families.

Foster Farms is a leading poultry company headquartered in Livingston, California. We have grown from a small poultry farm outside Modesto, California, into a thriving food industry leader with over 12,000 TEAM members, with operations in Alabama, Arkansas, California, Colorado, Louisiana, Oregon, and Washington.

Great food starts with great people. We have learned over the years that our greatest resource is the exceptional talent, passion and hard work our valued TEAM members bring each day. From our corporate roles to great opportunities in our farms, we have a dynamic and collaborative environment with a unique combination of challenge, learning, and camaraderie, making this a special place to work. We are seeking TEAM members who want to be a part of our success. We offer excellent salaries and benefits and strongly support TEAM member education and advancement within the company.

At Foster Farms, we are building a culture nobody wants to walk away from. We are united by our dedication to our great products, doing things the right way, and caring for one another. If those are the values you believe in, we encourage you to apply today and join our Family.

We are in search of a highly skilled and versatile Data Analyst to join our dynamic team. The ideal candidate will not only excel in building and maintaining complex templates, databases, and forms but will also demonstrate expertise in advanced analytics and data-driven decision-making. The candidate should be proficient in utilizing a range of tools and technologies, including MS Office Suite, SQL, Python or R programming, and cloud platforms. This individual should possess a strategic mindset, be adept at creating compelling visualizations using Power BI or Tableau, and be able to articulate complex data insights through strategic stories and presentations using PowerPoint.

Essential Job Functions:

• Prepare and analyze data,and identifygaps and opportunities, as well as, solutions.
• Conduct in-depth data analysis using statistical methods, and interpret results to provide valuable insights for informed decision-making.
• Utilize SQL to efficiently manage and query databases, extracting and manipulating data as needed for analysis.
• Implement data cleaning and preprocessing techniques to ensure data quality and integrity.
• Apply programming skills in Python or R to automate repetitive tasks, enhance data analysis capabilities, and support statistical modeling.
• Create visually appealing and interactive dashboards using Power BI or Tableau for effective data visualization.
• Collaborate with cross-functional teams to understand business requirements and provide analytical support for various initiatives.
• Utilize version control systems, such as Git, to manage and track changes to code and data.
• Apply machine learning concepts to enhance predictive analytics capabilities if relevant to organizational needs.
• Demonstrate a strong understanding of business processes, aligning data analysis efforts with strategic organizational goals.
• Maintain awareness of data privacy regulations and security best practices to ensure responsible handling of sensitive information.
• Stay updated on industry trends and leverage cloud platforms (e.g., Azure, AWS, Google Cloud) for scalable data solutions.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Finance, Accounting, Business, Data analytics, or related discipline, or equivalent work experience.
• Exceptional Microsoft Excel and financial modeling skills.
• Must be highly analytical
• Ability to build insights and present business solutions
• Prepare data, analyze data and bridgegaps and opportunities, as well as, solutions.
• Proficient in SQL, Python/R Programming, Version Control Systems (Git), Automation Skills (e.g., VBA), Machine Learning Concepts, and Cloud Platforms (e.g., Azure, AWS, Google Cloud).
• 3-5 years of relevant experience in a business analyst, data analyst, or statistical analysis role.
• 3+ years of experience analyzing datasets to solve business problems.
• Strong skillset in Business Intelligence tools, ideally Looker.
• Problem solver with ability to function in a fast-paced environment.
• Strong organization, time management, and communication skills.
• Ability to multi-task and prioritize projects and workload.
• Data Privacy and Security Awareness.
• Demonstrated experience in Statistical Analysis, Project Management, and Business Acumen.