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Associate Financial Analyst - PowerBI/DAX Expert

3 - 7 years

3 - 7 Lacs

Posted:11 hours ago| Platform: Foundit logo

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Job Type

Full Time

Job Description

A.P. Moller Maersk is an $81.5 billion global shipping & logistics leader, a Danish business conglomerate founded in 1904, with extensive activities in the transport, logistics, and energy sectors. As the largest container ship and supply vessel operator in the world since 1996, Maersk is headquartered in Copenhagen, Denmark, with subsidiaries and offices across 130 countries and around 110,000 employees. Our vision is to improve lives for all, by integrating the world. To know more about everything that Maersk does, visit us at Maersk.com. Job Overview: We are seeking a highly skilled Associate Financial Analyst with strong expertise in Power BI dashboard creation, financial and accounting datasets, and data modeling using DAX queries . The ideal candidate will have a solid background in data analysis, reporting, and financial insights generation, combined with advanced technical skills in data visualization and modeling. You will play a crucial role in transforming complex financial data into actionable insights that drive strategic business decisions. Position Details: Position: Associate Financial Analyst Experience: 6 to 10 years Location: Pune, India Education: Bachelor of Engineering in Computer Science/IT or MCA, with Power BI Certification Key Responsibilities: Dashboard Development: Develop and maintain interactive Power BI dashboards to provide actionable financial insights to various stakeholders. Data Analysis & Modeling: Analyze and model complex financial and accounting datasets to support strategic business decisions and reporting requirements. DAX Optimization: Design, implement, and optimize DAX queries to ensure efficient data calculations, robust reporting, and high performance within Power BI. Cross-functional Collaboration: Collaborate effectively with cross-functional teams, including finance, IT, and other business units, to gather requirements, understand data nuances, and deliver tailored solutions. Data Quality & Consistency: Ensure the accuracy, reliability, and consistency of financial data across all reports and dashboards. Performance Enhancement: Optimize data models to significantly enhance reporting performance and user experience. Continuous Learning: Stay updated with the latest Power BI features, best practices in data visualization, and advancements in financial analytics. Stakeholder Management: Engage proactively with internal and external stakeholders to align objectives and expectations, ensuring successful project delivery. Conflict Resolution: Identify and resolve conflicts effectively to maintain strong team cohesion and collaborative relationships. Effective Communication: Communicate complex financial insights and recommendations clearly, concisely, and persuasively to diverse technical and non-technical audiences. Project Planning: Develop comprehensive project plans, set realistic milestones, and manage deadlines to ensure the timely and successful delivery of reporting solutions. Required Skills and Qualifications: Experience: 6 to 10 years of experience in financial data analysis and Power BI dashboard development. Power BI Proficiency: Expert-level proficiency in Power BI Desktop, Power Query, and DAX (Data Analysis Expressions) . Financial Data Understanding: Strong understanding of financial and accounting datasets and comprehensive reporting requirements. Data Modeling Expertise: Proven expertise in data modeling techniques and performance optimization specifically within Power BI. Software Skills: Advanced Excel skills and familiarity with SQL databases. Analytical Aptitude: Excellent analytical and problem-solving skills, with a keen eye for detail. Interpersonal Skills: Strong communication and interpersonal skills to interact effectively with both technical and non-technical stakeholders. Preferred Qualifications: Certifications: Certification in Microsoft Power BI . Cloud Experience: Familiarity with cloud-based data services (e.g., Azure Synapse, AWS Redshift, Google Big Query). ETL Tools: Experience with ETL processes and tools like Azure Data Factory. Finance Knowledge: Solid knowledge of finance principles and corporate accounting practices.

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