Data Quality Analyst Lead

Team: Data, Insights & Analytics (DIA)

Location: location free within Coca-Cola Hellenic countries

Contract: Permanent

ABOUT YOUR NEW JOB

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.

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

-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 >

-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

-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>

-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” >

-Empowering the team by helping them to remove obstacles and lead the problem solving is the wining formular

ARE THESE YOUR SECRET INGREDIENTS?

• Master's degree preferred or degree emphasis in Computer Science, Engineering, or Data Science subjects with 5+ years of Data Analytics experience required
• 3+ years of experience managing data science and data analytics team
• Proven track record of understanding business challenges and translating them into value-add and technically capable end solutions
• Knowledge and experience working with data science or AI projects
• Working knowledge and experiences in data management
• 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
• Data platform: SQL DB, Data Warehouse, Datalake, Databricks
• Data Visualization: from simple Excel Histogram to Python Matplotlib to PowerBI (Nice to have)
• Understand Agile Product Delivery (SAFE framework is preferred)
• Previous experience working with CPG sector and its core datasets is a big plus

ABOUT YOUR NEW TEAM:

We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC – one of the world’s largest bottlers and partner of The Coca-Cola Company. Our every day mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve.

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.