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YASH Technologies in Pune, India, is seeking a Sr. Data Analyst specializing in Power BI and Fabric to join our analytics team.
The role focuses on building Power BI datasets, data pipelines, and visualizations across on-premise and cloud landscapes, with strong data engineering and modeling skills. You will collaborate with onsite and offshore stakeholders, manage data governance, SDLC processes, and drive performance optimization in Spark and Databricks environments.
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Date: Jul 23, 2026
Job Requisition Id: 65614
Location: Pune, IN Pune, MH, IN
YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
We are looking forward to hirePower BI Professionals in the following areas :
Job Description:
Client is seeking a highly skilled self-motivated Azure Cloud Engineer/Senior Analyst to join our business intelligence team.
This individual will be responsible for Fabric, PowerBI with additional sound knowledge on building data pipelines, curation, integration and distribution of data across our on-prem and cloud landscape and building Power BI datasets and visualizations. We expect the candidate to have strong data engineering and data modeling knowledge.
Required Skills:
Desired Skills (Good To Have):
Responsibilities:
Education
The resource should have worked in OPS/Run teams(Support)
Must work from our client office two days a week
At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment.We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
Our Hyperlearning workplace is grounded upon four principles