Data Quality Analyst Lead at Coca-Cola

Role Purpose

• 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, 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 technical 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 “Know the data on both sizes (business and technical)”: understand the business requirements of data quality and translate them to technical solutions; “Do the hands-on”: implement the data quality detection and remediation through automation and modern data techniques; and “Live in agile with innovation DNA”: understand the iterative nature of data projects and welcome/embrace the changes to ensure high satisfaction for our downstream data users.
• 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 (60-70%):

• Apply suitable data wrangling techniques to solve the data problems, support ideations, and early-stage data understanding with quality and efficiency
• Have you done any scripting/coding for data querying/blending by yourself and to what level?
• 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
• Contribute to the innovation and 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 (30-40%):

• 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)
• 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, are you customer, talking about user centricity, you will be their best friends >
• Work with a multidisciplinary team (Data Scientist, Insights Expert, Data Engineer, Data Curator, incl. Vendors) with strong problem-solving skills, e.g. Active listening, Research, Creativity, Communication, etc.

Requirements
Are these your secret Ingredients?

• Master's Degree preferred or Degree emphasis in Computer Science, Engineering, or Data related subjects with min 6+ years of Data Analytics experience required
• 2+ years of experience managing or coordinating technical data team
• Proven track record of understanding business challenges and translating them into value-add and technically capable end solutions
• 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
• 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
• Knowledge and experience working with data science or AI projects is a bigger plus.