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
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Analyze large volumes of structured and unstructured data to extract meaningful business insights.
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Create dashboards, visualizations, and reports using tools like Power BI, Tableau, or Excel.
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Support in identifying patterns, trends, and anomalies in data to support business decisions.
Data Science
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Assist in building, testing, and deploying machine learning models under supervision.
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Work with statistical and ML techniques for classification, regression, clustering, etc.
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Collaborate on experiments, hypothesis testing, and performance evaluation of models.
️ Data Engineering
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Support in designing and building data pipelines and ETL processes.
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Assist in data cleaning, transformation, and storage using SQL, Python, or cloud platforms.
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Help maintain data integrity, quality, and documentation across data systems.
Qualifications
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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:
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Strong foundation in Java, React, NodeJS, Python, SQL, and Excel
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Basic understanding of data structures, databases, and algorithms
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Exposure to pandas, NumPy, PySpark, scikit-learn, GenAI, Agentic AI or TensorFlow is a plus
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Familiarity with BI tools (e.g., Power BI, Tableau) or cloud platforms (e.g., AWS, GCP) is desirable
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Knowledge of version control (Git) is an advantage
Soft Skills
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Curiosity and a passion for data-driven problem solving
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Strong analytical and logical thinking
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Good communication and collaboration skills
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Willingness to learn in a fast-paced environment
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Ability to break down complex problems and document clearly
Preferred (Good to Have, Not Mandatory)
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Internship or academic project in data analytics, machine learning, or database systems
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Participation in hackathons, coding contests, or Kaggle competitions
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Exposure to Agile or collaborative tools like JIRA, Confluence
What You’ll Gain
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Hands-on experience across analytics, data science, and engineering tracks to solve critical Business problems.
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Opportunity to work on live projects and scalable systems
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Mentorship from experienced data professionals
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Career pathways in analytics, data science, GenAI, Agentic AI or data engineering based on your interest and skills
Location:
DGS India - Bengaluru - Manyata N1 Block
Brand:
Merkle
Time Type:
Full time
Contract Type:
Consultant
