Data Analyst - 1

Squadrun Inc; Dadri; On-site; INR 600,000 - 1,000,000; Full time

Benefits offered by this job

Competitive compensation

Noida on-site

ASAP joining

Job summary

SquadStack.ai in Noida is seeking an Analytics/Data Engineering professional to own data layer modeling using dbt, ensuring trustworthy warehouse logic as changes occur. The role blends data engineering with business judgement to turn data into actionable insights.

You will build scalable dbt models, maintain data accuracy, and automate reports while working with cross-functional teams to answer business questions with clear analyses.

Qualifications

• 1+ years in Analytics, BI, or Data Engineering.
• Strong SQL skills with large relational databases.
• Ability to understand complex data, schemas, ETLs, and business logic.
• Experience building dbt models for warehousing.
• Experience RCAs and resolving data discrepancies.
• Strong business judgment to influence decisions and growth.

Responsibilities

• Build and maintain scalable dbt models across warehouse layers.
• Improve data products as business requirements evolve.
• Own data structures and warehouse design for scalability and quality.
• Maintain data accuracy across dashboards and MIS reports.
• Perform SQL-based RCAs to identify trends and opportunities.
• Automate recurring reports and analytics workflows.
• Collaborate with teams to translate questions into insights.

Skills

SQL

Analytical thinking

Business judgement

Problem solving

Data storytelling

dbt

Python

Git

A/B testing

Cloud warehouses

Education

Bachelor's degree in a relevant field

Tools

dbt

Snowflake

BigQuery

Redshift

Git

Job description

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.
• Strong 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
• 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.