Data Analyst
The Data Analyst will join the commercial vertical at Fortunize India to support loan origination, underwriting, and portfolio management. The role involves designing and maintaining operational dashboards, tracking KPIs, and collaborating with cross-functional teams to drive data-informed decisions. Candidates should have a strong background in SQL, data visualization tools, and experience with Python or R for analysis. This role is essential for maintaining data integrity and improving operational efficiency within the company's lending platform.
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Experience
3+ years
Function
Research
Work mode
Onsite, India
Company
Tier 2
What you will work on
The Data Analyst will join the commercial vertical at Fortunize India to support loan origination, underwriting, and portfolio management. The role involves designing and maintaining operational dashboards, tracking KPIs, and collaborating with cross-functional teams to drive data-informed decisions. Candidates should have a strong background in SQL, data visualization tools, and experience with Python or R for analysis. This role is essential for maintaining data integrity and improving operational efficiency within the company's lending platform.
TAL's take
Solid mid-level role in the lending domain with clear, well-defined responsibilities, though company brand is not globally recognized.
The JD is crisp, provides clear responsibilities, and specifies the necessary tech stack for a focused data analyst role.
Must haves
- Bachelor’s degree in a quantitative field
- 3+ years of relevant experience in data analysis or business intelligence
- Strong SQL skills
- Proficiency with data visualization tools
- Experience with Python or R for data manipulation
- Familiarity with small business lending workflows
Tools and skills
About the company
Unfamiliar company in the lending/fintech space, default mid-tier assigned.
Posts mentioning FORTUNIZE INDIA TECHNOLOGY SOLUTIONS PRIVATE LIMITED
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Please help me choose 1 among these offers. Offer 1: Major Indian ecommece startup (IPO expected in 2 years) Base- 66 Bonus- 10 ESOPs- 42 over 4 years (~10 per year) Annual TC- 86 Offer 2: US based Fortune 1000 (IPO in 2018) Base- 54 Annual RSU- 29 Signon Bonus- 8 Annual TC- 91 (1st year), 83 (2nd year onwards) Getting inclined towards the 1st offer owing to nature of its interesting work and a base heavy component. Additionally the share prices of the public company has fallen 80% from its ATH in 2021. #data #datascience #dataanalytics
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I've had the fortune of working on some major client accounts, but lately i feel our leadership has completely lost the plot with work hours. We were fixing a deck till 2 AM, and the director literally said "great hustle, let's connect at 8 AM sharp for a fresh review". We end up just staying around on our laptops, passing time on meaningless formatting, when we could have just slept. Needs to be fixed, it's the sign of a major problem in the workforce Thoughts?