Data Analyst / Data Scientist

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 new 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 scientist role, preferably in a fast-paced or startup environment.
• Strong proficiency in SQL and Python for data manipulation and analysis.
• Experience building dashboards and visualizations using Tableau (or similar tools such as Power BI or Looker).
• Solid understanding of statistical methods and ability to apply them to real-world business problems.
• Strong analytical and problem-solving skills with attention to detail and accuracy.
• Excellent communication and collaboration skills, with the ability to present findings in a clear and concise manner.

Nice to Have:

• Exposure to machine learning techniques and libraries (e.g., scikit-learn, XGBoost, etc.).
• Experience working with cloud-based data platforms (AWS, GCP, or Azure).
• Familiarity with version control tools like Git and workflow automation tools like Airflow.