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Weekday AI

Data Analyst

Weekday AI Bengaluru, Karnataka, India

Technology, Information and Internet · 11-50 employees

8 h ago
data-analyst Senior (5-10 yrs) Full-time India
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About the role

The role involves analyzing data assets to uncover high-value use cases and testing product-market fit. You will collaborate with product teams to interpret user behavior and track engagement trends across client segments.

What they look for

Data Analytics Fintech Data Science Python Product Analytics Large Datasets Data Structuring User Behavioral Segmentation Numerical Ability Problem-solving Reporting Stakeholder Communication B2B SaaS Data-tech

Requirements

Candidates must have a bachelor's or master's degree in Engineering or Computer Science. A minimum of 5-6 years of experience in data analytics, specifically within Fintech or B2B SaaS environments, is required.

Full description

This role is for one of Weekday’s clients Salary range: Rs 2400000 - Rs 3600000 (ie INR 24 - 36 LPA)

Min Experience: 4+ years Location: Bengaluru JobType: full-time

In this role, you will help us maximize the value of our extensive data ecosystem, by evaluating Product-Market fit, and finding new ways to distribute our data assets. You will analyse user behavior on the platform to strengthen our Value Added Services (VAS) and help unlock the full commercial potential of our data.

Responsibilities:

  • Analyse our existing data assets to uncover high-value use cases, test Product-Market Fit and

identify new market needs

  • Collaborate closely with the Business and Product team to explore and recommend new ways

to deliver our data

  • Interpret user behaviour to understand how they query corporate entities, directors’ details,

or financial information on the platform

  • Map critical workflows from initial login to final data export
  • Track engagement trends across different client segments (banks, NBFCs, corporates) to

identify usage variations

  • Flag anomalies in usage patterns that may indicate data quality issues or churn risk
  • Prepare clear, well-structured reports and presentations to communicate findings and

recommendations to stakeholders  

Skills:

  • Strong analytical and numerical ability for drawing insights from complex data
  • Proficiency in working with large datasets, data structuring, and user behavioral segmentation
  • Attention to detail, accuracy, and a data-driven problem-solving mindset

 

Qualifications and Experience:

  • Bachelor’s or Master’s degree in Engineering, Computer Science or a related field
  • 5-6 years of experience in data analytics, preferably in Fintech, B2B SaaS, Data-tech platforms

 

Must-have skills

Data Analytics, FinTech, Data Science with python

Good-to-have skills

Data Analysis, product analytics, large datasets

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