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Senior Analyst, eCommerce Business Analytics

Kraft Heinz

Senior Analyst, eCommerce Business Analytics

full-timePosted: Aug 4, 2026Updated: Sep 3, 2026USA, Virtual

Job Description

Job DescriptionThe eCommerce Business Analytics team is an integral part of the eCommerce & Customer Marketing team. This individual will collaborate with key cross-functional partners to improve the strategy, insights, and analytics and work to integrate important analytical projects into the business.Essential Functions & Responsibilities Analyze overall business health performance, acquire a deep understanding of business performance and correlations, and provide detailed performance insights to cross-functional teams to drive the business. Develop and communicate diagnostics to aid in business health initiatives planning.Help with process improvement to ensure manual reporting and monitoring are being actioned and driving performance in marketParticipate in cross-functional continuous improvement projects in eCommerce analytics. Ability to influence will be instrumental, as well as attention to detail.Creating appropriate documentation and training that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary.Collaborating with sales, marketing, engineers, and organizational leaders to identify opportunities for process improvements, recommended system modifications and development policies for data governance.Expected Experience & Required Skills 3+ years proven experience in Data Science, Analytics, Strategy, or a related field. Consumer packaged goods experience is preferred.Leadership skills to manage project from beginning to end without the need for oversight.Advanced in Excel and ability to develop complex reporting using multiple datasets. Technical proficiency in SQL, R, Python preferred.Strong communication, project management, and collaboration skills.Ability to tell a story, leveraging data and insights.Ability to think strategically about the information that will help stakeholders make data-driven business decisions and to communicate the value of this information effectively.Comfort with unstructured data.Our Total Rewards philosophy is to provide a meaningful and flexible spectrum of programs that equitably support our diverse workforce and their families and complement Kraft Heinz’ strategy and values.New Hire Base Salary Range:$89,800.00 - $112,200.00Bonus: This position is eligible for a performance-based bonus as provided by the plan terms and governing documents.The compensation offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factorsBenefits: Coverage for employees (and their eligible dependents) through affordable access to healthcare, protection, and saving for the future, we offer plans tailored to meet you and your family’s needs. Coverage for benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.Wellbeing: We offer events, resources, and learning opportunities that inspire a physical, social, emotional, and financial well-being lifestyle for our employees and their families.You’ll be able to participate in a variety of benefits and wellbeing programs that may vary by role, country, region, union status, and other employment status factors, for example:Physical - Medical, Prescription Drug, Dental, Vision, Screenings/AssessmentsSocial - Paid Time Off, Company Holidays, Leave of Absence, Flexible Work Arrangements, Recognition, TrainingEmotional – Employee Assistance Program , Wellbeing Programs, Family Support ProgramsFinancial – 401k, Life, Accidental Death & Dismemberment, DisabilityLocation(s)Employee's Home - GeoKraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes. In order to ensure reasonable accommodation for protected individuals, applicants that require accommodation in the job application process may contact NAZTAOps@kraftheinz.com for assistance.

Locations

  • USA, Virtual

Skills Required

  • Data Scienceintermediate
  • SQLintermediate

Required Qualifications

  • 3+ years proven experience in Data Science, Analytics, Strategy, or a related field. Consumer packaged goods experience is preferred. (experience, 3 years)
  • Leadership skills to manage project from beginning to end without the need for oversight. (experience)
  • Advanced in Excel and ability to develop complex reporting using multiple datasets. Technical proficiency in SQL, R, Python preferred. (experience)
  • Strong communication, project management, and collaboration skills. (experience)
  • Ability to tell a story, leveraging data and insights. (experience)
  • Ability to think strategically about the information that will help stakeholders make data-driven business decisions and to communicate the value of this information effectively. (experience)
  • Comfort with unstructured data. (experience)

Responsibilities

  • Analyze overall business health performance, acquire a deep understanding of business performance and correlations, and provide detailed performance insights to cross-functional teams to drive the business. Develop and communicate diagnostics to aid in business health initiatives planning.
  • Help with process improvement to ensure manual reporting and monitoring are being actioned and driving performance in market
  • Participate in cross-functional continuous improvement projects in eCommerce analytics. Ability to influence will be instrumental, as well as attention to detail.
  • Creating appropriate documentation and training that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary.
  • Collaborating with sales, marketing, engineers, and organizational leaders to identify opportunities for process improvements, recommended system modifications and development policies for data governance.

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