Telephonic HR screening questions for data roles, and how to answer

Before the call

Keep your CV, the job description and a notepad in front of you. Know your notice period exactly, your current CTC breakdown (fixed and variable), your researched expected range, and which locations you would accept. If the call comes at a bad time, it is fine to say "Can I call you back in 20 minutes? I'd like to be somewhere quiet."

The call, question by question

"Is this a good time to talk?"

"Yes, thank you for calling. Is this about the data analyst role in Gurugram?" Confirming the role shows you track applications.

Recording: reachability and basic professionalism.

"Tell me briefly about yourself."

Keep it to 45 seconds and match it to the job description. "I'm a data analyst with two years at a logistics company, where I build SQL reports and Power BI dashboards for the operations team. The role caught my attention because it's focused on supply-chain analytics, which is where most of my work has been."

Recording: relevance to the requisition, communication clarity. The recruiter often reads this summary to the hiring manager.

"Why are you looking for a change?"

Positive and brief, never a complaint about your employer. "I've learnt a lot in my current role, and I'm looking for more work on forecasting and a larger data team to learn from."

"What is your notice period? Is it negotiable?"

Be exact. "Sixty days as per my contract. I can check whether an early release is possible once I have an offer, but I'd rather not promise a shorter date until I've spoken to my manager."

Recording: joining date. An exaggerated short notice period that later turns out false damages trust at the offer stage.

"What is your current CTC?"

Answer accurately and split it if relevant. "My current CTC is [amount] per annum, of which [amount] is fixed and the rest is a variable bonus." Many companies verify this later from payslips, so do not inflate it.

"What is your expected CTC?"

"Based on the role and my research on similar roles, I'm looking at a range of [range]. I'm open to discussing it once I understand the full role and benefits." For freshers: "Could you share the budgeted range for this role? I'm flexible within a reasonable range for the level."

Recording: whether you fit the budget. A single number with no flexibility can close the conversation early.

"Are you open to working from the office? Relocating?"

Answer truthfully. "Yes, I'm based in Noida and can commute to Gurugram for three office days a week." Or: "I'd prefer to stay in Pune; relocation would depend on the role." A "yes" you later withdraw costs everyone time.

"Do you have any other offers or interviews in progress?"

Honest and brief. "I'm in the final round with one other company." Do not invent offers to create pressure; recruiters talk to each other and sometimes ask for proof.

"Rate yourself out of 10 in SQL, Excel and Power BI."

Give a considered number with a reason. "SQL about 7 — I write joins, window functions and CTEs daily, but I haven't done much query performance tuning. Power BI 7, Excel 8."

Recording: self-awareness. A 10 invites a hard technical round; a 3 may filter you out.

"Are you comfortable with the interview process — a test, then two rounds?"

"Yes. Could you tell me what the test covers and roughly how long it is?"

"Do you have any questions?"

Ask about process and practicalities: "What are the next steps and timeline?" "Is the role in the analytics team or embedded in a business function?" Save detailed technical questions for later rounds.

Common mistakes

After the call

Send a short message or email the same day: "Thank you for the call today about the data analyst role. As discussed, my notice period is 60 days and I'm available for the test this week." It confirms details in writing and keeps you visible.

If the process moves forward, the walk-in written test guide covers the aptitude and SQL papers many companies use next, and the career-switcher bank helps if the recruiter asks about a change of field. Mock screening calls are part of interview preparation in the Data Analyst programme.