Data Quality Analyst Lead -Data Governance and Data Quality
- +2
- +7
- Switzerland
- +2
- +7
- Switzerland
Über
Remote (Home Office)
Team: Data, Insights & Analytics (DIA)
Location: location free within Coca-Cola Hellenic countries
Contract: Permanent
As DQ Analyst lead with data governance and data quality focuses in the Data, Insights & Analytics (DIA) team, you will be responsible for implementing and executing Intelligent based data solutions to empower the business-led data governance initiatives to hold tight on the quality by working with X-function with good stakeholder relationships, also with the End to End view and understanding of modern data IT landscape and bring more innovation on top of them. And manage a professional data team (data analyst and data scientist) as an inspirational leader to keep the team motivated and continue to deliver innovative solutions for fast data quality detection and remediation.
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.
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:
-Apply suitable data science techniques to solve the data problems, support ideations, and early-stage data understanding with quality and efficiency
-Contribute to improvement of our current Data quality tools and solutions
-Lead as an example of Data Best practices and continue exploring opportunities for improvements and new learnings
- Analysis and Translation with deep business understanding and stakeholder relationship:
-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)
-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:
-Empowering the team by helping them to remove obstacles and lead the problem solving is the wining formular
- 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 PowerBI (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, PySpark, 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
AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
Including and celebrating different people and opinions is embedded in our growth story. We are committed to fostering diverse teams that reflect the communities we serve, and to creating an inclusive environment where everyone’s unique perspectives are valued and heard. By constantly building a diverse and inclusive workplace, we enrich our decision-making and provide ever more innovative solutions and shared value.
WE ARE AN INCLUSIVE EMPLOYER
We thrive on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
#J-18808-LjbffrWünschenswerte Fähigkeiten
- SQL
- Python
- ETL
- PySpark
- Data Modeling
- Data Management
- Data Science
Berufserfahrung
- Data Analyst
- Data Scientist
Sprachkenntnisse
- English