Austria Job Openings
Coca‑Cola HBC Austria GmbH
Data Quality Analyst Lead -Data Governance and Data Quality
August 4, 2024
ABOUT YOUR NEW JOB
You will need to “Do the hands-on”: implement the data quality detection and remediation through automation and modern data science techniques with the best practices of solution building; “Live in agile with innovation DNA”: understand the iterative nature of data projects and welcome/embrace new AI solutions to ensure high satisfaction for our downstream data users; “Know the data on both sizes (business and technical)”: understand the business requirements of data quality and translate them to technical solutions; and “Make friends with stakeholders”: build and maintain strong relationships with a diverse group of stakeholders.
This work will require collaboration with multiple stakeholders and data users, including data curator, data engineers, data scientists, functional teams & functional data owners/data stewards, and other Data & Analytics leads part of DIA team.
YOUR NEW KEY RESPONSIBILITIES:
In this critical role, you will work with our functional data owners and data stewards to ensure the quality of data for all of our data users, comprising of the following responsibilities:
- Hands-on delivery:
- Apply suitable data science techniques to solve the data problems, support ideations, and early-stage data understanding with quality and efficiency <You don’t ask a friend to do the hyperparameter tuning for you or what will be the best model for the best cases >
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Contribute to improvement of our current Data quality tools and solutions <We are building solutions to check the quality of other’s works, so the quality and intelligence level of our works must be “sky high” with best practices of solution building >
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Lead as an example of Data Best practices and continue exploring opportunities for improvements and new learnings <No one living in a perfect world, but do you dare to challenge yourself and others to make things better, plus again we are building solutions to check the quality of other’s works, so the quality and intelligence level of our works must be “sky high”>
- Analysis and Translation with deep business understanding and stakeholder relationship:
- Understand the purpose and usage of the data of specific use cases with solid Explorative Data Analytics skills <Data is not just numbers, it has many meanings. So you should read and talk about data like you are reading and talking about your favorite books >
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Translate the business requirement from idea generation to realization and implementation with the strong Know-how of both sides of the data (Business and Technical) <Data is not just numbers, it is like languages, business talks data in the business way, tech talks data in the technical way, you must be bilingual>
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Deliver and sustain the data quality End-to-End solutions alongside the Data owners < all our data users together with data owners as their representative stakeholders, are you customer, talking about user centricity, you will be their best friends >
- People leadership:
- This role requires to lead and manage a team of top-notch smart data analyst and data scientists <You will need to win their hearts by “show your magic” and motivate them to “fly even higher” >
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Empowering the team by helping them to remove obstacles and lead the problem solving is the wining formular <Just delegating won’t lead you to the success>
ARE THESE YOUR SECRET INGREDIENTS?
- Previous experience working with CPG sector and its core datasets is a big plus
- Understand Agile Product Delivery (SAFE framework is preferred)
- Data Visualization: from simple Excel Histogram to Python Matplotlib to Power BI (Nice to have)
- Data platform: SQL DB, Data Warehouse, Datalake, Databricks
- Data wrangling and engineering skills: from simple Excel VLOOKUP to advanced ETL e.g. Python, SQL, Py Spark, plus not need to mention understand data model and do data modeling by yourself
- Working knowledge and experiences in data management
- Knowledge and experience working with data science or AI projects
- Proven track record of understanding business challenges and translating them into value-add and technically capable end solutions
- 3+ years of experience managing data science and data analytics team
- Master's degree preferred or degree emphasis in Computer Science, Engineering, or Data Science subjects with 5+ years of Data Analytics experience required
ABOUT YOUR NEW TEAM:
AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
WE ARE AN INCLUSIVE EMPLOYER
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