Data Quality Analyst at WPP

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

0.0

Posted On

25 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Quality, SQL, Data Analysis, ETL, Data Warehousing, Data Modelling, Microsoft Excel, Power BI, Tableau, Python, Data Governance, Problem Solving, Communication, Collaboration, Attention to Detail, Proactive Mindset

Industry

Advertising Services

Description

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients, and communities. Working at WPP means being part of a global network of more than 100,000 talented people dedicated to doing extraordinary work for our clients. We operate in over 100 countries, with corporate headquarters in New York, London and Singapore. WPP is a world leader in marketing services, with deep AI, data and technology capabilities, global presence and unrivalled creative talent. Our clients include many of the biggest companies and advertisers in the world, including approximately 300 of the Fortune Global 500. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. Why we're hiring: We are seeking a meticulous and detail-oriented Data Quality Analyst to join our Customer Success team. In this critical role, you will be the guardian of our data's integrity, ensuring that the information flowing through our data platform is accurate, reliable, and trustworthy. You will play a vital part in the data lifecycle, from ingestion and transformation to its final storage, making sure our stakeholders can confidently use our data to drive decisions. What you'll be doing: Develop and Implement Data Quality Checks: Work with Data Engineers and Business Analysts to define, create, and implement data quality rules and validation checks at various stages of our ETL/ELT pipelines. Monitor and Report on Data Quality: Proactively monitor the health of our data pipelines and datasets. Develop and maintain data quality dashboards (using tools like Power BI or Tableau) to provide clear visibility into data accuracy, completeness, and timeliness. Investigate and Resolve Data Issues: Act as the first line of defense for data-related issues. Investigate data anomalies, perform root cause analysis to identify the source of errors, and collaborate with the engineering team to drive resolution. Maintain Data Quality Documentation: Create and maintain a central repository of data quality rules, standards, and metrics. Document data issues and their resolutions to build a knowledge base for the team. Collaborate with Cross-Functional Teams: Work closely with the Data Architect, Data Engineers, and downstream data consumers (like the Value Measurement and Customer Insights squads) to understand their data needs and ensure quality standards meet their requirements. What you'll need: Experience: 2-4 years of hands-on experience in a data quality, data analysis, business analysis, or a similar role focused on data integrity. Education: A bachelor’s degree in information technology, Computer Science, Business, or a related field. Technical Skills: Strong proficiency in SQL is essential for querying data and performing validation. Solid experience with Microsoft Excel for data analysis and reporting. A strong conceptual understanding of ETL/ELT processes, data warehousing, and data modelling. Preferred Skills (A Plus): Experience with data visualization tools like Power BI or Tableau for creating dashboards. Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks). Basic scripting skills in a language like Python for automating checks. Experience with specific data quality or data governance tools. You're Good At: Meticulous Attention to Detail: You have a keen eye for spotting inconsistencies and errors in large datasets. Problem-Solving: You are a natural detective, skilled at tracing issues back to their source and thinking critically about solutions. Clear Communication: You can clearly and concisely explain technical data issues to both technical and non-technical team members. Collaboration: You are a strong team player who enjoys working with different roles to achieve a common goal. Proactive Mindset: You don't wait for problems to find you; you actively look for ways to improve data quality and prevent future issues. Who you are: You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day. What we'll give you: Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge? #LI-Onsite We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.

Responsibilities

The Data Quality Analyst will ensure the integrity of data flowing through the platform by developing and implementing data quality checks, monitoring data health, and resolving data issues. This role involves collaboration with cross-functional teams to maintain high data quality standards.