Job Location: Bangalore
About us
At Happay, we are on a mission to provide businesses the simplest, one stop solution to meet all their
travel & expense management needs. Our industry-leading technology solution is used by over 6500+
customers across 40+ industry verticals and includes conglomerates like PWC, the Tata Group, the
Landmark Group, Well-spun, Jubilant Food-works and many more.
Funded by Sequoia Capital and Prime Venture Partners, we are a team of 250+ based out of Bangalore.
We’ve won the CIO Choice Award and Technoloviti Award for the Best Expense Management Solution
for two years in a row now (2019 & 2020). Deloitte Technology Fast 50 Award (2020) is the recent
accolade in our kitty. Besides expanding our dominance in the Indian market, we are also gearing to
launch our solution in the international markets very soon. We are looking for folks who are interested in
a high-impact role, and are able to jump in right away to help us scale Happay to the next level of
growth.
ROLE : Data Analyst
YEARS OF EXPERIENCE : 0-2 years
Responsibilities and Duties :
Work closely with project managers to understand and maintain focus on their analytical needs,
including identifying critical metrics and KPIs, and deliver actionable insights to relevant
decision-makers
Proactively analyse data to answer key questions from stakeholders
Create and maintain rich interactive visualisations through data interpretation and analysis
integrating various reporting components from multiple data sources
Define and implement data acquisition and integration logic, selecting appropriate combination
of methods and tools within defined technology stack to ensure optimal scalability and
performance of the solution
Skills and Qualifications:
- Bachelor’s degree in Mathematics, Computer Science, Economics, or Statistics
- 1+ year experience as a data analyst
- Proven analytic skills, including mining, evaluation, analysis, and visualisation
- Technical writing experience in relevant areas, including queries, reports, and presentations
- Strong SQL and Excel skills
Job Type: Full-time
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