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Lead - Business Intelligence & Analytics

Job Description:

Our Mission: Prozo’s mission is to bring Amazon-like e-commerce fulfilment services to D2C (director to consumer) brands. Find more about us at

Why Prozo?  E-commerce companies like Amazon and Flipkart have gotten us used to getting our orders delivered within 1-2 days at our doorstep! Also, there are more than 20 e-commerce platforms like Amazon, Flipkart, Bigbasket, Myntra, Snapdeal, Tatacliq, nykaa, Ajio, Purplle, Grofer, 1 Mg, Pharmeasy, Healthkart & seniority etc. that brands are using to reach their customers. Over & above this, most of these brands are also trying to create a loyal customer base on their own e-commerce website. Add the complexity of traditional offline distribution in this supply chain and you have a very demanding supply chain at hand. In the near future, we are likely to see a wave of social e-commerce such as facebook e-commerce, instagram e-commerce, Google commerce, Glance e-commerce and so on!

Prozo offers technology & e-commerce fulfilment solutions to help brands succeed in such an ecosystem. As a part of our offerings we offer

  • Full-stack technology solutions i.e. omni-channel order management system (OMS), integrations with all leading e-commerce platforms and a powerful WMS (warehouse management system) to simplify high intensity warehouse operations. 
  • Access to best-in-class warehousing facilities and e-commerce and offline fulfilment services
  • Multi-channel distribution on various platforms

What you'll do: 

  • Be the founding member of the business and data analytics practice at Prozo.
  • Work on large data sets present across multiple in-house products.
  • Define and evolve our Reporting Strategy - what are the right tools and upstream data needs to meet our business needs today and into the future.
  • Own our external dashboards - utilize Looker to standardize and deliver information to our customers and partners
  • Own internal reporting - what information and delivery are needed to drive continuous improvement, operational excellence and support our growth
  • Data mining using state of the art method
  • Set up best practices for the team to follow.

What we’re looking for is an engineer who has: 

  • Bachelor’s degree in Computer Science, Mathematics, Statistics, Applied Mathematics, Engineering, Business or related experience
  • 4 years + experience in business analytics
  • Strong analytical skills and experience distilling complicated data and information into elegant insights
  • Deep understanding of BI solution best practices and common pitfalls from architectural design, data source, ingestion, storage, analysis and visualization. 
  • Preferred tool set: SQL,, Python, Excel, Jira, Confluence, and Git
  • Previous experience of working with BI & analytics tools like Looker, Tableau, Cluvio, databox etc. 

Our Stack: 

  • React and Redux for UI
  • Java, Spring and Mysql for independent microservices
  • AWS
  • SQS for queuing
  • Ionic for Hybrid mobile apps.

About Prozo: Prozo is a fast-growing e-commerce fulfilment company. We are a 6 year old & a 100 member profitable tech-company with offices at Noida, Delhi, Hyderabad and Kolkata. We started our journey with the books category and are serving various international and domestic publishers for warehousing, technology, and fulfilment services. We are also serving many brands in other segments such as toys, food, retail health care, apparel and fashion accessories. The company was founded by Lieutenant Commander (Dr) Ashvini Jakhar in 2014, who is an alumni of prestigious institutions like AFMC-Pune, Indian School of Business, and McKinsey & Company. Our CTO, Mr Vaibhav Dhawan, who brings with him more than 14 years of technology experience, joined us 5 year ago. He loves to code and still spends the majority of his time in coding. Prior to joining Prozo, he has served in various organisations like Global Logic, SDG and EasyFix. He is an alumni of PEC, Chandigarh!

We are an equal opportunity employer and value diversity at Prozo. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or any other legally protected status.