Seven candidate reports describe LatentView's Data Analyst interviews: an online test, sometimes a group discussion, two technical rounds focused on SQL and resume projects, and an HR round.
$89K
Avg. Base Comp
$105K
Avg. Total Comp
3-5 rounds
Typical Rounds
Not reported
Process Length
Candidates describe the Latentview Analytics Data Analyst interview as a SQL-and-resume process, though the exact format varies by report. Most start with an online assessment covering aptitude, basic SQL or Python, and sometimes a coding problem. Several then report a group discussion before one or two technical interviews and an HR conversation. Round counts range from three to five.
SQL is the most consistent theme. Candidates mention joins, second-highest-salary style queries, aggregations and schema design, including a placement management system schema. One candidate wrote SQL and Java on paper, so practice without an IDE.
Resume depth also matters. Candidates report detailed follow-ups on internships and projects, so be ready to explain your technical decisions. Python, DBMS basics, data structures and puzzles each came up in some reports. Examples are finding duplicates, LCM and HCF, and a three-ants puzzle.
A few experiences differ. One candidate saw a gaming round, and one faced deep machine learning, reinforcement learning and a live Tableau exercise. Another described a rigid process and a mismatch in level and pay. Three of the seven reported offers, so outcomes are mixed. Build your preparation around SQL, your own projects and clear communication, and treat the unusual formats as possibilities, not guarantees.
Synthesized from 9 candidate reports by our editorial team.
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Topics based on recent interview experiences.
Featured question at Latentview Analytics
Select the 2nd highest salary in the engineering department
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Synthesized from candidate reports. Individual experiences may vary.
Candidates report an online test as the first gate, sometimes on Mettl or a similar platform. It typically mixes aptitude or logical reasoning with basic SQL, Python or one coding problem. One report mentions a 90-minute test with an English component. Questions were described as foundational, so clean syntax and joins matter more than advanced algorithms.
Several candidates report a group discussion on business trends or hypothetical scenarios, where communication and listening appeared to be what was observed. It was described as relaxed in one account and collaborative in another. It is not mentioned in every report, so it may depend on the hiring channel. One candidate also reported a gaming round.
Candidates report one or two technical rounds, sometimes on the same day. Expect a detailed resume walk-through plus SQL joins, aggregations or schema design. Some were asked for Python, Java, array problems or puzzles, and one had to write code on paper. One candidate faced advanced machine learning questions and a live Tableau task, so depth beyond core SQL may vary by panel.
Some candidates describe a panel or manager conversation that probes projects, scenario-based SQL and basic machine learning ideas such as overfitting and underfitting. Experiences differ. One described an abrupt, disengaged manager round and another a style that valued a specific expected approach. Prepare structured, concise explanations of your project choices.
Candidates typically describe the final HR conversation as straightforward. Topics reported include why you want to join LatentView, background, availability, expectations and, in one case, role level and compensation. Be ready to explain your motivation, especially if your stack differs from the posted requirements.
