Weekday AI

Proactive software engineer recruitment via referrals

Data Analyst / Data Scientist

Data AnalysisConfirmed live in the last 24 hours

Full-timeRemote in India₹300k - ₹1.2MRemote

About the Job

Requirements

A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
One to five 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.
A solid understanding of statistical methods and the ability to apply them to real-world business problems.
Strong analytical and problem-solving skills with attention to detail and accuracy.
The ability to present findings clearly and concisely to technical and non-technical stakeholders.

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 supporting business decisions.
Interpret data and communicate results to technical and non-technical stakeholders.
Participate in developing and improving data models, pipelines, and quality checks.
Stay current with industry trends, best practices, and new technologies in analytics and data science.

Desired Qualifications

Exposure to machine learning techniques and libraries such as scikit-learn and XGBoost.
Experience working with cloud-based data platforms such as AWS, GCP, or Azure.
Familiarity with version control tools such as Git and workflow automation tools such as Airflow.

Data Analyst / Data Scientist

Weekday AI · India (Remote) · Full-time · Posted 2026-10-04

Salary: INR 300,000–1,200,000

Workplace: remote

Department: Weekday's Partner Client

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 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.

Apply

Apply at Weekday AI

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size: 201-500
Company stage: Seed
Total funding: $2.3M
Headquarters: Bengaluru, India
Founded: 2021

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