Hiring.Camp

Senior Data Steward - Consumption Data

Heinz is

·

Today

Location
Amsterdam, Netherlands
Workplace
Hybrid
Type
Full-time
Seniority
Senior
Source
Workday

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.

Recipe for Success: Apply if this sounds like you!

  • I have years of working experience, in a fast-paced environment in Data Analytics, and previous experience in working with Nielsen/Circana/Numerator Sell out data or other Global Sell out vendors and data sets.

  • I have a strong understanding of code languages for data manipulation including SQL, Python, and Snowflake.

  • I have a solid understanding of BI tools and recently worked on manipulating data for BI solutions, preferably PowerBI.

  • I have a solid understanding of semantic context for AI agents.

  • I have experience working in projects using Agile ways of working. I embrace the core principles of Agile and have clear understanding of its routines.

  • I have strong social skills, with the ability to understand the context and apply it to drive the analytics agenda.

  • I have knowledge of Company Financials, and an ability to read Company P&L and understand financial metrics (understand terms and how to calculate share, Price mix and other performance metrics).

  • I have a strong sense of ownership, and I'm committed to driving positive change even in challenging environments.

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!


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.

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.

Skills

PythonSQLSnowflakeAgile

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