Financial Planning and Analysis Specialist

Saras Analytics Inc.

Hyderabad

On-site

INR 900,000 - 1,300,000

Full time

2 days ago
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Job summary

Saras Analytics Inc. is seeking an FP&A Executive to own planning, forecasting, and performance analysis for our SaaS business. You’ll build and maintain revenue and cost models, explain movements to management and the board, and deliver crisp reports using Excel, Power BI, and PowerPoint.

This numbers-driven role requires translating SaaS metrics into actionable insights and partnering with Sales, CS, and Product to keep data consistent across systems.

Qualifications

  • SaaS metrics knowledge including ARR/MRR, churn, NRR, CAC, LTV, and pipeline conversion; explain movements clearly.
  • P&L, cash flow, and revenue recognition fundamentals; connect operational metrics to financial statements.
  • Advanced Excel with modelling, pivots, Power Query, lookups and array formulas; clean data handling.
  • Power BI dashboards and data modelling; executive-ready PowerPoint decks with a POV.

Responsibilities

  • Build and maintain the AOP, budgets, and rolling forecasts including ARR/MRR revenue build and headcount/cost models.
  • Run monthly budget vs actual and forecast variance analysis with clear commentary.
  • Track and explain core SaaS metrics (ARR, MRR, churn, NRR, CAC, LTV, pipeline conversion).
  • Own management reporting pack and board decks including dashboards and executive summaries.
  • Partner with Sales, CS, and Product to ensure numbers are consistent across systems and automate reports.

Skills

SaaS metrics
Financial statements
Advanced Excel
Power BI
PowerPoint
Analytical rigour

Education

MBA (Finance) / CA / CMA

Tools

Excel
Power BI
PowerPoint

Job description

Saras Analytics is looking for an FP&A Executive to own the planning, forecasting, and performance-analysis

engine for our SaaS business. This is a numbers-and-narrative role: you will build and maintain the models

behind our revenue and cost plans, explain what moved and why, and turn that into crisp reporting for

management and board reviews. Strong Excel, Power BI, and PowerPoint skills are the tools of the trade .

the core expectation is comfort with SaaS financials and metrics, and the judgement to translate them into

decisions.

KEY RESPONSIBILITIES
  • Build and maintain the AOP, budgets, and rolling forecasts, including the ARR/MRR revenue build and headcount and cost models.
  • Run monthly budget-vs-actual and forecast variance analysis, with clear written commentary on what moved and why.
  • Track and explain core SaaS metrics — ARR, MRR, churn, NRR, CAC, LTV, and pipeline conversion.
  • Own the management reporting pack and board decks, including dashboards, executive summaries, and one-pagers.
  • Partner with Sales, Customer Success, and Product to keep numbers consistent across CRM, billing, and finance systems, automating recurring reports along the way.
MUST-HAVE SKILLS
  • SaaS metrics — working knowledge. Able to compute, report, and explain ARR/MRR, churn, NRR, CAC, LTV, and pipeline conversion, and speak to what drove a change.
  • Sound understanding of financials. P&L, cash flow, and revenue recognition fundamentals; able to tie operational metrics back to the financial statements.
  • Advanced Excel. Financial modelling, pivots, Power Query, lookup and array formulas, and clean
  • Power BI and PowerPoint. Data modelling and DAX for dashboards; decks that lead with a point of view rather than a wall of charts.
  • Analytical rigour. Numbers tie, assumptions are stated, and errors get caught before they reach the board pack.
GOOD TO HAVE
  • You have worked in a SaaS or subscription business before and know how the revenue actually flows.
  • You can pull your own data — SQL, a data warehouse, or raw billing and product-usage files.
  • You have automated reports so they run themselves, using Power Query, Power BI, macros, or Power Automate.
  • You have used a planning or billing tool such as Anaplan, Cube, Pigment, Zuora, or Chargebee.
  • You go a level deeper on metric definitions — gross vs net retention, ARR waterfalls, CAC payback, Rule of 40.
QUALIFICATIONS
  • MBA (Finance), CA, or CMA — or an equivalent qualification in Finance, Commerce, Business, or Analytics.
  • 2–5 years in FP&A, business finance, business analytics, or MIS, preferably in a SaaS or technology company.
  • Advanced Excel, working knowledge of Power BI, and the ability to build an executive-ready PowerPoint
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