Senior Data Visualization

WPP is the trusted growth partner for the world’s leading brands. 

We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. 
 
We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise.
 
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. 
 
For more information, visit WPP.com.
 

Why we're hiring:

We are looking for a skilled and passionate Data Visualization Expert to join our dynamic team. The ideal candidate will have deep expertise in SQL for data querying, along with strong experience in visualizing complex datasets into intuitive, interactive, and compelling visual representations. The role requires a strong understanding of data trends, patterns, and insights, paired with a creative approach to presenting data for business decision-making.

 The AOC is chartered to support automations that drive efficiency and effectiveness through the business, focusing on most impact for our shared interests. We serve the operational needs of GroupM and operating companies through process automation and other technology solutions.

You will have daily contact with business stakeholders from WPP Media and operating companies and must be comfortable working with business stakeholders directly. Our primary goal is to drive measurable business outcomes and grow our contribution, and we must earn our right to exist. This is a small, scrappy group. We all‘get our hands in the dirt’ and play multiple roles.

What you'll be doing:

• Data Analysis & Visualization:  
  
  
  
  • Design, build, and maintain visually compelling dashboards, reports, and charts using advanced visualization tools like Tableau, Power BI, etc.
  
  
  • Know how of when and how to design data model for effective Dashboards yielding higher efficiency and lesser loading time
  
  
  • Transform raw data into actionable insights by analysing trends and patterns and presenting them through intuitive visualizations.
  
  
  • Collaborate with business stakeholders to understand key metrics and create visual solutions that align with business objectives. 
  
  
  
  

• SQL Expertise:
  
  
  
  • Use SQL to extract, manipulate, and aggregate data from relational databases (e.g., MySQL, PostgreSQL, SQL Server, or similar).
  
  
  • Able to write SQL queries to prepare data for visualizations, ensuring the data is clean, accurate, and properly structured for analysis.
  
  
  • Optimize SQL queries for performance and efficiency in large datasets. 
  
  
  
  

• Data Integration & Transformation:
  
  
  
  •  Integrate data from multiple sources, including internal databases, APIs, and external systems, into cohesive visual reporting frameworks.
  
  
  • Perform data wrangling, transformation, and cleansing to ensure data quality and consistency. 
  
  
  
  

• Continuous Improvement:
  
  
  
  • Stay up to date with the latest trends in data visualization, SQL best practices, and data analytics tools.
  
  
  • Continuously improve visualizations based on user feedback and emerging business needs.
  
  
  
  

What you'll need:

Technical Skills: 

• Expertise in SQL for querying and manipulating relational databases (MySQL, PostgreSQL, SQL Server, etc.).


• Strong experience with data visualization tools (e.g., Tableau, Power BI)


• Proven Knowledge and Experience with DAX, MDX, etc


• Proficiency in Excel and other data manipulation tools


• Familiarity with ETL processes and data pipelines


• Experience with Python or R for advanced analytics (optional but a plus)

Problem-solving – proven experience dealing with technical blockers.

Analytical Skills:

• Ability to analyse complex data and identify key insights and trends


• Strong attention to detail, ensuring that data visualizations are accurate and insightful


• Understanding of data modelling and normalization principles

Education & Experience:

• Bachelor’s or master’s degree in computer science, Data Science, Statistics, Engineering, or a related field


• 7+ years of experience in Data Visualization, SQL , RDBMS, Large Dataset Modelling, Interactive Dashboards


• Experience working with large datasets and providing insights to drive business decisions –Data Telling a Story

Mandatory Qualifications/Certifications:

• Microsoft PL-300

Preferred Qualifications:

• Familiarity with cloud data platforms (e.g., AWS, Google Cloud, Azure(must))


• Experience with advanced data analytics and machine learning models (a plus)


• Knowledge of data warehousing concepts and technologies


• Familiarity with Agile methodologies

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 approach all that we do with confidence: 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 champion a culture of people that do extraordinary work

Scale and opportunity – we offer the opportunity to create, influence and deliver 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. 

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.