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Manager Predictive Science

Conagra

Manager Predictive Science

Conagra

Chicago, Illinois

·

On-site

·

Full-time

·

1w ago

Compensation

$107,000 - $156,000

Benefits & Perks

Healthcare

Mental Health

Gym

401(k)

Equity

Parental Leave

Flexible Hours

Learning Budget

Healthcare

Mental Health

Gym

401k

Equity

Parental Leave

Flexible Hours

Learning

Required Skills

Data analysis

Consumer insights

Storytelling

Data visualization

Reporting to the Director of Predictive Science, you will guide enterprise-wide portfolio and growth strategies by leveraging emerging demand signals and rigorous analytics to uncover patterns, headwinds/tailwinds, and future growth platforms. You will help predict demand transferability in the marketplace and translate complex data into clear, compelling narratives that influence senior leaders and external stakeholders. You will thrive on curiosity, always asking “what’s next?” and build strong cross-functional relationships and influencing across Investor Relations, Brand, and Demand Science.

Your Impact

  • Lead advanced data gathering, mining, analysis, interpretation, synthesis, and visualization to uncover actionable insights.

  • Translate complex analyses into simple, business-relevant stories and visuals for audiences up to executive leadership.

  • Support senior leadership with data collection and presentation development for internal and external events such as board meetings, earnings releases, AOP, Strat Plan, and CAGNY.

  • Continually mine data sets and tools to detect new patterns, identify headwinds and tailwinds, and develop portfolio narratives.

  • Provide macro consumer trend perspectives and determine their application to products, packaging, communication, and go-to-market strategies.

  • Assist in developing new Demand Science processes, tools, and capabilities, driving enterprise adoption.

  • Advance partnerships with data suppliers and maximize vendor tools through usage case studies and best practices.

Your Experience

  • 5+ years of experience producing high-quality consumer insights and analytics work, preferably in the CPG industry.

  • Bachelor’s degree required.

  • Strong experience using syndicated data (e.g., Circana/Nielsen) to measure retail sales and integrating multiple data sources and tools to interpret company, brand, and category performance

  • Proven storytelling and presentation skills that simplify complex concepts for all levels.

  • Strong organizational skills to anticipate key events and plan accordingly to ensure accuracy in deliverables.

  • Expertise in integrating multiple consumer data and learning tools, processes and analytical techniques for comprehensive analysis to get to final analysis and deliverables.

  • Strong communication skills and relationship-building capabilities across all levels.

  • Comfort working in unstructured situations with agility and innovative problem-solving.

  • Demonstrated adaptability, collaboration, influence, and data-driven decision-making.

Number of Days in Office: 3

Compensation:

Pay Range:$107,000-$156,000

The annual salary listed above is the expected offering for this position. An employee’s actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees’ equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees.

Our Benefits:

We care about your total well-being and will support you with the following, subject to your location and role:

  • Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement
  • Wealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan
  • Growth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement
  • Balance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities

Our Company:

At Conagra Brands, we have a rich heritage of making great food. We aspire to have the most impactful, energized and inclusive culture in food. As a member of our 18,000+ person team across 40+ locations, you are empowered to reach your potential, make an impact and own your career. We're in the business of building champions – within our people and our iconic brands like Birds Eye ®, Slim Jim® and Reddi-Wip®.

Our focus on innovation extends beyond making great food, it also reflects our commitment to embracing new solutions that positively impact our team, the communities we serve and the health of our planet. Foodies Welcome.

Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law. Reasonable accommodation may be made upon request.

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About Conagra

Conagra

Conagra

Public

Conagra Brands, Inc. is an American consumer packaged goods holding company that makes and sells products under various brand names that are available in supermarkets, restaurants, and food service establishments. Based on its 2021 revenue, the company ranked 331st on the 2022 Fortune 500.

10,001+

Employees

Chicago

Headquarters

Reviews

3.5

9 reviews

Work Life Balance

2.5

Compensation

4.0

Culture

3.2

Career

3.0

Management

2.8

65%

Recommend to a Friend

Pros

Good pay and compensation

Decent benefits and time off

Helpful and friendly coworkers

Cons

Demanding work schedules and long hours

Poor management and leadership

Inadequate training provided

Salary Ranges

58 data points

Senior/L5

Senior/L5 · Senior Data Engineer

2 reports

$169,000

total / year

Base

$130,000

Stock

-

Bonus

-

$148,342

$169,000

Interview Experience

52 interviews

Difficulty

3.2

/ 5

Duration

14-28 weeks

Offer Rate

42%

Experience

Positive 60%

Neutral 30%

Negative 10%

Interview Process

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

Common Questions

Technical skills

Past experience

Team collaboration

Problem solving