Job Description:
JD for Analyst (DCF Level 20/25 at DGS)
Job Summary
We are looking for enthusiastic and sharp-minded fresh graduates to join our data team as Analyst/ Associates/ Software Engineer. This is an entry-level role designed to offer exposure across the data value chain — from data wrangling and engineering to analytics and predictive modeling.
You’ll work closely with product, engineering, and business teams to help solve real-world problems using data. Ideal for individuals who are passionate about uncovering insights, building scalable data pipelines, and developing machine learning models to drive decision-making.
Key Responsibilities
🔍 Data Analytics
- Analyze large volumes of structured and unstructured data to extract meaningful business insights.
- Create dashboards, visualizations, and reports using tools like Power BI, Tableau, or Excel.
- Support in identifying patterns, trends, and anomalies in data to support business decisions.
🧪 Data Science
- Assist in building, testing, and deploying machine learning models under supervision.
- Work with statistical and ML techniques for classification, regression, clustering, etc.
- Collaborate on experiments, hypothesis testing, and performance evaluation of models.
🏗️ Data Engineering
- Support in designing and building data pipelines and ETL processes.
- Assist in data cleaning, transformation, and storage using SQL, Python, or cloud platforms.
- Help maintain data integrity, quality, and documentation across data systems.
Qualifications
- Education:
Bachelor’s degree in Engineering, Computer Science, Data Science, Gen AI or related fields. Final-year students or recent graduates are welcome to apply. - Technical Skills:
- 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
- Familiarity with BI tools (e.g., Power BI, Tableau) or cloud platforms (e.g., AWS, GCP) is desirable
- 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
Location:
DGS India - Bengaluru - Manyata N1 BlockBrand:
MerkleTime Type:
Full timeContract Type:
ConsultantSkills Required
- Bachelor's degree in Engineering, Computer Science, Data Science, Gen AI or related fields
- Final-year students or recent graduates welcome
- 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
- Familiarity with BI tools (Power BI, Tableau) or cloud platforms (AWS, GCP)
- Knowledge of version control (Git)
- Curiosity, strong analytical and logical thinking, good communication and collaboration skills, willingness to learn
- 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
dentsu Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.
-
Parental & Family Support — Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
-
Leave & Time Off Breadth — Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
-
Retirement Support — A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.
dentsu Insights
What We Do
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. We are the network designed for what’s next
