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À propos de ce poste GAIN- Central Finance- Senior Finance Data Analyst chez This is Gain Ltd

This is Gain Ltd · Sur site · Mumbai, Maharashtra, India

JD- About the Role

We're hiring a Senior Power BI Developer & Microsoft Fabric Data Engineer to own and evolve our enterprise financial data platform. You'll take over a Fabric-based FP&A reporting ecosystem that integrates Finance, Payroll, and CRM data into a single source of truth, and continue the shift from manual, spreadsheet-based reporting to automated, near-real-time self-service analytics for Finance Business Partners and senior leadership.

Key Responsibilities

  • Own and administer the Microsoft Fabric platform (OneLake, Lakehouse, Warehouse, Dataflow Gen2) supporting FP&A and operational analytics.
  • Architect ETL/ELT pipelines integrating ERP (e.g., Sage Intacct), HR/payroll (e.g., Cezanne HR), and CRM (e.g., HubSpot) systems via REST APIs, CData connectors, and On-Premises Data Gateway.
  • Manage automated, multi-daily data refreshes with monitoring, alerting, and Teams-based notifications.
  • Build enterprise semantic models with RLS, standardized KPIs, and Time Intelligence calculations.
  • Develop self-service Power BI dashboards for Revenue, GP, COS, forecasting, budget vs. actuals, and WoW/YoY variance.
  • Partner with Finance Business Partners to automate forecast submissions (incl. VBA-enabled Excel) and streamline month-end close.
  • Ensure data governance, quality, and reconciliation across financial reporting, including GL and Trial Balance.
  • Optimize SQL, data models, and reports for performance at scale.
  • Provide training and support to drive self-service BI adoption.

Requirements

  • Core BI Tools- Power BI (advanced), DAX, Power Query (M), Semantic Modeling, RLS
  • Data Platform- Microsoft Fabric (OneLake, Lakehouse, Warehouse, Dataflow Gen2, Data Factory, Medallion Architecture)
  • Database & SQL- Advanced SQL (CTEs, joins, window functions), query optimization, Snowflake
  • Data Engineering- ETL/ELT design, dimensional modeling, star/snowflake schema, REST API integration
  • Automation, Alteryx, Advanced Excel & VBA, Power Query automation
  • Programming- Python (Pandas, NumPy), Jupyter (preferred)
  • Domain Knowledge- FP&A reporting, financial statements (GL, Trial Balance), KPI reporting, budget vs. actuals
  • Soft Skills- Stakeholder management, cross-functional collaboration (Agile/Scrum), end-user training

Preferred Qualifications-

  • Microsoft Certified: Fabric Data Engineer Associate (DP-700) — required or in progress.
  • Power BI certification (e.g., PL-300 or equivalent); Alteryx certification a plus.
  • Experience integrating finance/accounting (Sage Intacct, NetSuite), HRIS/payroll, and CRM (HubSpot, Salesforce) systems.
  • Media, e-commerce, or professional services background a plus.
  • Exposure to Azure Data Lake Storage Gen2, Fivetran, or similar ingestion tools a plus.
  • Bachelor's degree in Computer Engineering, IT, or related field.
    Success Metrics
  • Reduce manual month-end reporting cycles through automation (benchmark: 70% reduction previously achieved).
  • Maintain reliable, low-downtime automated data pipelines.
  • Increase self-service Power BI adoption among Finance and business stakeholders.
  • Sustain strong data governance and reconciliation standards.
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À propos de This is Gain Ltd

GAIN is a creative-led, insight-driven company blending data, technology, and creativity to deliver meaningful impact. Since our beginnings as the Sideshow Group, we’ve expanded our specialisms, broadened our perspective, and developed deep expertise to meet the world where it is.

Today, we operate as one unified brand with six core areas of expertise:
GAIN Experience, GAIN Conversion, GAIN Performance, GAIN Creative Studios, GAIN Innovations, and GAIN Customer Science.

We work in fluid, collaborative teams where talent is both nurtured and challenged. If you’re interested in joining us, view our current openings here. Don’t see a perfect fit right now? Feel free to apply speculatively — we regularly review talent pool submissions and will be in touch if a suitable opportunity comes up.

In the meantime, follow us on LinkedIn and Instagram to explore our latest blogs, events, and company updates.

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