As Sr. DQ Analyst 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.
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.
Our new team member needs to:
- 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”>
- Implement the data standard and data quality rules, monitor the adoption level and be able to own the tooling and codes for changes and updates <This is not just a “click a button” type of job, you need to know what “behind-of-button” and own it >
- 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 >
You can be successful in this role if:
- Master's degree preferred or degree emphasis in Computer Science, Data Science, Statistics, or Data related subjects with min 4+ years of Data Analytics experience required
- A strong 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
- Hands-on experience with statistical methods, machine learning techniques and advanced AI algorithms
- Data Visualization: from simple Excel Histogram to Python Matplotlib to PowerBI (Nice to have)
- Proven track record of understanding business challenges and translating them into value-add and technically capable end solutions
- Understand Agile Product Delivery (SAFE framework is preferred)
- Previous experience working with CPG sector and its core datasets is a big plus
- Knowledge and experience working with Generative AI projects is a bigger plus
How we will support you:
- Learning opportunities: Working for a company with a complex business model encompassing production, logistics, sales, and marketing presents a unique learning opportunity for every finance professional. Additionally, we offer various training programs focusing on both hard and soft skills.
- International career opportunities: As a large and expanding company, we offer unique opportunities for role changes and enriching experiences and capabilities, including cross-functional transitions and international assignments.
- 4 unique core values: Customer first, We over I, Make it simple and Deliver sustainably form the foundation of a robust culture that enables continuous and sustainable growth.
- Competitive remuneration and social package;
- Hybrid home-to-office work environment, coupled flexible working time
About your new team:
We are a family of 33,000 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, we are an inclusive employer that thrives 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.
