Financial Data Analyst
flexiple
About the role
Eligibility & process
Who can apply
Bachelor's degree in Finance, Economics, Business Administration, Computer Science, Engineering or related field; Minimum 2β5 years of experience in financial analysis, RevOps, or data analytics; Strong command of English (written and spoken); Ability to work independently in a remote setup; No active backlogs; Minimum CGPA/percentage of 6.5/70% (or equivalent).
Skills & stack
Selection process
- Round 1: Internal HM Review
- Round 2: Flexiple Interview
- Round 3: Profile Review
- Round 4: Tech Interview 1
- Round 5: Tech Interview 2
- Round 6: Tech Interview 3
- Round 7: Founder Interview
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 flexiple'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.