dentsu – Analyst
Job Description
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity.
🚨 Before You Apply: Your Resume Needs to Shine!
Did you know? 75% of applications get rejected before reaching a human recruiter – all because of poorly formatted resumes that fail ATS scans!
🔥 Get Interview-Ready in Minutes with Our Professionally Designed Resume Templates!
✅ 5+ ATS-Friendly Designs – Beat the bots and get noticed
✅ Recruiter-Approved Layouts – Highlight your skills the right way
✅ Easy-to-Edit (Word & Google Docs) – No design skills needed
✅ Free Bonus: Cover Letter Template + Resume Writing Guide
🎁 Limited-Time Offer: Get yours for just ₹249 (originally ₹999)
📥 Instant Download – Apply to Google with confidence today!
👉 Grab Your Resume Template Now: Tap Here to get your resume Templates
Responsibilities
Our Analyst is curious and self-driven to maintain, optimize and build additional components to multi-terabyte operational marketing databases and integrate them with cloud technologies. Once hired, the qualified candidate will be immersed in the monitoring and maintenance of Microsoft SQL Server database solutions to meet client business objectives. You will have an opportunity to work with a cross-disciplinary team.
Strong foundation in Java, React, NodeJS, Python, SQL, and Excel
Basic understanding of data structures, databases, and algorithms
Exposure to pandas, NumPy, PySpark, scikit-learn, GenAI, Agentic AI or TensorFlow is a plus o Familiarity with BI tools (e.g., Power BI, Tableau) or cloud platforms (e.g., AWS, GCP) is desirable o Knowledge of version control (Git) is an advantage Soft Skills
Curiosity and a passion for data-driven problem solving
Strong analytical and logical thinking
Good communication and collaboration skills
Willingness to learn in a fast-paced environment
Ability to break down complex problems and document clearly Preferred (Good to Have, Not Mandatory)
Internship or academic project in data analytics, machine learning, or database systems
Participation in hackathons, coding contests, or Kaggle competitions
Exposure to Agile or collaborative tools like JIRA, Confluence What You’ll Gain
Hands-on experience across analytics, data science, and engineering tracks to solve critical Business problems.
Opportunity to work on live projects and scalable systems
Mentorship from experienced data professionals
Career pathways in analytics, data science, GenAI, Agentic AI or data engineering based on your interest and skills
