Associate Data Analyst

Dentsu

Operating in over 145 markets worldwide with more than 66,000 dedicated specialists and partnering with 95 of the top 100 global advertisers our collective vision is to be at the forefront of people-centred transformations that shape society.

Associate Data Analyst

Key Responsibilities:

• Cleanroom Data Strategy:

  Work with

  data cleanrooms

  (e.g., Google Ads Data Hub, Meta Advanced Analytics) to ensure privacy-compliant analysis and extract audience, campaign, and conversion insights.

• Client Engagement:

  Build and maintain strong client relationships, understand business needs, and deliver tailored analytical solutions.

• SQL-Based Analysis:

  Write, optimize, and maintain

  SQL queries

  for efficient data extraction, transformation, and visualization.

• Media Platform Analytics:

  Analyze and interpret data from digital media platforms such as

  Google Ads, DV360, CM360, and Meta Ads Manager

  to uncover trends, optimize spend, and drive business decisions.

• Cross-functional Collaboration:

  Partner with internal product, strategy, and marketing teams to align analytics with business objectives and help scale practice areas.

• Insight Communication:

  Translate complex analytical outputs into actionable insights and present findings clearly to both technical and non-technical stakeholders.

• Innovation & Best Practices:

  Contribute to the development of

  reusable frameworks, templates, and workflows

  for cleanroom analytics and media measurement.

Technical Skills Required:

• SQL Proficiency(Preferred):

  Strong ability to build complex queries, aggregate large datasets, and perform data wrangling and transformation.

• Media Platform Expertise:

  Hands-on experience with tools such as

  Google Ads, CM360, DV360, Meta Ads Manager

  .

• Cleanroom Knowledge (Preferred):

  Familiarity with cleanroom platforms such as

  Google Ads Data Hub (ADH)

  or

  Meta Advanced Analytics

  .

• Python (Preferred):

  Basic to intermediate knowledge of Python for data manipulation and analysis.

• Visualization Expertise(Preferred):

  Strong hands on experience with Visualization tools like PowerBI, Looker Studio etc.
• Experience in working with other programming languages like R, JS etc.

Non-Technical Skills Required:

• Communication:

  Excellent verbal and written communication to distill insights and deliver client-ready presentations.

• Client Management:

  Strong interpersonal skills to engage with clients, handle queries, and co-develop solutions.

• Analytical & Logical Thinking:

  Ability to translate business problems into data questions and deliver strategic recommendations.

• Team Collaboration:

  A collaborative mindset to work with cross-functional teams across product, data, and strategy.

• Adaptability:

  Comfortable operating in a fast-paced, evolving analytics landscape with multiple stakeholders.

Preferred Qualifications:

• 1–4 years of experience in digital media analytics, data analysis, or similar roles.
• Experience working with agency, consultancy, or directly in brand analytics teams.
• Exposure to marketing effectiveness measurement such as lift studies, incrementality, or MMM is a plus.

Become a champion for meaningful progress:

Our diverse and inclusive culture enables our employees to bring their whole selves to work and be proud of doing so. For us, this is the foundation for great innovation which, in turn, generates better outcomes for our people, partners and communities. This is why we encourage applications from people with disabilities, and of all ages, nationalities, backgrounds and cultures.

If you want to belong to a one global network where opportunities are limitless – we look forward to welcoming you.

Sound exactly like the sort of role for you? Apply now!!!