Senior Data Analyst

Kissht; Mumbai; On-site; INR 900,000 - 1,350,000; Full time

Job summary

Kissht in Mumbai is seeking a data-focused professional to extract, clean, and analyze large datasets, and to develop dashboards. You will collaborate with cross-functional teams to improve data accuracy and support strategic decisions.

You will work with Python, SQL, and Tableau, applying analytical thinking and data storytelling to drive customer segmentation, risk analysis, and AI-enabled product ideas. This role is on-site in Mumbai.

Qualifications

• Bachelor’s or Master’s degree in a relevant field.
• Proficiency in Python for statistics, ML, and EDA with Pandas/NumPy/Matplotlib/Seaborn/scikit-learn.
• Expert-level SQL for data extraction and transformation.
• Exposure to Tableau for dashboards and insights.
• Strong analytical thinking and data storytelling.
• Experience with ML, DL, and NLP is preferred.
• Excellent communication skills.

Responsibilities

• Extract, clean, and analyze large datasets to identify patterns and trends.
• Develop and maintain dashboards and reports to monitor business performance.
• Work with cross-functional teams to improve data accuracy and accessibility.
• Drive data strategy, customer segmentation, and portfolio risk analysis.
• Contribute to AI-driven product innovations.

Skills

Python

SQL

Tableau

Data storytelling

Analytical thinking

Communication

Education

Bachelor's/Master's in data science or related field

Tools

Pandas

NumPy

Matplotlib

Seaborn

scikit-learn

Apache Airflow

AWS

GCP

Job description

Job Snapshot

Updated Date

14-11-2025

Job ID

Job_704

Department

Responsibilities

• Extract, clean, and analyze large datasets to identify patterns and trends.
• Develop and maintain dashboards and reports to monitor business performance.
• Work with cross-functional teams to improve data accuracy and accessibility.
• Drive data strategy, customer segmentation, and portfolio risk analysis.
• Contribute to AI-driven product innovations.

Required skills and Qualifications:

• Education: Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
• Proficiency in Python for statistical modeling, ML algorithms, and exploratory data analysis, with hands‑on experience in libraries such as Pandas, NumPy, Matplotlib, Seaborn, and scikit‑learn.
• Expert‑level SQL capabilities for querying relational databases and performing data extraction and transformation.
• Exposure to Tableau for developing dashboards and generating business insights.
• Strong analytical thinking, with a focus on problem synthesis, root cause analysis, and data storytelling.
• Experience with machine learning, deep learning, and natural language processing (NLP) is preferred.
• Strong communication and storytelling skills.

Optional Familiarity With:

• Apache Airflow for data workflow automation.
• Cloud computing platforms (AWS, GCP).