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Data Analyst at Weekday AI
Bengaluru, karnataka, India -
Full Time

Start Date

Immediate

Expiry Date

22 Feb, 26

Salary

0.0

Posted On

24 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, SQL, Analytical Skills, Strategic Thinking, Data Analysis, Problem Structuring, Quantitative Methods, Communication Skills, Collaboration, Innovation, Data-Driven Insights, Hypothesis Development, Operational Feasibility, End-to-End Analysis, Adaptability, Time Management

Industry

technology;Information and Internet

Description
This role is for one of the Weekday's clients Min Experience: 2 years Location: Bengaluru JobType: full-time Responsibilities Identify key business challenges and areas for improvement, providing data-backed insights and recommendations. Develop structured hypotheses, design analytical frameworks, run tests, and evaluate operational feasibility. Execute end-to-end analysis — from scoping and data extraction to implementation and tracking outcomes of recommended actions. What to Expect Opportunity to apply and strengthen your analytical skills within a highly data-driven environment. Work in a fast-paced setting alongside a top-tier analytics team. Grow with a rapidly scaling organization, contributing to high-impact data initiatives. What We’re Looking For Strong coding skills, especially in Python (mandatory) and proficiency in writing SQL queries. Ability to independently manage analyses, adapt quickly to evolving requirements, and deliver actionable insights on time. Strong analytical and strategic thinking, with the ability to form hypotheses, structure problems, and apply rigorous quantitative methods. Self-driven mindset with a passion for innovation and using advanced analytical techniques to influence decision-making. A collaborative team player with excellent communication skills, comfortable working with cross-functional teams to deliver meaningful data insights.
Responsibilities
Identify key business challenges and areas for improvement, providing data-backed insights and recommendations. Execute end-to-end analysis from scoping and data extraction to implementation and tracking outcomes of recommended actions.