Join Onecom as a Finance Data Analyst in Gurgaon, working in UK shift hours. You will support the FP&A team by owning data extraction, validation, reconciliation, reporting, and analysis using SQL, Python, and modern BI tools. Ideal for candidates with a blend of finance knowledge and advanced analytics.

About the Company

Onecom is the UK’s leading business technology provider, shaping the way businesses connect, communicate, and operate. With over 800 talented employees, Onecom delivers exceptional customer experiences driven by their core values: Think Kaizen, Be Respectful, Build Relationships, Make it Happen, Work Smart, Be Amazing. As a multi-award-winning organisation, they serve a diverse client base across telecommunications, SaaS, and technology solutions, with a strong global presence including their Indian office in Gurgaon.

Role Overview

We are seeking a highly analytical and self-driven FP&A Data Analyst to join Onecom’s Finance Data & Analytics function based in Gurgaon (UK shift hours). This role is critical to supporting the FP&A team by owning the full lifecycle of finance data — from extraction and validation to reconciliation, reporting, and actionable analysis. You will work closely with UK-based Finance stakeholders, delivering accurate datasets, resolving complex data discrepancies, automating reporting processes, and providing insights that influence strategic business decisions. This is an excellent opportunity for someone who enjoys combining financial acumen with advanced data analytics and process automation in a fast-paced environment.

Key Responsibilities

• Engage directly with Finance stakeholders to gather requirements, define scope, and deliver high-quality datasets with minimal supervision.
• Query, extract, and transform data from multiple sources including Google BigQuery, Salesforce, NetSuite, billing platforms, and other databases.
• Build, maintain, and optimise datasets used across the FP&A and wider Finance teams.
• Perform detailed financial and operational analysis including variance analysis, trend analysis, forecasting support, and key business driver analysis.
• Own end-to-end reconciliations across CRM, ERP, billing, and finance systems, investigating discrepancies and agreeing corrective actions with data owners.
• Design and implement robust data validation controls and quality assurance processes.
• Automate recurring reporting, reconciliation, and data transformation activities using SQL, Python, and other analytical tools.
• Prepare reports, dashboards, and presentations that clearly communicate findings and recommendations to Finance stakeholders.
• Collaborate with the wider Data & Analytics team to ensure alignment with company-wide data processes and standards.
• Document processes, business rules, data definitions, and reconciliation methodologies for long-term sustainability.
• Manage priorities independently while providing regular updates across UK and India teams.

Tech Stack

• Databases & Warehousing: Google BigQuery, SQL databases (unspecified), other databases
• CRM & ERP: Salesforce, NetSuite (or equivalent ERP)
• BI & Visualization: Exposure to Power BI, Tableau, or Looker preferred
• Automation & Analysis: Python (pandas, NumPy, etc.), Advanced Excel (pivot tables, VLOOKUPs, large datasets)
• Other: Billing platforms, reconciliation tools, data governance and validation frameworks

Advanced SQL, strong Python, advanced Excel, Google BigQuery, Salesforce, NetSuite or other ERP, financial reconciliation, understanding of P&L, revenue recognition, accruals, month-end processes. Experience in telecom/SaaS/recurring revenue businesses is a bonus. Ability to work independently with UK stakeholders.

18 days annual leave (incl. 6 UK Bank Holidays), 7 casual leave, 7 sick leave, birthday off, 7 Indian public holidays, medical insurance after probation, cab service for select locations.