Senior Financial & Revenue Data Analyst

Job Details

Posted on: 
March 24, 2026
Job ID:

About the Company

Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn't be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide. 

With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.

About the Project

Our client is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Our API-first, developer-first platform turns complex data into faster, smarter, actionable decisions for over 2,000 global customers across financial services, retail, healthcare, and technology.

With the recent launch of Sisense Intelligence—including the Intelligence Assistant (natural-language analytics creation), Model Context Protocol (MCP) server (secure external LLM integration), and Managed LLM capabilities—we're accelerating innovation in embedded analytics, enabling governed, scalable AI experiences at enterprise scale.

Specialization

Headquarters

Years on the market

Team size and structure

Current technology stack

Required skills:

  • 4–6 years of experience in FP&A, revenue operations, financial data analysis, or similar role
  • Experience in a SaaS or recurring revenue business strongly preferred
  • Strong understanding of ARR, NRR, churn, expansion, and subscription metrics
  • Proficient in using Generative AI (ChatGPT, Claude, Gemini) to automate tasks and optimize daily workflows
  • Advanced Excel skills required
  • Proficiency in SQL required
  • Experience working with CRM systems (Salesforce preferred)
  • Experience with BI tools
  • Strong attention to detail and ability to reconcile complex datasets
  • Fluent English (written and verbal)

Scope of work:

We are seeking a highly analytical and detail-oriented Senior Financial & Revenue Data Analyst to support financial planning, reporting, and revenue analytics across our SaaS organization. This role will play a critical part in strengthening ARR governance, improving reporting scalability, and enhancing executive visibility into key SaaS metrics. The ideal candidate combines strong financial acumen with data fluency and thrives in a fast-paced, high-growth environment. This position partners closely with Finance, Revenue Operations, Sales Operations, and Executive Leadership.

Financial Reporting & FP&A Support

  • Own preparation of recurring monthly and quarterly financial reporting packages
  • Support variance analysis across revenue, expenses, and key operating metrics
  • Maintain and update forecasting and budgeting models
  • Partner with budget owners to collect, validate, and consolidate financial inputs
  • Improve reporting processes to increase efficiency and accuracy

Revenue & ARR Analytics

  • Own monthly ARR reporting, reconciliation, and documentation of ARR logic
  • Validate bookings, churn, expansion, and retention calculations
  • Reconcile ARR to billing and revenue data across CRM, billing platform, and ERP
  • Maintain cohort analyses and SaaS KPI reporting (NRR, GRR, CAC, LTV, etc.)
  • Identify trends and provide insight into revenue drivers and retention performance

Data & Automation

  • Develop SQL queries and data extracts to improve reporting automation
  • Build and maintain dashboards
  • Improve data integrity across CRM and financial systems
  • Support scalable data foundations for future automation and AI-driven reporting initiatives

Why ALLSTARSIT?

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