Data Analyst

Weekday AI; Mumbai; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

A technology consulting firm is looking for a skilled Data Analyst in Mumbai. The ideal candidate will have 3-5 years of experience in data analysis and machine learning, capable of transforming complex data into actionable insights and building predictive models. Responsibilities include analyzing datasets, developing machine learning models, and collaborating with stakeholders. Strong proficiency in programming languages such as Python or R, and SQL is required. The salary ranges from Rs 12,00,000 to Rs 20,00,000 annually.

Qualifications

• 3-5 years of experience in data analysis with hands-on experience in machine learning.
• Strong proficiency in programming languages such as Python or R.
• Proficiency in SQL for data extraction and manipulation.

Responsibilities

• Analyze large datasets to identify trends and insights.
• Develop and maintain machine learning models.
• Collaborate with stakeholders to translate requirements into analytical solutions.
• Design and build dashboards and reports for insights communication.

Skills

Data analysis

Machine learning

Python

SQL

Data visualization

Statistical analysis

Problem-solving

Education

Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, Data Science, or a related field

Tools

Scikit-learn

TensorFlow

PyTorch

Tableau

Power BI

Job description

This role is for one of the Weekday's clients

Salary range: Rs 1200000 - Rs 2000000 (ie INR 12-20 LPA)

Min Experience: 3 years

Location: Mumbai

JobType: full-time

We are looking for a detail-oriented and analytical Data Analyst with 3–5 years of experience and a strong foundation in Machine Learning. In this role, you will transform complex data into actionable insights and build predictive models that support strategic decision-making. You will work closely with cross-functional teams to identify opportunities, optimize processes, and deliver data-driven solutions that enhance business performance.

Key Responsibilities:

• Analyze large, complex datasets to identify trends, patterns, and insights that drive business outcomes
• Develop, implement, and maintain machine learning models for prediction, classification, and clustering tasks
• Perform data preprocessing, feature engineering, and model evaluation to ensure high-quality outputs
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions
• Design and build dashboards and reports to communicate insights effectively to both technical and non-technical audiences
• Monitor model performance and retrain models as needed to maintain accuracy and relevance
• Conduct A/B testing and statistical analysis to evaluate the impact of business strategies
• Ensure data integrity, quality, and governance across all data sources
• Stay updated with the latest advancements in machine learning and data analytics techniques

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field
• 3–5 years of experience in data analysis, with hands‑on experience in machine learning
• Strong proficiency in programming languages such as Python or R
• Experience with machine learning libraries and frameworks such as Scikit-learn, TensorFlow, or PyTorch
• Solid understanding of statistical analysis, probability, and data modeling techniques
• Proficiency in SQL for data extraction and manipulation
• Experience with data visualization tools such as Tableau, Power BI, or similar platforms
• Familiarity with data cleaning, transformation, and ETL processes
• Strong problem-solving skills and attention to detail
• Excellent communication skills with the ability to present complex data in a clear and concise manner

Preferred Qualifications:

• Experience working with big data technologies such as Hadoop or Spark
• Knowledge of cloud platforms like AWS, Azure, or Google Cloud
• Exposure to deep learning techniques and NLP is a plus
• Understanding of business intelligence and data warehousing concepts