Role Summary

This role partners directly with US-based Corporate and Business Unit Finance teams to support consolidated reporting, budgeting and forecasting for RealPage globally, and to help build a best-in-class business analytics capability within India Shared Services and Corporate Functions.

RealPage is a subscription software business with an embedded payments and services layer, serving the real estate and property management industry. The financials behave accordingly - recurring revenue, deferred revenue, site and unit-driven billing, and transaction volume, and the analysis is expected to reflect that.

We are looking for someone who does more than produce the pack. You will be expected to shorten the distance between data and decisions, automating what repeats, using AI tools to accelerate analysis and drafting, and spending the time you save on judgement: explaining what moved, why it moved, and what leadership should do about it.

Primary Responsibilities

Reporting, Analytics & Commentary

• Prepare monthly financial metrics and KPIs specific to assigned products, segments, or functional groups.
• Own P&L and headcount reporting, analytics and commentary, delivering per published deadlines.
• Produce monthly variance reporting, Risks & Opportunities, and Flash reporting (pre-month-end expense estimates).
• Refresh and analyze billing logs, site activations, licenses, and revenue reconciliations.
• Identify, investigate, and explain key movements and trends across P&L lines and their components.
• Build executive dashboards and variance-walk content that a senior audience can act on without further explanation.
• Create ad hoc analysis on large datasets and draw defensible inferences, including sizing the impact and stating the confidence level of the conclusion.
• Report and interpret SaaS operating metrics for the assigned products or segments, ARR and ARR movement, net and gross revenue retention, churn, bookings-to-billings-to-revenue conversion, and unit economics and explain what they mean for the business, not only what they are.

Planning: Budget & Forecast

• Support monthly forecasts and the annual financial plan alongside US Finance partners, including analysis explaining changes against prior forecasts, plan and prior year.
• Model variance drivers for headcount, operating expense and revenue (billings) as required.
• Build and challenge revenue drivers on a subscription basis, units or sites, price, activations, attrition and expansion, rather than forecasting revenue as a single growth rate.
• Develop Risks & Opportunities under multiple scenarios and identify actions to bridge gaps to target.
• Help set and continuously improve the budget and forecast operating rhythm, managing stakeholders across geographies.

Month-End Close

• Drive assigned close activities in coordination with GL Accounting, AP, and other teams.
• Review accrual and reclass journal entries prior to posting.
• Track and review financials daily through the close window, comparing actuals to plan, forecast and prior period, and investigating unusual postings.
• Review vendor, purchase order, and invoice detail to support spend management and accrual identification.
• Provide a consolidated workday-by-workday view of impact to P&L and SG&A through preliminary and final close.

AI-Enabled Analysis, Automation & Process Improvement

• Apply approved AI and automation tools to the recurring FP&A workload, first-draft variance commentary, reconciliation explainers, data cleansing, document summarization and report assembly and reinvest the time saved in analysis and business partnering.
• Review and validate every AI-generated output before it is used. You remain accountable for the numbers, the sources and the narrative; unverified AI output is not an acceptable deliverable.
• Identify manual, repetitive or error-prone processes and propose the fix: automation, template redesign, tool change or process elimination. Bring a business case, not just an observation.
• Participate in and support Finance Transformation initiatives; share working automations, prompts and techniques with the wider team rather than keeping them local.

Business Partnering

• Collaborate with senior team members and business line CFOs on recurring and ad hoc requests, including monthly reviews, Board decks, monthly forecast reviews and headcount approvals.
• Engage US partners directly, surface process pain points, initiate improvement projects, allocate the right resources and report project status.
• Work as part of a distributed team across the region, with regular exposure to regional and global Finance leadership.

Qualifications

Education & Experience

• Bachelor’s degree in finance, Accounting, Economics or a related field required. MBA (Finance), CA or ICWA is an added advantage.
• Senior Analyst: 6–9 years of relevant experience, with at least 4 years of experience in FP&A.
• Experience supporting a US-based or global finance organization in a shared-services or captive model is an added advantage.

Core Technical Skills

• Advanced Excel - complex modelling, large-data manipulation, Power Query, and models built for another person to audit.
• PowerPoint - able to build an executive-ready variance walk or Board slide with minimal rework.
• Hands-on with an enterprise EPM / ERP platform; Oracle EPM (Hyperion / EPBCS) preferred.
• BI and visualisation tools — Power BI or Tableau; able to build and maintain a report, not just consume one.

Industry & Domain Knowledge — Preferred

RealPage operates a subscription software business with an embedded payments and services layer, serving the real estate and property management sector. Candidates who already understand that model will contribute months earlier:

• Working knowledge of the SaaS business model - the difference between bookings, billings, deferred revenue and recognized revenue, and why the three rarely move together in a month.
• Fluency in core SaaS metrics: ARR and ARR waterfall (new, expansion, contraction, churn), net and gross revenue retention, logo vs. dollar churn, ACV, CAC and payback, LTV/CAC, magic number and Rule of 40.
• Knowledge of subscription revenue recognition under ASC 606, and its practical effect on forecasting, multi-element arrangements and implementation or professional-services revenue.
• Familiarity with recurring revenue cost structure and margin analysis - cost of revenue vs. hosting and support, R&D capitalization, sales and marketing efficiency, and gross margin by product line.
• PropTech or real estate technology exposure - Exposure to real estate or property technology, whether multifamily, single-family or commercial, along with a sense of how unit counts and site activations drive revenue.
• FinTech or payments finance exposure - Any exposure to payments or transaction-based revenue, and how it differs from subscription revenue, is a plus.
• Experience in a high-growth or acquisitive technology business — integrating an acquired entity's financials, harmonising metric definitions across products, and reporting organic vs. inorganic growth separately.

Deep prior SaaS experience is not a hard requirement, but candidates should be able to speak credibly about how a recurring-revenue business is measured and be prepared to learn the sector quickly.

AI & Data Fluency - Strongly Preferred

Candidates are not expected to be technologists. They are expected to be current. The following will materially strengthen an application:

• Practical, hands-on use of an enterprise AI assistant (Microsoft Copilot, Claude, ChatGPT Enterprise or similar) on real finance work - not familiarity with reading about it.
• Demonstrated prompt-writing ability: can break a finance task into instructions, supply the right context, and iterate toward a usable output.
• Judgement about where AI helps and where it does not - including a working understanding of hallucination risk and why every AI-produced number must be traced to source.
• Any experience automating a finance workflow end to end (Power Automate, Alteryx, Python scripts, AI-assisted pipelines) and evidence of the hours or error rate it removed.
• Willingness to keep learning as the toolset changes. The tools in use today are unlikely to be the tools in use in eighteen months.

Candidates may be asked to walk through a specific example of AI-assisted or automated work they delivered, including how they validated the output.

Competencies

• Strong analytical reasoning and intellectual curiosity - pursues the driver behind the number, not just the number.
• Clear written and verbal communication with senior, remote, cross-cultural stakeholders.
• High ownership and accuracy under close-cycle deadlines.
• Comfort with ambiguity and changing priorities in a fast-moving, acquisitive business.
• Bias toward improving the process, not just completing the task.

What This Role Is Measured On

• Ownership of the assigned reporting and close deliverables, with limited review rework.
• Commentary is used by US partners as written, because it explains cause rather than restating variance.
• Progress on simplifying or automating recurring manual work in the process area.
• Recognition from US stakeholders as a partner they bring questions to, not only a producer of reports.
• Growing fluency in the product portfolio and its metrics, to the point of being able to question a forecast assumption rather than only report the variance it produced.