Power BI Lead

About company

QBSS is a tech-enabled outsourcing firm thats changing the way companies think about finance, accounting, human resources and technology services. With world-class teams, highly personal services, and an online portal, you Get More to Go On

The trouble with most back-office outsourcing solutions is that they leave too many missing pieces in customer experience, work delivered, business reporting, and more. With smarter systems and over 2,300 specialists in multiple fields, such as finance and IT support, QBSS enables clients to see further, scale smarter, and stand stronger. And thats why we consistently achieve over 96% customer satisfaction ratings. Todays leaders are racing against time to perform and build not just reliable and scalable businesses, but solid infrastructure to support it as well. Our domain expertise, specialization and tools have improved business insights to enable clients from simply finding solutions to actively shaping them; from being pushed to act to proactively owning the action and outcome.

We utilize best practices to streamline labor-intensive processes by standardizing, optimizing, and automating the business for improved insights. We enable business leaders to simplify business complexities through timely action, speedy execution, and responsiveness.

Number of positions- 2

Budget- Max 28 LPA

Shift Time- 1 PM 10 PM

Mode of work- Remote

• 6 to 12 years of experience in Business Intelligence, Data Analytics, and Data Engineering (In case candidate is from core analytics company we are open on the experience level).
• 6+ years of hands-on experience with Power BI (DAX, Power Query, Modelling, Gateways).
• Should have experience in client management, team management
• Advanced SQL skills, including complex joins, performance tuning, and stored procedures.
• Need some one with strong communication skills as they have to interact with client.
• Strong expertise in Microsoft Fabric, including Lakehouse, Dataflows Gen2, Pipelines, and Warehouse.
• Deep knowledge of Azure Data Factory (good to have), ETL/ELT pipelines, and orchestration.

Preferred candidate profile