Analytics Manager

Found in: Talent US C2 - 2 weeks ago


Chesterfield, United States Dot Foods Full time

You’re a strong communicator, facilitator, and mediator. You can translate between business and technical language. You’re not afraid to challenge the status quo. You can prioritize efficiently and see the big picture. You're analytically minded, with a keen eye for data-driven insights. You thrive on transforming complex data into actionable strategies. If this sounds like you, Dot Foods wants you on our team. 

As the Analytics Manager for the Data & AI team at Dot Foods, you'll be overseeing a talented multidisciplinary team, guiding their efforts in analytics and AI projects that align with our organizational goals. Working alongside the Director of Data & AI, your primary focus will be on managing this team, ensuring projects are delivered on time, within budget, and to the highest standards. Your role involves fostering innovation and the exploration of new technologies, while also making complex data insights accessible across the company through clear communication and collaboration. Through your management, the team's efforts will support the company's data-driven initiatives.

WHAT YOU’LL DO

Work closely with the Director of Data & AI to align analytics initiatives to strategic goals and objectives Ensure analytics and AI projects are delivered on time, within budget, and meet quality standards by managing project scopes, resources, and risks. Serve as a liaison between the analytics team and other business units, facilitating clear communication of analytics insights and recommendations Collaborate on and advocate for the use of analytics and AI solutions through regular interaction with team members, cross-functional leaders, external partners, and stakeholders Support the exploration and implementation of new technologies, methodologies, and practices in analytics and AI to drive continuous improvement and competitive advantage Oversee the budget for analytics projects, including forecasting, resource allocation, and cost optimization Apply lean tools and thinking to identify and eliminate waste in all areas of the position

YOU MUST HAVE

A Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field, or equivalent professional experience. A minimum of 5 years in analytics or data science roles, with at least 2 years in a strategic management or leadership position, preferably with experience leading cross-functional teams and driving organizational change. Deep understanding of data analytics tools and platforms (, SQL, Python, R), including AI and machine learning technologies (foundation & large language models), and a strong grasp of database management, data processing, and data visualization tools. Demonstrated project management, team management, and budgeting skills, coupled with excellent communication abilities to effectively interact with both technical teams and business stakeholders.

You May Also Have

3+ years of experience working in as part of a data & AI team Familiarity with information architecture and creative disciplines Experience with requirement/test/project management solutions

Role Specifics

Salary Grade: S21 Occasional overnight travel. Ability to travel without restriction by all modes of transportation.

Who We Are

Dot Foods makes products more accessible and affordable to the food industry. We add efficiency to the supply chain and build strong partnerships with distributors, suppliers, and operators. Our company was created on a foundation of respect and dependability. People who are open to input, ask questions, embrace diversity, and seek innovative solutions thrive here.

What Can Dot Offer You

As a family-owned and -operated company since 1960, Dot Foods has created a strong family culture. We make everyone feel included and respected. In addition to an inclusive working environment, we will provide you with: 

Competitive Hourly Pay Extensive benefits including medical, dental, 401k, and profit-sharing Significant advancement opportunities

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