Job Role: Analytics Engineer 1

You should apply if you have:

- 1-3 years of experience in analytics engineering, data analysis, BI, or data engineering - or a strong mix.
- Strong SQL, at modeling grade - CTEs, window functions, incremental logic, and query optimization.
- Hands-on experience with dbt (models, refs, tests, incremental builds) - or clear, demonstrable ability to pick it up fast.
- A real data-modeling instinct - dimensional/star-schema thinking, grain discipline, and a Silver Gold mindset.
- Comfort working in a cloud data warehouse (Redshift preferred; Snowflake / BigQuery welcome) with Git-based version control.
- The ability to turn an analysts or stakeholders need into a clean, reusable model rather than a one-off query.
- An AI-first mindset and comfort using AI tools to speed up your engineering and modeling workflow.

You should not apply if you:

- Prefer writing one-off queries over building reusable, governed models.
- Are uncomfortable with SQL, data modeling, testing, or version control.
- See the role as taking tickets rather than owning a layer of the stack end-to-end.
- Are resistant to dbt/testing discipline, code review, learning new tools, or leveraging AI to improve your productivity.
- Prefer maintaining fragile legacy jobs over building scalable, tested, version-controlled models.
- Dont enjoy collaborating upstream (with Data Engineers) and downstream (with Analysts and business teams).
- Are looking for a narrow role rather than one that demands ownership, curiosity, and continuous improvement.

Skills Required:

Technical Skills

- Advanced SQL (CTEs, window functions, incremental logic, query optimization)
- dbt - models, refs, tests, incremental builds, documentation
- Data modeling (dimensional / star schema; Silver Gold transformation layers)
- Cloud data warehouse - Redshift (preferred), Snowflake, or BigQuery
- Git / version control and CI for data workflows
- Understanding of the modern data stack (lakehouse, ELT, medallion architecture)
- Python for analysis and automation (good to have)
- Power BI / data visualization (valuable to have - to close the loop with analysts)

Business Analytical Skills





- Translating ambiguous stakeholder and analyst needs into reusable, governed models
- Metric definition and governance - a single source of transformation truth
- Reconciliation, data-quality, and testing mindset
- Strong problem-solving and attention to correctness
- Collaboration across Data Engineering, Analytics, and business functions
- Experience working with D2C, E-commerce, Retail, or Consumer business data (preferred)

What will you do

- Own the Silver Gold dbt modeling layer for your domains - clean, tested, documented models that dashboards and analysts depend on.
- Migrate legacy stored-procedure marts into version-controlled, testable dbt models, reconciled against the numbers they replace.
- Build the models and marts behind core roadmap projects (D2C Product Analytics + CDP-lite, and later Omnichannel Sales PL).
- Write dbt tests and documentation, and keep a reliable pull-request review cadence so nothing silently breaks downstream.
- Automate recurring reporting and ops workflows - feeding our AI Automation track.
- Partner with Data Engineers upstream (raw data in Bronze) and Analysts downstream (dashboards on Gold).
- Contribute to the data dictionary and the emerging semantic layer as the single source of metric truth.

What success looks like During your first six months, youll:

- Become fully productive in our dbt stack, owning models independently by around week eight.
- Migrate priority stored-procedure marts into dbt, reconciled against legacy outputs.
- Ship the models behind a core roadmap project (e.g. D2C analytics / a Gold mart).
- Automate at least one recurring reporting or ops workflow end-to-end.
- Have every model you own documented and dbt-tested, with a dependable review cadence.

Work Experience: 1-3 years Working days: Monday - Friday





Location: Golf Course Road, Gurugram, Haryana (Work from Office)

Perks:

- Friendly atmosphere
- High learning personal growth opportunity
- Flexible Timings
- Diverse work environment

Why Nutrabay: We believe in an open, intellectually honest culture where everyone is given the autonomy to contribute and do their lifes best work. As a part of the dynamic team at Nutrabay, you will have a chance to learn new things, solve new problems, build your competence and be a part of an innovative marketing-and-tech startup thats revolutionising the health industry.

Working with Nutrabay can be fun, and a place of a unique growth opportunity. Here you will learn how to maximise the potential of your available resources. You will get the opportunity to do work that helps you master a variety of transferable skills, or skills that are relevant across roles and departments.

You will be feeling appreciated and valued for the work you delivered. We are creating a unique company culture that embodies respect and honesty, which will create more loyal employees than a company that simply shells out cash. We trust our employees and their voice and ask for their opinions on important business issues.

About Nutrabay:

Nutrabay is the largest health nutrition store in India. Our vision is to keep growing, have a sustainable business model, and continue to be the market leader in this segment by launching many innovative products. We are proud to have served over 1 million customers uptill now, and our family is constantly growing.We have built a complex and high-converting eCommerce system, and our monthly traffic has grown to a million.

We are looking to build a visionary and agile team to help fuel our growth and contribute towards further advancing the continuously evolving product.

Funding: We raised $5 million in a Series A funding

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.

📌 Analytics Engineer (Gurugram)
🏢 Nutrabay
📍 Gurugram