Job Description
Job Description
The Global Enterprise Data Management Team is looking for experienced and multifaceted Sr. Data Stewards for:
- ESG
- Logistics
- Supply Chain
- Homepanel
- Retailer Data
- Procurement Finance
- Supply Chain Finance
You'll be organizing the data taxonomy, connections and accuracy for the specified domain. Your main role will be to handling data sets 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 are going to report to the Enterprise Data Management Lead. The Sr. Data Steward will be accountable for looking after global data sets, formulas and mappings for the Global Sell out reports and models in the company. You will be challenged to find efficient ways to manage data sets, coordinate with teams to improve and ensure accuracy, align with senior team members on global objectives, maintain and implement improvements on data sources and automation.
What's on the Menu?
We are seeking a candidate who has strong experience in dealing with large data sets on a global scale, with a great ability to translate high level conversation to data manipulation and understanding in SQL. This individual should have a very sharp mind with capacity to easily grasp data concepts and formulas, as well as connect with other teams to reach an agreement on their representation. The ideal candidate will also have a successful track record of implementing data driven solutions for global problems. Experience in concepts of Revenue Management, pricing and CPG promotions are a nice to have for this role. True ownership, strong analytics, an eye for business are key characteristics to excel at this position.
Main Ingredients
• As Global Data Steward, 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 Rev Man, Sales , Finance and other teams on structuring large scale data sets and data projects.
• Collaborate closely with vendors and KHC teams from different commercial 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.
Recipe for Success: Apply now if this sounds like you!
• Bachelor or Master degree (MBA included). Preference computer science, statistics, data science, business
• Minimum 4 years of working experience, in a fast-paced environment, preferably in CPG environment and/or Sell out a Analytics, previous experience in working on with Neilsen/IRI/Numerator Sell out data or other Global Sell out vendors and data sets is valued.
• Strong understanding of code languages for data manipulation. SQL required, Snowflake and Python experience are helpful.
• Solid understanding on BI tools and recent work done on manipulating data for BI solutions, preferably tableau.
• Strong project management skills required, understand what to prioritize and follow through.
• Strong social skills, with the ability to understand the context and applying it to drive the analytics agenda.
• Familiarity and knowledge of Company Financials, ability to read Company P&L and understand financial metrics (understand terms and how to calculate share, Price mix and other performance metrics)
• Familiarity with systems like Snowflake, Tableau is recommended
• Strong ownership, committed to drive positive change even in challenging environments
• Language: fluent in English
What do we bring to the table?
• An ambitious employer, we're looking for the best for you
• A competitive salary
• Always room for new insights; if you have an excellent idea, please let us know and we can set it in action!
We hope to find you a seat at our table!
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.
What We Do
At the heart of this journey is our ambition to create an enterprise where powerful AI solutions augment humans and where small mission-based teams are in relentless pursuit to solve tangible problems for our consumers, customers, and the enterprise. That ambition requires us to create a modern cloud and data ecosystem - a one of its kind that becomes the neural network of our company. We want you to bring your tech-self to us. We use Python, R, Spark, React, Tableau, Snowflake, Azure, and others to solve the problem on hand. In-turn, you can look forward to high-impact challenges, no bureaucracy, entrepreneurial small teams, and a unique opportunity to create and build something bold, awesome, and impactful – all while honoring our 150-year heritage and a portfolio of 200 iconic and emerging brands!
Why Work With Us
Our ambition is to become a best-in-class Digital leader by making data-driven investments that drive smarter business decisions. You’ll invent the next wave of augmented intelligence products where software & humans work side-by-side to rethink every aspect of our company. You’ll make an imprint & leave your legacy on every part of our business.
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Kraft Heinz Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We also believe providing a more flexible and agile model is essential in today’s workplace. A majority of our office-based employees will be able to work remotely for up to two days each week.