Power Platform Data Analyst (Level 3)

Role Summary We are seeking an experienced Power Platform Data Analyst to join a high-performing analytics and process optimization team focused on improving organizational efficiency through data-driven insights, automation, and modern technologies such as GenAI. This role involves designing and delivering impactful Power BI dashboards and reporting solutions, working closely with cross-functional stakeholders to translate business needs into scalable analytics products. Key Responsibilities • Design, build, and maintain interactive Power BI dashboards, reports, and data models to support business insights and decision-making. • Collaborate with stakeholders to gather, document, and translate business requirements into analytical solutions. • Develop and maintain data pipelines, data transformations, and business logic using Power Query (M), DAX, and SQL. • Create clear documentation for dashboards, datasets, metrics definitions, and data sources. • Provide end-user support, training, and troubleshooting, ensuring high adoption and usability of reporting tools. • Continuously enhance reporting solutions by incorporating feedback and identifying optimization opportunities. Required Skills & Experience • 5–7 years of overall experience, with at least 3+ years in data analytics / business intelligence roles. • Strong expertise in: • Microsoft Power BI (Desktop & Service) • DAX (Data Analysis Expressions) • Power Query (M Language) • Hands-on experience with Power Platform tools: • Power Apps • Power Automate • Dataverse • Solid proficiency in SQL for data querying, transformation, and analysis. • Strong analytical thinking and problem-solving skills. • Excellent communication and stakeholder management skills, with the ability to present insights effectively. Preferred Qualifications • Experience in financial services, investment banking, or related domains. • Exposure to emerging technologies, particularly Generative AI use cases and applications. • Familiarity with Snowflake (including Snowflake Cortex) is a plus. Work Environment • Hybrid work model with in-office presence required (3 days per week). • Collaborative, fast-paced environment focused on innovation, automation, and continuous improvement

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