IT Data & Analytics Co-Op

Buffalo, NY, US, 14213

Rich Products Corporation

Rich's inspires possibilities with high quality, wholesale food products and ingredients that can be found in commercial kitchens in all corners of the globe. Serving foodservice, in-store bakery, retail, and industrial markets.

View company page

Rich’s, also known as Rich Products Corporation, is a family-owned food company dedicated to inspiring possibilities. From cakes and icings to pizza, appetizers and specialty toppings, our products are used in homes, restaurants and bakeries around the world. Beyond great food, our customers also gain insights to help them stay competitive, no matter their size. Our portfolio includes creative solutions geared at helping food industry professionals compete in foodservice, retail, in-store bakery, deli, and prepared foods, among others. Working in 100 locations globally, with annual sales exceeding $4 billion, Rich’s is a global leader with a focus on everything that family makes possible. Rich’s®—Infinite Possibilities. One Family.

 

Purpose Statement

Rich’s, also known as Rich Products Corporation, is a family-owned food company dedicated to inspiring possibilities. From cakes and icings to pizza, appetizers and specialty toppings, our products are used in homes, restaurants and bakeries around the world. Beyond great food, our customers also gain insights to help them stay competitive, no matter their size. Our portfolio includes creative solutions geared at helping food industry professionals compete in foodservice, retail, in-store bakery, deli, and prepared foods, among others. Working in 100 locations globally, with annual sales exceeding $4 billion, Rich’s is a global leader with a focus on everything that family makes possible. Rich’s®—Infinite Possibilities. One Family.

Key Accountabilities and Outcomes

The Data and Analytics Co-Op will be part of the Rich’s Enterprise Data + Analytics Team. The Enterprise Data + Analytics team works with various business function teams and departments such as Sales, Marketing, Customer Service & Logistics, Finance, and many others. Our goal is to provide data and analytical solutions to the business, leveraging best-in-class techniques, technologies, and processes.

You will have the opportunity to work on challenging business problems, build new skills (both technical and business), and see theory come to life by applying methods and techniques to real-world problems

Knowledge, Skills, and Experience

The ability to learn and leverage Microsoft Azure technologies to build data pipelines and/or generate analytical models is expected. These technologies include Azure Data Factory, Azure Databricks and Azure Machine Learning Services.
The Data + Analytics Co-Op will have the opportunity to cross over into both data engineering and data science work.
The ability to present results and communicate with data through storytelling and visualizations is especially important for this role.
The ability to work in a Scrum team environment will be critical as these teams require strong collaboration, communication, and agility daily.

Knowledge/Skills/Experience

  • Enrolled in a bachelor’s degree or masters degree program in Computer Science, Software Engineering, IT (Information Technology), MIS, Mathematics, Statistics, or related quantitative field is preferred. Other backgrounds are also acceptable as long as the applicant has strong quantitative skills.
  • Strong in Python, PySpark, and SQL scripting skills
  • Experience with Jupyter and Databricks notebooks
  • Experience building, assessing, and deploying Machine
  • Learning models is a plus
  • Experience with PowerBI, Looker, Tableau, or similar data visualization technologies
  • Experience leveraging version control and repository management systems (Git experience recommended)
  • Strong problem-solving skills (Hypothesis development and testing is a plus)
  • Excellent written and oral skills
  • Excellent organizational skills and attention to detail
  • Ability to quickly adopt modern technologies with a natural curiosity
  • Strong collaboration, communication, and critical thinking skills
  • Self-driven, and action oriented

#LI-JH3

 

COMPENSATION

In accordance with state law, the rate or range provided is Rich Products Corporation, its subsidiaries and affiliates ("Rich's"), reasonable estimate of the base compensation for this role. The actual amount may be higher or lower, based on non-discriminatory factors such as experience, knowledge, skills, abilities, shift differential, and location.

 

Annual Range/Hourly Rate

$24.00 - $32.00

 

 

 

Rich Products Corporation, its subsidiaries and affiliates (“Rich’s”), are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, veteran or military status, genetic information, gender identity, sexual orientation, marital status or any other legally recognized protected basis under federal, state, or local law. The information collected by this application is solely to determine suitability for employment, verify identity, and maintain employment statistics on applicants.

 

Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Rich’s. Please contact Rich’s Human Resources department at hrhelp@rich.com if you need assistance completing this application or to otherwise participate in the application process.

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  18  10  0
Category: Analyst Jobs

Tags: Azure Computer Science Databricks Data pipelines Data visualization Engineering Finance Git Jupyter Looker Machine Learning Mathematics ML models Pipelines Power BI PySpark Python Scrum SQL Statistics Tableau Testing

Perks/benefits: Career development Competitive pay

Region: North America
Country: United States

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.