About the role
Job Description: We are Nature’s Bakery, one of the fastest growing snack brands in the category and have recently joined the Mars family of companies, to accelerate the growth of our healthier snacking platform. We have a bright future ahead of us. Come bake with us and create a world of snacking that is both good, and good for you. The Sr Data Scientist Analyst will play a critical role in enabling data-driven decision making across the organization.
This role partners closely with Sales, Supply, and Category teams to translate complex data into clear, actionable insights that drive business performance. The role will be critical in enabling key demand processes (S&OP, IBP, Customer Meetings, Forecasting) with simple and clean reporting to drive quick insight and decision making.
Responsibilities Generate insights to support strategic decision-making across omni-channel sales, supply planning, and category management Build and maintain reporting and dashboards in Power BI leveraging Scintilla, Nielsen, and internal supply chain data Analyze large datasets to identify trends, risks, and opportunities that impact revenue, distribution, and execution Translate complex analyses into clear, compelling narratives for business stakeholders Improve and automate data processes and workflows, including data collection, validation, and integration across multiple sources
Support ad hoc analysis and deep dives to inform key business initiatives and leadership decisions Qualifications Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related technical field (or equivalent experience) 2–4 years of experience in a data, analytics, or technical role (CPG or retail experience a plus) Advanced Microsoft Excel skills (modeling, data manipulation, scenario analysis) Experience with Power BI or similar visualization tools (Tableau, Looker, etc.) Working knowledge of a programming language such as Python or SQL Strong analytical mindset
with attention to detail and data integrity Ability to simplify complex analyses into clear, business-relevant insights Self-starter comfortable operating in a fast-paced, ambiguous environment Experience working with SAP What we offer you Our team members' physical and mental health is important to a thriving workplace.
That’s why we offer the following benefits to full-time employees: Medical, dental, and vision insurance offered for eligible employees 401(k) plan with a company match that vest on day 1 of eligibility Paid vacation Paid time off Holiday pay Paid short-term disability Paid life insurance Banfield Pet Insurance Discounts Wellness Benefits and Discounts Employee Assistance Program #NaturesBakeryjobs The base pay range for this position at commencement of employment is between the range listed below, however, base pay offered may vary depending on multiple individualized factors, including but
not limited to job-related knowledge, skills, and experience. The total compensation package for this position will include variable pay, medical and dental benefits, participation in 401k plan, and paid time off benefits. Details of participation in these benefit plans will be provided if an applicant receives an offer of employment. The pay range listed is applicable to IL:USD 74,511.00 - USD 102,453.00 Mars is a family-owned business with more than $35 billion in global sales.
We produce some of the world’s best-loved brands: M&M’s®, SNICKERS®, TWIX®, MILKY WAY®, DOVE®, PEDIGREE®, ROYAL CANIN®, WHISKAS®, EXTRA®, ORBIT®, 5™, SKITTLES®, BEN’S ORIGINAL®, and COCOAVIA®. Alongside our consumer brands, we proudly take care of half of the world’s pets through our nutrition, health and services businesses such as Banfield Pet Hospitals™, BluePearl®, Linnaeus, AniCura, VCA™ and Pet Partners™. Headquartered in McLean, VA, Mars operates in more than 80 countries.
The Mars Five Principles – Quality, Responsibility, Mutuality, Efficiency and Freedom – inspire our 140,000 Associates into taking action every day towards creating the world we want tomorrow.
Minimum requirements
- Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or related field with 2–4 years of relevant experience
- Advanced Excel skills, experience with Power BI or similar tools, and programming knowledge in Python or SQL
- Strong analytical skills, ability to simplify complex data, and experience working with SAP
This listing was parsed by AI and may not be complete. Check the official posting on Mars's site for the most accurate information.