About this role

Every function here - growth, operations, product, client success runs on the same warehouse. When a model breaks, a definition drifts, or a dashboard goes stale, decisions across the company degrade quietly. We need an analyst who owns that layer: builds it in dbt, keeps it trustworthy as the logic underneath changes, and turns it into visibility people actually use.

This is not a report-pulling job. It is equal parts data engineering discipline and business judgement - you will be asked what the number means, not just what it is.

Key Responsibilities

- Build and maintain scalable dbt models across staging, intermediate, and smart layers with proper testing, documentation, and version control.
- Maintain and improve data products as business requirements evolve, including RevOps logic changes across models, schemas, dashboards, and MIS reporting.
- Own data structures and warehouse design for assigned domains, ensuring scalability, data freshness, quality and cost efficiency.
- Maintain data accuracy and representation across key datasets, dashboards, MIS reports, and RevOps data flows.
- Perform SQL-based RCA across data models and key org metrics (business, growth, AI, and Voice Agent KPIs) to identify trends, root causes, performance gaps, and revenue-impacting opportunities.
- Automate recurring reports, analytics workflows, and setup alerts to reduce manual data work through scalable pipelines.
- Work with cross-functional teams to translate business questions into clear requirements, analyses, and timely insights.

Requirements

- 1+ years of relevant experience in Analytics, BI, or Data Engineering roles.
- Robust SQL skills with experience writing and optimizing queries on large relational databases.
- Strong analytical and problem-solving skills with the ability to understand complex data, schemas, ETLs,



and business logic.
- Experience building dbt models for warehousing that integrate data across new and legacy infrastructure.
- Experience investigating RCAs and resolving data discrepancies.
- Strong business judgement with the ability to use data to influence decisions and identify growth opportunities.
- Ability to break complex problems into executable pieces, prioritize effectively, and deliver within timelines.
- (Preferred) Hands-on experience with dbt, Python, cloud data warehouses (Snowflake, BigQuery, Redshift), Git, or experimentation/A-B testing.
- (Preferred) Interest or exposure to conversational AI, speech data, voice agents, or contact-centre metrics.

Logistics

- Compensation: Competetive!
- Location: Noida
- Joining: ASAP!

Why should you consider us seriously

- We believe that longer-term, people >> product profits and prioritize culture over everything else.
- We are a well-balanced team of experienced entrepreneurs and are backed by top investors across India and Silicon Valley (Chiratae Ventures, Blume Ventures, Abstract Ventures, Emergent Ventures; Senior execs at Google, Square, Genpact Flipkart; Co-founders of Infosys, Snapdeal, Slideshare, Zomato, etc.)
- Freedom and Responsibility
- Entrepreneurial Team
- Exponential Growth
- Healthcare (Physical Mental Wellness)

Please Note

SquadStack.ai is committed to a diverse and inclusive workplace. SquadStack .ai is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Analyst - 1 (Noida)
🏢 SquadStack
📍 Noida