Financial Data Analyst
App
About the role
Flexiple is a fastβgrowing technologyβdriven marketplace that connects topβtier freelancers with global enterprises. Founded in 2018, the company has built a reputation for delivering highβimpact product teams on demand, leveraging a rigorous vetting process and a culture of transparency. With a distributed workforce across India and a client base spanning North America, Europe and APAC, Flexiple emphasizes resultsβoriented collaboration, continuous learning, and a strong focus on dataβbacked decision making.
The organizationβs finance and analytics function plays a pivotal role in steering growth, optimizing revenue streams, and ensuring financial health for both the platform and its partners.
The Financial Data Analyst role sits at the intersection of finance, product, and data engineering. Reporting to the Head of Finance, the analyst will own the endβtoβend pipeline for key revenue metrics such as Annual Recurring Revenue (ARR), churn, cohort performance, and Customer Acquisition Cost (CAC) payback. By building robust SQL models, reconciling billing data with the general ledger, and automating boardβlevel reports, the analyst enables leadership to make swift, dataβdriven decisions.
The position also involves close partnership with founders and senior finance leaders to answer adβhoc growth queries and translate business problems into analytical solutions.
Key Responsibilities
- Design, develop, and maintain scalable SQL models for ARR, churn, cohort, and other revenueβrelated metrics.
- Reconcile billing and subscription data against the general ledger to ensure data integrity.
- Automate recurring board and investorβmetric reports using BI tools.
- Build selfβserve dashboards for revenue, retention, and CAC payback that empower stakeholders.
- Conduct deepβdive analyses to uncover growth levers and costβoptimization opportunities.
- Collaborate with product, finance, and engineering teams to define KPI definitions and data collection standards.
- Prepare adβhoc analytical reports for founders and senior leadership.
- Monitor data quality, flag anomalies, and implement corrective actions.
- Mentor junior analysts on best practices in data modeling and visualization.
- Stay updated with industry trends in SaaS finance analytics and suggest process improvements.
Tech Stack: PostgreSQL, Snowflake, dbt, Looker/Tableau, Python (pandas), Excel, Git.
Growth Path: Successful analysts can progress to Senior Analyst, Finance Business Partner, or Finance Manager roles, eventually moving into Head of Finance or Directorβlevel positions within Flexipleβs expanding finance organization.
Why Join Flexiple? The company offers a fully remote work environment, competitive compensation (8β12 LPA), exposure to highβgrowth SaaS metrics, and the chance to influence strategic decisions at a fastβmoving startup. Employees benefit from a culture that values autonomy, continuous upskilling, and a strong workβlife balance, making it an ideal place for ambitious analysts looking to accelerate their careers.
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.