Data Analyst

2 years

0 Lacs

Posted:6 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About Helium


After chasing brokers, navigating fake listings, and being asked for 10-month deposits — most renters settle. Not because they want to, but because the system gives them no real choice.


At Helium, we’re rebuilding that system from scratch.


We’re creating a platform with gated, high-quality homes, from handpicked, trustworthy homeowners — and where tenants get 100% available listings, anytime visits, and just 1- month deposit, not ten. Where trust isn’t a lucky break, but the default setting. Meanwhile, homeowners get guaranteed rent within 10 days, vetted tenants, and a partner who treats their home like their own.


This isn’t just a better rental experience. It’s an ecosystem change — one being built by a team of operators from Zomato, Stanza Living, and CRED, and backed by founders of Blinkit, CRED, Zomato, and Stanza.


Role Overview


We’re looking for a detail-oriented analyst to join our founding team at Helium. You’ll work directly with the founders to build a first-of-its-kind underwriting and pricing engine, one that can estimate rental value, risk, and time-to-lease for every apartment we consider. You’ll also design intuitive dashboards, structure unorganized data, and bring the visibility needed to scale Helium with confidence.


Key Responsibilities

• Build Helium’s proprietary pricing and underwriting engine to evaluate apartments for guaranteed rental agreements

• Analyze structured and unstructured datasets to uncover trends, predict leasing timelines, and guide pricing decisions

• Design, develop, and manage robust BI dashboards and reports for leadership visibility

• Collaborate with product, operations, and sales teams to define key metrics and performance benchmarks

• Leverage GenAI, NLP, and automation for tasks like data cleaning, annotation, and labelling


Requirements

• Bachelor's degree in Statistics, Mathematics, Finance, or related quantitative field

• 2+ years of experience in data/BI roles, preferably in high-growth startups or techfirst companies

• Advanced skills in SQL, Excel, and Google Sheets

• Proficiency in BI tools such as Superset, Tableau, or Power BI

• Working knowledge of Python and data warehousing concepts

• Ability to work independently, communicate clearly, and turn raw data into business insight Technical Skills

• SQL & database management • Excel (advanced) & Google Sheets • Python (for data manipulation and automation)

• BI Tools: Superset / Tableau / Power BI • ETL pipelines and data warehousing principles


Come shape the rental experience India actually deserves

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