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Senior Manager Consumer Planning & Analytics

Reynolds American

Winston Salem, NC · HybridJobSeen todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Winston Salem, NCHybrid
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Reynolds American seeks a Senior Manager of Consumer Planning & Analytics to turn consumer, loyalty, retail, and pricing data into insights that improve commercial decisions and go-to-market execution. The role leads analytics and data science solutions, pricing and promotional measurement, and cross-functional planning. It also translates technical findings for business leaders and develops analysts or data scientists.

Skills & qualifications

RequiredNice to have

Skills

PythonSQLDatabricksStatistical ModelingMachine LearningAdvanced AnalyticsA/B TestingROI AnalysisRegressionDecision TreesGradient BoostingPromotional Effectiveness MeasurementModel ValidationCommercial Data AnalysisRetail Data AnalysisConsumer Data AnalysisLoyalty Data AnalysisD2C Data AnalysisBusiness StorytellingExecutive PresentationsData VisualizationPower BITableauStakeholder ManagementCommunicationInfluencingCross-Functional CollaborationAnalyst Coaching

Qualifications

Bachelor's DegreeMaster's Degree5+ Years Experience

Benefits

401(k) Match
Medical Insurance
Dental Insurance
Vision Insurance
Tuition Assistance
Paid Time Off
Parental Leave

Full job description

Senior Manager Consumer Planning & Analytics

Reynolds American is evolving into a global multi-category business. Our purpose is to create A Better Tomorrow™ by Building a Smokeless World.

To achieve our ambition, we are looking for colleagues who are ready to join us on this journey. Tomorrow can’t wait, let’s shape it together!

REYNOLDS AMERICAN has an exciting opportunity for a Senior Manager Consumer Planning & Analytics in Winston-Salem, NC.

This role is accountable for translating large-scale consumer, loyalty, retail, and pricing data into clear, actionable insights that improve commercial decision-making, pricing performance, promotional efficiency, and go-to-market execution. The Snr Manager will combine strong analytical capability, business acumen, and storytelling skills to support advanced pricing analytics, measurement, automation, and cross-functional planning across brands and channels.

Your key responsibilities will include:

  • Lead the development of advanced analytics and data science solutions that connect commercial strategy, pricing, consumer insights, and promotional investment decisions.

  • Synthesize large and complex data sets, including D2C, loyalty, retail sales, and commercial performance data, into clear, actionable business recommendations.

  • Design, validate, and deploy machine learning, statistical, and test-and-learn methodologies to optimize pricing and promotional effectiveness across brands and channels.

  • Apply analytical techniques such as A/B testing, ROI analysis, regression, decision trees, gradient boosting, and related methods to answer ambiguous business questions.

  • Partner with IDT and technology teams to ensure analytical models are scalable, maintainable, production-ready, and integrated into existing data infrastructure.

  • Translate complex technical outputs into compelling business narratives, dashboards, and data visualizations that support stakeholder alignment and senior leadership decision making.

  • Partner cross-functionally with Brand, Trade Marketing, Finance, Consumer Insights, Analytics, and commercial teams to embed business context into analytical solutions.

  • Coach, guide, and develop analysts or data scientists while helping build a collaborative, insight-led culture focused on measurable business impact.

What are we looking for?

  • Bachelor’s degree required; Master’s degree preferred in Business Analytics, Statistics, Computer Science, Market Research, Business, or a related quantitative discipline

  • 5+ years of experience in marketing analytics, data science, machine learning, pricing analytics, or a related quantitative field; CPG or commercial strategy experience preferred.

  • Strong technical proficiency in Python, SQL, Databricks, statistical modeling, machine learning methods, and advanced analytics techniques.

  • Practical experience with A/B testing, ROI analysis, regression, decision trees, gradient boosting, promotional effectiveness measurement, and model validation.

  • Experience working with large commercial, retail, consumer, loyalty, or D2C data sets to identify trends, opportunities, and actionable recommendations.

  • Ability to translate technical outputs into plain-language business stories, executive-ready presentations, and data visualizations using tools such as Power BI or Tableau.

  • Strong stakeholder management, communication, and influencing skills, with ability to partner across commercial, analytics, finance, brand, and technology teams.

  • Experience guiding, coaching, or developing analysts or data scientists is preferred.

WE ARE REYNOLDS AMERICAN—A member of the BRITISH AMERICAN TOBACCO GROUP

At Reynolds American, we are committed to our Purpose of creating A Better Tomorrow. This is what drives our people and our passion for innovation. See what is possible for you at REYNOLDS AMERICAN.

BELONGING, ACHIEVING, TOGETHER

Collaboration and teamwork underpin everything we do here at Reynolds American.We know that collaborating with colleagues is what makes us stronger and best prepared to meet our business goals.

SALARY AND BENEFITS OVERVIEW

Benefit Information

The following is a general summary of the competitive compensation and benefit plans we offer:

  • 401(k) plan that offers opportunity to save on pre- and post-tax basis up to 50 percent of eligible compensation.

  • Company matches 100 percent of employee pre-tax/Roth (401k) contributions up to six percent

  • Company contributes an additional three percent to 401(k) whether employee participates or not

  • Comprehensive health- and welfare-benefits package (including medical, dental, vision, and prescription drugs)

  • Health Savings Account start-up contribution for employees who elect the high deductible health plan

  • Flexible spending accounts for both Health Care and Dependent Care allowing employee to use pre-tax dollars to pay for qualified expenses during the calendar year

  • Employee assistance program offering 8 free counselling sessions, per issue, each calendar year for employees and their dependents

  • Company paid life insurance of 1x annual base pay ($50,000 minimum)

  • Company paid accidental death or dismemberment insurance of 2x annual base pay ($50,000 minimum)

  • Voluntary insurances offered at group rates: employee and dependent life insurance, AD&D insurance, critical illness, accident coverage, disability buy-up, and auto & home insurance

  • Tuition reimbursement and student loan support

  • Dependent Scholarship Programs

  • Free confidential personal financial counselling service

  • On-site health centers and 24/7 fitness centers at certain company locations

  • A charitable giving matching grants program that enables employees to direct and double their donations to qualifying charitable organizations of their choice

  • Health-care concierge service

  • Volunteer service opportunities

  • Extensive training opportunities

  • Company vehicle for eligible employees

  • Mobile phone allowance for eligible employees

  • Paid Leave:

  • Sick and Personal Time (exempt employees may be excused with pay for brief absences; non-exempt employees receive up to 6 days)

  • Vacation (levels Below Senior Director receive 15 days (pro-rated during first year of service); Senior Director and Officers receive 25 days (pro-rated during first year of service)).

  • Holidays (Nine company recognized and two annual personal holidays to be used at the employee’s discretion)

  • Paid Parental Leave + temporary reduced work schedule opportunity

  • Funeral Leave

  • Short-Term Disability Leave

  • Long-Term Disability Leave

  • Jury Duty Leave

  • Military Leave

  • Released Time for Children’s Education

  • Community Outreach Leave

  • Other paid leave benefits, as required by state or local law

  • Your journey with us is not limited by boundaries; it is propelled by your aspirations. Join us at Reynolds American and become a part of an environment that thrives on internal advancement, where your career progression is not just a statement – it is a reality, we are eager to build together. Seize the opportunity and own your development; your next chapter starts here.

  • You will have access to online learning platforms and personalized growth programs to nurture your leadership skills.

  • We prioritize continuous improvement within a transformative environment, preparing for ongoing changes.

Our organization offers a level of challenge, responsibility, and creativity for motivated employees who want to grow their careers. We are also committed to valuing different perspectives, experiences, and talents to improve the company's potential for optimally achieving its business objectives!

Reynolds American Inc. and its affiliated companies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other status protected by law. Only applicants requiring reasonable accommodation for any part of the application and hiring process should contact us directly via email at [email protected] .

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How this job compares

Set against the 1,762 open Data Science jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This postingNot listed
  • North Carolina median$127–220K/yr39 salary ranges
  • US median$25–40/hr103 hourly ranges
Openings
Olive Jobs lists 53 open Data Science jobs in North Carolina and 1,762 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in North Carolina
Experience
This posting asks for at least 5 years of experience; Data Science postings that state a minimum ask for 6 years at the median (1,418 postings).
Education
This posting asks for a bachelor's degree; 898 of the 1,762 open Data Science jobs (51%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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