Power BI Analyst
1 month ago
Job Description :
Responsibilities :
- Power BI Master : Utilize your expertise in Power BI to design, develop, and maintain user-friendly, interactive dashboards and reports that translate complex data into clear and actionable insights.
- Data Storytelling : Craft compelling data stories that effectively communicate insights to stakeholders across all levels of the organization, fostering a data-driven culture.
- Data Modeling & Transformation : Clean, transform, and model data using Power Query and Dataverse to ensure accurate and reliable data visualization.
- Automation Champion : Leverage Power Automate to automate data pipelines and workflows, streamlining data integration and analysis processes.
- Data Source Integration : Connect Power BI to various data sources, including databases, APIs, and cloud-based platforms, to ensure access to all relevant data.
- Collaboration is Key : Work closely with business analysts, data scientists, and other stakeholders to understand their needs and translate them into effective data visualizations.
- Reporting & Maintenance : Deliver regular reports and maintain existing dashboards, ensuring data accuracy and relevance over time.
- Stay Ahead of the Curve : Demonstrate a continuous learning mindset and stay updated with the latest advancements in Power BI and related technologies.
Requirements :
- Power BI Expertise : 2+ years of experience working with Power BI, including proficiency in report creation, data modeling, and DAX scripting.
- Power Automate Proficiency : Experience with Power Automate to automate data flows and workflows is a plus.
- Dataverse Knowledge : Understanding of Microsoft Dataverse and its integration with Power BI is beneficial.
- Data Transformation Skills : Strong skills in data cleaning, transformation, and manipulation using Power Query.
- Data Visualization : A keen eye for design and a talent for creating clear, concise, and visually appealing dashboards.
- Business Acumen : Ability to understand business needs and translate those needs into actionable data insights.
- Communication Skills : Excellent written and verbal communication skills to effectively communicate complex data findings to both technical and non-technical audiences.
- Collaboration is Key : Proven ability to work collaboratively within a team environment
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