Senior Power BI Developer

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Company Description

University Living is a global student housing marketplace, offering over 2 million beds in 65,000 properties across 515 international education hubs, including the UK, USA, Canada, Australia, and more. Our innovative platform enables students to find, compare, and book affordable accommodations tailored to their preferences, serving 2 million students across 1,000 universities since its launch in 2015. University Living has received numerous awards for its groundbreaking solutions, including recognition as the Best PropTech Solution by The Class Foundation and being named Startup Icon 2023 by Mint. In addition to student housing, we provide value-added services and a SaaS-based Property Management System, making us a comprehensive solution provider for the global student community.

Role Description

This is a full-time, on-site role for a Senior Power BI Developer located in Noida. The Senior Power BI Developer will be responsible for designing, developing, and implementing scalable Power BI dashboards and reports to provide actionable insights. Key responsibilities include understanding business data requirements, connecting to data sources, creating data models, optimizing data visualizations, and collaborating with stakeholders to gather reporting requirements. The role also entails improving reporting efficiencies and maintaining data accuracy and security.

Qualifications

  • Expertise in Power BI development, dashboard creation, and data analysis
  • Proficiency in SQL, data modeling, and data integration techniques
  • Experience in developing and managing ETL workflows and business intelligence tools
  • Strong analytical and problem-solving skills, with the ability to interpret complex datasets
  • Understanding of database management systems and data warehousing principles
  • Excellent communication and collaboration skills to work effectively with cross-functional teams
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field
  • Relevant certifications, such as Microsoft Certified: Data Analyst Associate, will be an advantage
  • Experience in the student housing or education domain is a plus

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