Sufiyan Ahmad's Jobaaj Learnings Review: From BBA Graduate to Junior Data Analyst at Invergence Analytics
"Almost all questions were related to the basics I learned in the Jobaaj course. The way it was taught helped me answer confidently." — Sufiyan Ahmad, on his interview rounds
Sufiyan Ahmad is from Lucknow and holds a BBA. He has no technical background and had originally planned to start his own business. After seeing a Jobaaj ad on YouTube and attending a free workshop, he enrolled in the Data and Business Analytics program and learned SQL, Python and Power BI. He is now a Junior Data Analyst at Invergence Analytics Pvt. Ltd., working in the finance domain.
If you are searching “is Jobaaj real or fake”, “is Jobaaj Learnings genuine” or “is the data analytics course worth it”, one detail in Sufiyan's account matters more than any endorsement: he found his own job. He completed the course and then applied on LinkedIn and other platforms himself. What this review evidences is the training and the interview preparation, not a placement pipeline. That is a narrower claim than most course reviews make, and it is the honest one here. Compare it against the other accounts in our Interview Series and the wider feedback on the reviews page.
Key Takeaways: Sufiyan's Jobaaj Learnings Review
- Profile: BBA graduate from Lucknow, no technical background, no work experience after graduating.
- How he found Jobaaj: a YouTube ad, then a free workshop.
- What he learned: SQL, Python and Power BI through the Data Analytics course.
- How he got the job: he applied himself on LinkedIn and other platforms after completing the course, and says he got a job fairly quickly.
- Outcome: Junior Data Analyst at Invergence Analytics Pvt. Ltd. (a subsidiary of Convergence), in the finance domain.
- Interview: three rounds — general questions, a SQL-heavy technical round taken by an interviewer in New York, then Python and Power BI.
- Day-to-day reality: about 90% of his work is SQL — writing stored procedures and running queries. Python is a plan, not yet a daily tool.
- Support that helped: the Discord community, where he says doubts were resolved quickly.
Who Is Sufiyan Ahmad? His Background Before Analytics
Sufiyan is from Lucknow and completed a Bachelor's in Business Administration. He is direct about the starting point: “I don't come from a technical background. Initially, I had planned to start my own business.”
He did not work after his BBA. He went straight from graduating to upskilling to employment — which makes his case a reasonably clean test of whether the training alone was enough.
How He Found the Field: A YouTube Ad and a Free Workshop
Sufiyan saw a Jobaaj ad on YouTube and attended a free workshop, where the lectures on the growth of data analytics and data science changed his plan. In his words, that workshop was “a turning point” — he dropped the business idea and enrolled in the Data Analytics course, which covered SQL, Python and Power BI.
How He Actually Got the Job
This deserves its own section because it is the part most course reviews blur. Sufiyan's sequence was:
- Completed the course, staying focused throughout
- Started applying on LinkedIn and other platforms himself
- Got a job “fairly quickly”
He does not describe a placement coordinator sourcing the role or arranging the interview. What he credits the programme with is the skills and the way they were taught — enough that, as he puts it, almost every interview question mapped to something he had already covered.
The Role: Junior Data Analyst at Invergence Analytics
Sufiyan works at Invergence Analytics Pvt. Ltd., a subsidiary of Convergence, as a Junior Data Analyst in the finance domain.
His description of the daily work is worth reading if you are picking which tool to prioritise: “Right now, about 90% of my work is on SQL — writing stored procedures and running queries.” Python is something he plans to move into, not something the job currently demands. Power BI does not feature in his account of daily work at all.
Inside the Interview: Three Rounds, Mostly SQL
Sufiyan named the rounds and the topics, so this is his account rather than a reconstruction:
| Round | What was asked |
|---|---|
| 1. General | General and basic questions |
| 2. Technical (interviewer based in New York) | Mostly SQL — stored procedures, the difference between views and indexes, SELECT statements, ORDER BY, and handling and filtering large datasets |
| 3. Tools | Python and Power BI — how to clean and visualise data |
The pattern matches his day-to-day work: SQL carried the technical round, and SQL is what he uses. If you are preparing for junior analyst interviews on the strength of this account, SQL depth is where the return is.
Data Analyst Interview Questions and Model Answers
What is a JOIN in SQL? Give an example.
Model answer: A JOIN combines rows from two or more tables using a related column. For example, an INNER JOIN between a customers table and an orders table returns only the customers who have placed orders:
SELECT Customers.name, Orders.order_id FROM Customers INNER JOIN Orders ON Customers.customer_id = Orders.customer_id;
What is the difference between a view and an index?
Model answer: A view is a saved query that behaves like a virtual table — it stores no data of its own and simplifies repeated or complex queries. An index is a physical data structure that speeds up lookups on one or more columns, at the cost of slower writes and extra storage. A view changes how you read the data; an index changes how fast the database finds it.
What is a stored procedure and why use one?
Model answer: A stored procedure is a named block of SQL saved in the database and executed on demand, optionally with parameters. It keeps repeated logic in one place, reduces round trips between the application and the database, and lets you grant execute permission without granting direct table access.
What is the difference between WHERE and ORDER BY?
Model answer: WHERE filters which rows are returned; ORDER BY sorts the rows that survived the filter, ascending or descending.
SELECT * FROM Employees WHERE Department = 'Sales' ORDER BY Salary DESC;
How would you clean a dataset in Python?
Model answer: Load it with Pandas, then check for nulls with df.isnull().sum() and fill or drop them depending on context; remove duplicates with df.drop_duplicates(); correct data types with astype(); and standardise column names and strip stray whitespace.
How do you visualise data once it's clean?
Model answer: Import the cleaned dataset into Power BI and build a dashboard — bar charts and line graphs for the trends, slicers so the reader can filter it themselves rather than asking for a new report each time.
Pros and Cons, Based on Sufiyan's Account
What worked:
- The syllabus mapped onto real interview questions — he says almost all of them came back to course basics
- SQL coverage was deep enough to carry a technical round conducted by an overseas interviewer
- Discord support resolved his doubts quickly during the learning phase
- The transition worked from a genuinely non-technical starting point, with no prior work experience
Sufiyan's Tips for Non-Technical Candidates
- Be consistent. His own words: “Just watching course videos won't get you a job. You need to practice regularly and stay focused.”
- Master the basics. If the fundamentals are weak, the advanced concepts will not make sense — and it was the basics that his interview actually tested.
- Give it 100%. “If you're learning something, go all in. Don't just aim for 50%.”
- Learn to a standard you can defend. His benchmark: if you learn joins today, be confident enough to explain or apply them tomorrow.
- Prioritise SQL. Not his stated advice, but it follows from his account — SQL dominated both his interview and his job.
Full Podcast Transcript
The complete conversation, unedited.
Podcaster: Hello everyone, today we're joined by Sufiyan, a member of the Jobaaj Learnings community who recently made a successful career switch into analytics. We'll learn about his background, current role, skillset, and suggestions for others looking to enter the field. Welcome, Sufiyan! Could you start by telling us about yourself and your education?
Sufiyan Ahmad: Thanks, Rakshit. I'm Sufiyan Ahmad from Lucknow. I completed my Bachelor's in Business Administration (BBA). I don't come from a technical background. Initially, I had planned to start my own business.
But one day, I saw a Jobaaj ad on YouTube. I attended a free workshop and watched your lectures about the growing future of data analytics and data science. That got me really interested. I enrolled in the Data Analytics course, which covered SQL, Python, and Power BI — the core tools used in this field.
I stayed focused, completed the course, and started applying on LinkedIn and other platforms. I got a job fairly quickly. The learning journey was smooth, especially with the help I received on the Discord community — my doubts were always resolved quickly.
Podcaster: That's great to hear! So where are you currently working and what's your role?
Sufiyan Ahmad: I'm working at Invergence Analytics Pvt. Ltd., which is a subsidiary of Convergence. My current role is Junior Data Analyst, and I work in the finance domain.
Podcaster: So you didn't work after your BBA — you directly upskilled and got into this role?
Sufiyan Ahmad: Yes, exactly. I was planning to start a business, but this field really excited me. After your workshop, I decided to switch and pursue this seriously. It was a turning point for me.
Podcaster: Okay, so tell us about your interview. How many rounds were there, and what kind of questions did they ask?
Sufiyan Ahmad: There were three rounds. Round 1 was general and basic questions. Round 2 was a technical round by someone from New York — mostly SQL-based. They asked about stored procedures, differences between views and indexes, SELECT statements, ORDER BY, and how to handle and filter large datasets. Round 3 had some questions from Python and Power BI — how to clean and visualize data.
Almost all questions were related to the basics I learned in the Jobaaj course. The way it was taught helped me answer confidently.
Podcaster: What tools are you using in your daily work?
Sufiyan Ahmad: Right now, about 90% of my work is on SQL — writing stored procedures and running queries. I've just joined, so I'm focusing on strengthening my SQL. But I plan to get more into Python soon.
Podcaster: What would you advise someone from a non-technical background who wants to get into analytics?
Sufiyan Ahmad: Be consistent — just watching course videos won't get you a job, you need to practice regularly and stay focused. Master the basics; if your fundamentals aren't strong, advanced concepts won't make sense. Give 100% — if you're learning something, go all in, don't just aim for 50%. And stay focused: if you're learning joins today, be confident enough to explain or apply them tomorrow.
Also, I loved how the course was structured — "Zero to Hero" is not just a title, it truly delivers on that promise.
Podcaster: Thank you, Sufiyan, for sharing your inspiring story. I'm sure it'll motivate many students from non-tech backgrounds. Looking forward to continuing your mentorship on Discord.
Sufiyan Ahmad: Thank you so much, Rakshit. I'm grateful for everything Jobaaj has offered.
Frequently Asked Questions
Is Jobaaj Learnings genuine, or is it fake?
This page documents one recorded case: Sufiyan Ahmad, a non-technical BBA graduate, hired as a Junior Data Analyst at Invergence Analytics after the Data Analytics course, with his employer, role, interview rounds and daily tools all stated on camera. That is evidence of a real outcome, not proof of a rate. See the wider review set on the reviews page.
Can you get a data analyst job with a BBA and no technical background?
Sufiyan did, with no work experience after his BBA. He learned SQL, Python and Power BI, then applied on LinkedIn and other job platforms himself.
Did Jobaaj Learnings place him in the job?
No — and this is worth being clear about. By his own account he applied on LinkedIn and other platforms after finishing the course. What he credits the programme with is the skills and the interview readiness, not sourcing the role.
What was asked in the data analyst interview?
Three rounds. General questions first; then a SQL-heavy technical round (stored procedures, views versus indexes, SELECT, ORDER BY, handling and filtering large datasets) taken by an interviewer in New York; then Python and Power BI questions on cleaning and visualising data.
Which tool matters most for a junior data analyst?
On Sufiyan's evidence, SQL. It dominated his technical round and accounts for around 90% of his daily work. He describes Python as something he plans to move into later.
How long did it take him to get placed?
He does not give a figure for the course length, but says that after completing it and starting to apply, he got a job “fairly quickly.”
Join 5,00,000+ Subscribers
Be a part of our ever growing community.
Categories

