FULLTIME
GAIN- Central Finance- Sr Finance Data Analyst
Gainwell Commosales
Not specified · hybrid · Posted 13d ago
Sourced from
Undisclosed1–5 yrsfulltimeNot specified
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Section · 01
About this role
JD- About the Role
Were hiring a Senior Power BI Developer Microsoft Fabric Data Engineer to own and evolve our enterprise financial data platform. Youll take over a Fabric-based FPA 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 FPA 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- FPA 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.
- Bachelors 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
AutomationAgilecrmData EngineerAdvanced Excelcomputer engineeringapisbi toolsadvanced sqldata analystCentral FinancealteryxAnalyticsData EngineeringArchitectureAzure Data LakeData GovernanceAccountingMicrosoft Azure
Section · Company
About Gainwell Commosales
Gainwell Commosales
Industrial Machinery
2.0k+
employees
1944
82 years old
Kolkata, West Bengal
India
₹5.8L PA avg
Avg at Gainwell Commosales
About
Gainwell India is an authorized dealer of CAT Heavy Earth Moving machinery and offers products & technologies in the infrastructure sector.
Industries
Industrial Machinery
Employee ratings
10 reviews
4.1/ 5
Culture
3.8
Career growth
3.5
Work-life
3.9
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