Power BI Developer – Finance Domain

1 week ago

Visakhapatnam, India Celestinfo Software Solutions Pvt. Ltd. Full time

We are looking for a Power BI resource with strong expertise in the Finance domain, capable of directly engaging with Finance business users, and possessing excellent communication and analytical skills. Key Responsibilities : Design, build, and optimize Power BI dashboards, reports, and data models tailored to financial processes such as P&L, balance sheets, cash flow, budgeting, and cost analysis. Develop robust data models (Star/Snowflake) and ensure high-performance DAX calculations. Work closely with Finance, Accounting, FP&A, and Business teams to gather requirements and convert them into technical solutions. Implement row-level security (RLS) , data governance policies, and report access controls. Perform data cleaning, transformation, and loading using Power Query and DAX. Create automated refresh schedules , performance tuning, and data validation checks. Integrate data from ERP systems (SAP, Oracle, Dynamics, Tally, etc.), SQL databases, Excel, and cloud sources. Build financial KPIs, variance analysis, trend charts, forecasts , and other analytical models. Maintain version control, documentation, and ensure best practices in BI deployment . Troubleshoot issues related to data accuracy, refresh failures, or visual performance. Support ad-hoc analysis and deliver insights to non-technical finance users. Collaborate with cross-functional teams to enhance data processes and reporting automation. Required Skills & Experience : 5+ years of hands-on Power BI Finance domain experience. Strong communication skills and a proactive, self-starting attitude Solid business acumen, particularly in accounting and IFRS reporting standards    A keen eye for design and data visualization aesthetics Advanced proficiency in Power BI and DAX An advisory mindset, capable of guiding stakeholders with insights and recommendations Preferred Qualification : Experience with Azure Data Factory, Synapse, SQL Server , or other data engineering tools. Background in FP&A , financial analytics, or corporate finance. Ability to present insights effectively to management and stakeholders.

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