Senior Data Steward - Consumption Data

Kraft Heinz

Amsterdam

Hybrid

EUR 70,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Hybrid working model
Competitive salary
Room for ideas

Job summary

Kraft Heinz is seeking a Senior Data Steward for Consumption Data to organize taxonomy, connections and accuracy across global Sell out data sets. You will coordinate with Data Engineers, product owners and local teams to align definitions and metrics, ensuring data quality and accurate reporting across markets.

You will manage global data sets, formulas and mappings for Sell out reports and models, partnering with Revenue Management, Sales, Finance and other teams to structure large data

Qualifications

  • Experience with data governance concepts and data quality practices.
  • Strong communication and stakeholder management skills.

Responsibilities

  • Organize data taxonomy, connections and accuracy for Commercial Syndicated data sets.
  • Coordinate with Data Engineers, product owners and local teams to align definitions and metrics.
  • Translate business requirements into implemented data stories with developers and data engineers.
  • Look after global data sets, formulas and mappings for Global Sell out reports and models.

Job description

Job Description
Senior Data Steward - Consumption Data at a glance ...

You’ll be organizing the data taxonomy, connections and accuracy for our Commercial Syndicated data sets. Your main role will be to handling Sell out data sets (understanding metrics like Sales Values, Pricing, Promotions, Displays, Market Share, Distribution …) across the organization, interacting with local teams globally to align definitions and metrics inside data sets, coordinating with developers and data engineers to translate business requirements into implemented stories. You will be accountable for looking after global data sets, formulas and mappings for the Global Sell out reports and models in the company.

Key Ingredients
  • Be the first point of contact for any new developments and information request in your data domain. You will coordinate with Data Engineers, product owners and local teams to address their requests.
  • Maintain a conceptual structure of data and formulas used, design and recommend appropriate analytical approaches to improve business reporting and assure data quality.
  • Be an agent of change into Kraft Heinz Company organization, using data, statistics, process and social skills to move different partners towards the goal of optimization of usage Global Sell out data.
  • Chief a positive environment into your team, genuinely interested in the well‑being and happiness of your colleagues.
  • Partner with Kraft Heinz' Global and local Revenue Management, Sales, Finance and other teams on structuring large scale data sets and data projects.
  • Collaborate closely with vendors and KHC teams from different functional areas in each country to drive insights and deliver projects globally.
  • Liaison with internal and external partners to understand their business peculiarities and develop and implement data sets that will support analytics on their business.
  • Maintain a backlog of desired improvements and bugs. Guide team members in solving the backlog issues and develop improvements.
What We Offer You / You Deserve
  • An ambitious employer: we want the best for you
  • A competitive salary and comprehensive benefits package
  • Hybrid working model
  • Always room for new ideas; if you have an excellent idea, please let us know, and we can set it in action!
Location(s)

Amsterdam

Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.

We hope to find you a seat at our table! We grow our people to grow our business. We develop extraordinary people who bring ambition, curiosity, and dedication to the table as the guardians of our beloved and nostalgic brands. We choose greatness every day by challenging the ordinary and making ambitious decisions.

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