Senior Associate - Data Analytics

You should apply if you have:

• Experience in

  building analytics platforms from scratch

  for a product-based company.
• Strong proficiency in

  Power BI, SQL, and data visualization tools

  .
• Expertise in

  data modeling, ETL processes, and business intelligence

  .
• Ability to

  analyze large datasets

  and translate insights into actionable recommendations.
• Experience working with

  AWS, Redshift, BigQuery

  .
• A passion for

  data-driven decision-making

  and problem-solving.
• Excellent communication skills to

  present insights to stakeholders

  effectively.

You should not apply if you:

• Lack of experience in

  data visualization tools like Power BI

  .
• Are unfamiliar with

  SQL and cloud-based data warehouses

  .
• Haven’t worked with

  ETL pipelines and data modeling

  .
• Struggle with translating complex data into

  business insights

  .
• Are not comfortable in a

  fast-paced, product-based company environment

  .

Skills Required:

• Power BI (DAX, Power Query, Report Optimization)
• SQL (Query Optimization, Data Manipulation)
• ETL Processes & Data Warehousing
• AWS Redshift / Google BigQuery
• Python (Preferred but not mandatory)
• Business Intelligence & Data Storytelling
• Stakeholder Communication & Data-Driven Decision-Making

What will you do?

• Build and manage an end-to-end analytics platform

  for Nutrabay.
• Develop

  interactive dashboards and reports

  for business insights.
• Work with

  large datasets

  to ensure

  data integrity and efficiency

  .
• Collaborate with

  engineering, product, and marketing teams

  to define key metrics.
• Implement

  ETL processes

  to extract and transform data from multiple sources.
• Ensure

  data security and governance

  within the analytics ecosystem.
• Conduct

  deep-dive analyses

  on performance metrics, user behavior, and market trends.
• Optimize Power BI reports for

  performance and scalability

  .
• Support

  decision-making with real-time and historical data analysis

  .

Work Experience:

• 4-6 years

  of experience in data analysis, business intelligence, or related roles.
• Prior experience in a

  product-based or e-commerce company

  is a plus.

Working Days: Monday - Friday

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

Perks:

• Opportunity to

  build the analytics infrastructure

  from scratch.
• Learning and development opportunities in a

  fast-growing company

  .
• Work alongside a

  collaborative and talented team

  .

Why Nutrabay:

We believe in an open, intellectually honest culture where everyone is given the autonomy to contribute and do their life’s 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 that’s revolutionising the health industry.

Working with Nutrabay can be fun and 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,y that 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.