What are the responsibilities and job description for the Insight Analyst position at Post Holdings and Careers?
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 / 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
- Proactive 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