1 week ago

Senior Data Steward - Global Operations

Kraft Heinz

Amsterdam

1 week ago

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Senior Data Steward - Global Operations at Kraft Heinz in Amsterdam. You will organize data taxonomy, connections, and accuracy for Global Ops (Logistics) data sets, interacting with local teams globally to align definitions and metrics. Requires experience in Data Analytics, SQL, Python, Snowflake, and BI tools like Tableau.

HybridFull-timeSeniorSQLPython

Senior Data Steward - Global Operations

Apply

HybridFull-timeSeniorSQL

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid working model

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

SQLPythonSnowflakeTableauAgile

Soft Skills

social skillsownershipproblem solvingteamworkcommunication

Key Responsibilities

•Be the first point of contact for new developments and information requests in your data domain, coordinating with Data Engineers, product owners and local teams.
•Maintain a conceptual structure of data and formulas, design and recommend analytical approaches to improve business reporting and assure data quality.
•Be an agent of change using data, statistics, process and social skills to drive optimization of Global Manufacturing and Logistics data.
•Foster a positive environment, genuinely interested in the well-being and happiness of colleagues.
•Partner with Global and local teams on structuring large scale data sets and projects.
•Collaborate closely with vendors and cross-functional teams to drive insights and deliver projects globally.
•Liaise with internal and external partners to understand business peculiarities and develop data sets supporting analytics.
•Maintain a backlog of improvements and bugs, guide team members in resolving issues.

Senior Data StewardData StewardGlobal OperationsLogisticsAnalyticsSQLPythonSnowflakeTableauAgile

Key Responsibilities

•Be the first point of contact for new developments and information requests in your data domain, coordinating with Data Engineers, product owners and local teams.

•Maintain a conceptual structure of data and formulas, design and recommend analytical approaches to improve business reporting and assure data quality.

•Be an agent of change using data, statistics, process and social skills to drive optimization of Global Manufacturing and Logistics data.

•Foster a positive environment, genuinely interested in the well-being and happiness of colleagues.

•Partner with Global and local teams on structuring large scale data sets and projects.

•Collaborate closely with vendors and cross-functional teams to drive insights and deliver projects globally.

•Liaise with internal and external partners to understand business peculiarities and develop data sets supporting analytics.

•Maintain a backlog of improvements and bugs, guide team members in resolving issues.