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**Brand:** Post Holdings Inc.

**Categories:** Information Technology

**Locations:** Saint Louis, Missouri

**Position Type:** Regular Full-Time

**Remote Eligible:** No

**Req ID:** 29570

Job Description

Business Unit Overview

Feeding the world is what we do – how we do it is unique. We are not your textbook consumer packaged goods company. While others may be slow to make change happen, Post continuously drives both inorganic and organic growth. Our history is evidence of that fact with over 100 years of heritage and growth from brands that transcend generations like Honey Bunches of Oats, Fruity Pebbles, Malt-O-Meal, Bob Evans, Kibbles 'n Bits, Egg Beaters, Peter Pan peanut butter and more. Our foodservice and ingredient businesses supply other products you love for brands, restaurants and stores.

We have more than 55 offices and manufacturing sites and approximately 13,000 employees. Over the past 13 years, Post has made 28+ acquisitions and innovative financial transactions and reached $8.2 billion in net sales in fiscal 2025. During turbulent times of market uncertainty, the food industry has provided a level of stability unlike other industries

Post Holdings, Inc. is a Fortune 500 ® company headquartered in Brentwood, a suburb of St. Louis, Missouri. Our casual professional atmosphere encourages team members to collaborate, innovate and support our operating companies. Our passion and drive advance the reputation of our operating companies and brands—together, we make a difference.

Responsibilities

The Decision Science team helps our operating companies solve their most challenging problems and drives decisions with data. As a member, you will be at the center of data and analytical innovation and adoption. In the role of an Insight Analyst, you will drive value by assisting on projects to solve problems. You will be collaborating with Decision Science to find thoughtful solutions to business problems that embed and promote advanced analytics, data storytelling and enable self-service analytics. You will have access to the latest technology, tools and knowledge to ensure your success.

KEY RESPONSIBLITIES

+ Contribute to the projects of the Applied Analytics team, including delivery of high-quality data, self-service, and machine learning and Generative AI solutions, aligning to the overall strategic objectives.

+ Clearly articulate value realization data stories using visualization tools, analytics, PowerPoint, written and oral communication

+ Learn how to design sustainable solutions that solve both short- and long-term goals.

+ Generate high-quality deliverables under firm deadlines leading to on-time project delivery.

+ Develop a deep understanding of how data is used by the business and how IT applies technology to make the data readily available.

+ Be up-to-date on Generative AI landscape and understand what models and approaches can be applied to Decision Science projects

+ Contribute to the continuous improvement, stability, and overall health of the data assets created by the applied analytics reporting team.

+ Learn the Decision Science tool stack through in-service development starting with bug fixes and product enhancements growing into project-based deliverables

+ Support the data curation process by feeding the data catalog and knowledge base with key information.

+ Streamline the process of sourcing, organizing, and accelerating data for analysis.

+ Demonstrated an ability to effectively troubleshoot and identify where data assets are breaking

+ Be a problem finder to uncover opportunities for improvement in the business

+ Contribute to the delivery of high-quality work by learning project management and communicating updates to help drive results

+ Grow data literacy across the Post Holdings organization to where decisions at all levels are guided by data and analytics.

+ Become an expert on new features (Generative AI, visualizations, etc.) within out tool stack (dbt, Tableau, Snowflake) and share your knowledge with others through our training channels.

Qualifications

QUALIFICATIONS / SKILLS

+ Bachelor’s Degree in Finance, Business Administration, Economics, Statistics, Computer Science, Information Systems or related field / equivalent experience.

+ 1-3 years of relevant industry experience in business intelligence or reporting and analytics, Big 5 consulting experience a plus. Recent college grads accepted as well.

+ Solid grasp of data and analytics concepts and methodologies including data science, data engineering, and data storytelling

+ Hands-on experience with data science, artificial intelligence, machine learning, data architecture or data storytelling

+ Proficiency with SQL

+ Exposure to ELT / ETL tools

+ Voracious hunger for learning and willingness to go the extra mile to grow with the team

+ Fluency in a coding language (python, SQL, etc.) and a proven ability to learn new coding languages

+ Provocative thinker who is courageous to share their thoughts regardless of the level of the audience

+ Self-motivated individual who can identify issues / opportunities for improvement

+ Ability to wear many hats that switch between quality focus, business analysis and project management.

+ Capable of self-management and able to multitask as priorities evolve and change.

+ Demonstrates ownership of outcomes vs being an order taker of tasks

+ Intellectual curiosity, passion for problem-solving, a test-and-learn mentality and thrives in ambiguity

+ Bring a sense of fun, passion and positive attitude to every day.

+ Communicate in a succinct, friendly manner that promotes directness and respect.

+ Ability to travel 3-4 times per year

This is a hybrid role based in St. Louis. In-office days are Tuesdays, Wednesdays and Thursdays. Work from home days are Mondays and Fridays. #LI-hybrid

Post Holdings provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, status as a covered veteran and any other category protected under applicable federal, state, provincial and local laws.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)