▷ Urgent Power BI Developer – Finance Domain

7 days ago


Anantapur, 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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