Financial Data Analyst
App
About the role
Eligibility & process
Who can apply
Graduation (B.Tech/B.E., B.Com, B.Sc.) in Computer Science, Information Technology, Finance, Economics or related fields; Minimum 60% aggregate (or CGPA 6.5/10); Batch years 2018β2024; 0β2 years of relevant experience acceptable but 2β5 years preferred; No active backlogs at the time of joining; Strong analytical mindset and willingness to work remotely across Indian time zones.
Skills & stack
Selection process
- Round 1: Online assessment (SQL queries & Excel case study)
- Round 2: Technical interview (SQL modeling, data reconciliation, dashboard design)
- Round 3: HR interview (cultural fit, expectations)
Prep kit
20 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Behavioural & HR questions 3
Highlight App's market reputation, recent tech innovations, and how your skills in SQL directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.