Get recommended by industry experts for your next opportunity - for free!

Earn the Business Analysis Endorsement and signal your readiness to take on bigger challenges at work.

apply now
Why Get endorsed?

A way for growing business analysts to get noticed for senior roles.

Get assessed by industry experts for your ability to do high-impact work. Increase your visibility and stand out from the crowd.

Feedback That Matters

Candidates complete two different, intimate, 90-minute working sessions with senior leaders to receive their endorsement.

Badge of Competence

All endorsed professionals receive a shareable, digital credential to unlock in-bound attention from recruiters, hiring managers and more.

Curated Professional Opportunities

Successful candidates join a community of peers to grow their network and unlock access to the best mid-to-senior job roles.
OUR Experts

Get endorsed by the best of the best in the BA domain.

Our experts come from many sectors like IT, Finance and Commerce and lead large teams with over a decade of experience.

Ravi Kompella
Analytics Lead, India
13+ years of experience in big data analytics solutions. Previously at Mu Sigma, Salesforce and Oracle.
Rai Rajani
Director of Data Science
11+ years of experience in process intelligence and AI. Previously at BRIDGEi2i and IIT Madras.
Ajit Khabya
Director of Analytics
13 years of experience in Analytics at Meesho, Indus OS, Kiwi.Inc and marketRx.
Yajur Saboo
AVP of Analytics
15 years of experience in Business Analytics. Previously at Tata Sky and Bharti AXA General Insurance.
Ravi Bhat
Business Insights Leader
16 years of experience in financial strategy planning, governance and reporting. Previously at Infosys and Tata.
Nakul Laad
Director of Analytics
14 years of experience in the digital commerce space. Previously at Swiggy, Accenture and MuSigma.
Sushant Mathur
Director of Product
16 years of experience in developing technology products for enterprises. Previously at Oracle.
Priyanka
Utkarsha
Senior leader of Analytics
12 years of extensive planning and customer analytics experience in consumer industries. Previously at Delhivery and Myntra.
Pranav Kumar
Director of AI & Analytics
17 years of extensive experience leading assignments across Digital Strategy and Products. Previously at Adobe and PwC.
Pavan Nanjundaiah
VP of data science & EnGG
19 years of Data Science and Data Engineering experience in the retail industry. Previously at Tredence Inc. and Seagate.
Praveen Udupa
Founder & MD
22 years of work experience in Product Management and Business Analysis. Previously at eedge.ai and IIBA.
Ravi Kompella
Analytics Lead, India
13+ years of experience in big data analytics solutions. Previously at Mu Sigma, Salesforce and Oracle.
Rai Rajani
Director of Data Science
11+ years of experience in process intelligence and AI. Previously at BRIDGEi2i and IIT Madras.
Ajit Khabya
Director of Analytics
13 years of experience in Analytics at Meesho, Indus OS, Kiwi.Inc and marketRx.
Yajur Saboo
AVP of Analytics
15 years of experience in Business Analytics. Previously at Tata Sky and Bharti AXA General Insurance.
Ravi Bhat
Business Insights Leader
16 years of experience in financial strategy planning, governance and reporting. Previously at Infosys and Tata.
Nakul Laad
Director of Analytics
14 years of experience in the digital commerce space. Previously at Swiggy, Accenture and MuSigma.
Sushant Mathur
Director of Product
16 years of experience in developing technology products for enterprises. Previously at Oracle.
Priyanka
Utkarsha
Senior leader of Analytics
12 years of extensive planning and customer analytics experience in consumer industries. Previously at Delhivery and Myntra.
Pranav Ravi
Director of AI & Analytics
17 years of extensive experience leading assignments across Digital Strategy and Products. Previously at Adobe and PwC.
Pavan Nanjundaiah
VP of data science & EnGG
13 years of Data Science and Data Engineering experience in the retail industry. Previously at Tredence Inc. and Seagate.
Praveen Udupa
Founder & MD
22 years of work experience in Product Management and Business Analysis. Previously at eedge.ai and IIBA.
Get Assessed and Endorsed for Over 16 Senior Business Competencies!
The Endorsement Process

Put your experience to the test!

How do you get Endorsed?

To earn an Endorsement, you are paired with two domain and industry experts for separate 1:1 90-minute “working sessions.”

At the end of each, experts assess you for your competencies and determine if they choose to Endorse you or not.

You must complete one short “task” before these sessions to demonstrate your skills & experience.

What happens in Working Sessions?

Working sessions are 90-minute 1:1 discussions between you and an industry expert from your domain hosted on Zoom.

You must attend two of them as a part of the endorsement process.

The three main parts of all working sessions are:

  • Reviewing your past work experience.

  • Discussing pre-session tasks you complete beforehand.

  • Active working on a problem statement shared then and there.

What are you assessed for?

Candidates for an Endorsement are assessed on 16 competencies based on research and interviews with various industry stakeholders on what is most relevant for senior business talent today.

The three main buckets are:

  • Techno-functional Competence: Beyond the “what” and “how” of operating tools. Focused on “when” and “why” to leverage tools and create systems.

  • Business Thinking & Focus: Can you go beyond the limits of your functional knowledge, consider tradeoffs, and drive business outcomes for the org as a whole?

  • Multi-stakeholder Management: Can you deliver projects with significant cross-functional impact by identifying all relevant stakeholders, understanding their incentives and crafting persuasive messaging.

How is this different from other certifications or programs?

Unlike a traditional course or program which focuses on “training”, this is a test of your competence and experience. There is no fixed syllabus, just what you have learned in your career so far.

It is a way for you to “practice”, “learn by doing” and “showcase your skills” not merely in tools, but business - all the while getting real-time unbiased feedback from experts.

Moreover, the tasks, problem statements, and expert matches for the endorsement process are tailored to your domain and industry preference to support your professional ambitions.

The pre-session tasks are hands-on, about using tools and extracting insights. The in-session problem statements are designed for higher-order thinking.  Both focus on your approach instead of completion/submission - like in traditional courses or programs.

The Process To Get Endorsed

Show the world you're ready to level up,
all in less than 45 days!

Made with a focus on busy professionals, the Endorsement process assesses your competence in techno-functional skills, business-focus and stakeholder communication.

Step 1: Complete Your
Application

Two-step process to sign up and tell us more about yourself, your performance in the past and goals for the future.

Step 2: Get Matched with Experts

Receive a personalised match with two domain and industry experts - tailored for your path.

Step 3: Attend 1:1 Working Sessions

Solve problems in real-time and receive immediate feedback over 90-minute video calls.

Step 4: Earn Your
Endorsement

Receive a sharable, digital credential if both experts endorse you, and unlock curated job opportunities.
Discover our Process
The Process

Endorsed professionals are vouched for by experts.

The process assesses your competence in techno-functional skills, business-focus and stakeholder communication.

Complete Your Application
Tell us more about yourself, your performance in the past and goals for the future.
Get Matched With Experts
Receive a personalised match with two deep domain and industry experts - tailored for your path.
Attend 2 1:1 Working Sessions
Solve problems in real-time and receive immediate feedback over 90-minute video calls.
Receive Endorsement Results
Receive a sharable, digital credential if both experts endorse you.
Get started now

Receive a digital badge of competence.

Ready to level up?

Sign up now
we aim to complete the endorsement process in 45 days
From Your Application.

Limited slots available for each weekend of june!

Limited Early Bird Fee

FREE
Curated Opportunities

Unlock the best roles in Data and Analytics with an endorsement.

Lead Data Scientist
Series a, E-commerce Company
Learn more
Some Requirements:
  • Bachelor's or Master’s degree in Computer Science, Statistics or Mathematics, or Information Systems.
  • Expert in different Machine Learning and Deep Learning modelling techniques and frameworks.
  • Prior experience of working on any MLOps framework/platform
  • Prior experience with tools like SQL, Excel/Google Sheets (pivot tables), and Tableau/Power BI/Looker.
  • Have a business mindset, identify risk situations and opportunities to generate creative solutions.
  • Effective communication skills (written and verbal) to communicate complicated models/ reports to management and other IT development partners.
Data Science Lead
Public, Fintech Company
Learn more
Some Requirements:
  • Expertise in programming languages such as Python and R.
  • Expertise in advanced data analytics, statistical modelling, and machine learning techniques.
  • Experience working in the financial services domain.
  • Experience with new machine learning platforms, such as H2O, is a plus.
  • Experience in communicating with business stakeholders across functions.
Analyst II
Series C, Media & Tech Company
Learn more
Some Requirements:
  • Experience with tools like Google Analytics, GTM, Big Query, Data Studio etc.
  • Study complex, unstructured data sets using Big Query/ SQL or any other language.
  • Complete RCA behind business metrics related to funnels, web navigations, and device-wise data.
  • Work closely with Product, Marketing and Business stakeholders to share observations and inferences.
  • Work with Power BI-like tools to create real-time visuals and structured documentation.
Lead Business Analyst
Series E, Logistics Company
Learn more
Some Requirements:
  • Experience leading multiple projects and at least 3 resources.
  • Exposure to consumer-facing products (product org experience preferred).
  • Prior experience of working on any MLOps framework/platform
  • Strong technical background and ability to contribute to design and review.
  • Familiarity with our current or analogous analytics stack - Python / R + SQL + Excel / PPT, Colab Notebooks.
  • Exposure to PostgreSQL, DynamoDB, Aerospike, Python, Metabase, Docker, Git, Jenkins, AWS Lambda etc.
BA Team Lead
Public, Quick Commerce Company
Learn more
Some Requirements:

In this role you will work with the product team to design and execute experiments to validate hypotheses and measure the impact of product changes. You will also help define and monitor key performance indicators for commerce products. Along with this, you will identify opportunities for data-driven innovation and contribute to the development of new product features and capabilities.

You should have previous experience in data analysis tool stack, preferably in a product development environment, and have strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

Data Science Manager
Series A, E-Commerce Company
Learn more
Some Requirements:
  • Bachelor's or Master’s degree in Computer Science, Statistics or Mathematics, or Information Systems.
  • Expert in different Machine Learning and Deep Learning modelling techniques and frameworks.
  • Prior experience of working on any MLOps framework/platform
  • Prior experience with tools like SQL, Excel/Google Sheets (pivot tables), and Tableau/Power BI/Looker.
  • Have a business mindset, identify risk situations and opportunities to generate creative solutions.
  • Effective communication skills (written and verbal) to communicate complicated models/ reports to management and other IT development partners.
Apply now

FAQs

Am I eligible to become an endorsed business analysis professional?

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To be eligible you must have:

1. 3+ years of work experience in the Business Analysis domain.
2. Previous experience working on SQL, Python, Advanced Excel, PowerBI, Tableau.

What happens if my application is rejected?

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If your application is rejected before the working sessions, we will recommend areas of improvement and further focus. You can reapply to get endorsed after 3 months.

How much time does an Endorsement take?

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The total time taken for an endorsement depends upon the availability of industry experts you are matched with, but it usually won’t take longer than a month.

This is to ensure that you meet folks who are most relevant for your career growth. The pre-work will only require 3 hours of prep time and the two working sessions are 90-minutes each, scheduled on weekends. There are limited slots so candidates should be flexible.

If you cancel within 48 hours of the scheduled session, you will be considered a no-show and cannot get the endorsement.

How can I use my endorsement for career growth?

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An endorsement is most relevant if you are aiming for the following roles in your career: Senior Business Analyst, Lead/Principal Business Analyst, Business Analyst Manager, Business Planning & Strategy Roles or Business Consulting. You can check out some listed jobs here.

Additionally, an endorsement from an industry expert can be leveraged to increase your network and get your foot in the right doors. This also signals your competency in thought leadership for the BA domain.

What happens if I am endorsed by only 1 of 2 industry experts?

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To receive an endorsement, you must be positively assessed by both industry experts you are paired with. In the case that one expert votes yes, and another, no, you will not be awarded the endorsement. You can reapply to be endorsed in 3 months from the date of your working session.

How can I prepare for the working session?

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The endorsement process, both the pre-work and working session, are designed to assess you for three main buckets of competencies: Techno-functional, Business Problem Solving, and Communication.

To prepare, you can:
1. Brush up on the tool stack you use at work as a Business Analyst;
2. Practice problem solving you do at work such as Gap Analysis, Requirements Lifecycle Management, Strategy Analysis, Requirements Analysis etc;
3. Practice workplace written and verbal communication for your role such as writing requirement documents, proposals, activity diagrams etc;

Please note that if you cancel within 48 hours of the scheduled session, you will be considered a no-show and cannot get the endorsement.

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