Senior Finance Data Analyst

GAIN

. Own and administer the Microsoft Fabric platform, including OneLake, Lakehouse, Warehouse, and Dataflow Gen2, for FP&A and operational analytics .

Posted 10/2/2026full-timeMumbai • IndiaSenior💰 ₹1,500,000 - ₹2,500,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Microsoft Fabric, Power BI, and advanced SQL for financial reporting and analytics. Proficient in ETL/ELT design, data governance, and automation to enhance self-service BI adoption and streamline financial processes.

Highest-signal resume keywords

Microsoft Fabric AdministrationAdvanced Power BI DevelopmentETL/ELT Pipeline ArchitectureSQL Query OptimizationMicrosoft Certified: Fabric Data Engineer Associate

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Power BIDAXPower QuerySQLETLELTREST API IntegrationAutomationVBAPython

Soft Skills

Stakeholder ManagementCross-Functional CollaborationEnd-User Training

Tools & Technologies

Microsoft FabricOneLakeLakehouseDataflow Gen2SnowflakeAlteryxJupyterAzure Data Lake Storage Gen2

Certifications & Qualifications

Microsoft Certified: Fabric Data Engineer AssociatePower BI Certification (PL-300)

Industry Keywords

FP&A ReportingFinancial StatementsKPI ReportingBudget Versus ActualsMediaE-CommerceProfessional Services

Tech Stack

Tools & technologies

AzureERPETLNumpyPandasPythonSQLVBA

About the role

Key responsibilities & impact

Own and administer the Microsoft Fabric platform, including OneLake, Lakehouse, Warehouse, and Dataflow Gen2, for FP&A and operational analytics
Architect ETL/ELT pipelines integrating ERP, HR/payroll, and CRM systems through 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 versus actuals, and WoW/YoY variance
Partner with Finance Business Partners to automate forecast submissions, including 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
Reduce manual month-end reporting cycles through automation
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

Requirements

What you’ll need

Advanced Power BI, DAX, Power Query (M), semantic modeling, and row-level security (RLS)
Microsoft Fabric experience, including OneLake, Lakehouse, Warehouse, Dataflow Gen2, Data Factory, and Medallion Architecture
Advanced SQL, including CTEs, joins, window functions, and query optimization
Snowflake experience
ETL/ELT design and dimensional modeling
Star and snowflake schema experience
REST API integration
Automation, Alteryx, Advanced Excel and VBA, and Power Query automation
Python with Pandas and NumPy
Jupyter experience preferred
FP&A reporting and financial statements knowledge, including GL and Trial Balance
KPI reporting and budget-versus-actuals analysis
Stakeholder management, cross-functional collaboration, Agile/Scrum, and end-user training
Microsoft Certified: Fabric Data Engineer Associate (DP-700) required or in progress
Power BI certification such as PL-300 or equivalent
Experience integrating finance/accounting, HRIS/payroll, and CRM systems
Bachelor's degree in Computer Engineering, IT, or a related field preferred
Media, e-commerce, or professional services background a plus
Exposure to Azure Data Lake Storage Gen2, Fivetran, or similar ingestion tools a plus