Description
This role is for one of the Weekday's clients
Salary range: Rs 300000 - Rs 1200000 (ie INR 3-12 LPA)

Min Experience: 1 years
Location: Remote (India)
JobType: full-time

We’re looking for a passionate and detail-oriented Data Analyst / Data Scientist to join our growing analytics team. This role is perfect for someone who thrives on solving complex problems using data, loves diving deep into datasets, and has a strong command of analytical tools and programming languages.
As a Data Analyst / Data Scientist, you will play a crucial role in helping teams make data-driven decisions by uncovering actionable insights from structured and unstructured data. You’ll work closely with stakeholders across departments—such as product, marketing, and operations—to understand their challenges and deliver meaningful analysis and visualizations that guide strategy and execution.

Requirements
Key Responsibilities:
- Perform exploratory data analysis to identify trends, patterns, and opportunities within large datasets.




- Build and maintain dashboards and reports using Tableau to visualize KPIs, performance metrics, and other analytical outputs.
- Write efficient, well-structured SQL queries to extract, manipulate, and analyze data from various databases.
- Use Python to develop scripts and workflows for data cleaning, transformation, and predictive modeling.
- Collaborate with cross-functional teams to define data requirements and deliver insights to support business decisions.
- Interpret data and communicate results clearly and effectively to both technical and non-technical stakeholders.
- Participate in the development and improvement of data models, pipelines, and quality checks.
- Stay up-to-date with industry trends, best practices, and recent technologies in analytics and data science.

Requirements:
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
- 1–5 years of experience in a data analyst or data sci

📌 Data Analyst (India)
🏢 Weekday AI
📍 India