Job Description

Responsibilities

• Provide expertise in PowerBi Analytics
• Create data models, advanced DAX calculations, and custom measures to support business analytics needs
• Create ELT flows, Data warehousing, Azure Data Pipelines
• Stay up to date with Power BI features and best practices.
• Innovate and be creative in your data analysis, problem solving and presentation of solutions
• Cross functional capabilities in various teams in Advance Analytics
• Handle outages or issues raised on Service now in the form of tickets / incidents
• Take additional responsibilities as & when required
• Help train new hires in all processes & skillsets required & mentor them
• Coach, motivate and guide the junior team members
• Bi-monthly presentation on the concepts & new features which can be implemented in the day-to-day work.

Qualifications

• At least 5-8 years’ experience in data analytics along with UG / PG degree
• Good understanding of PowerBI Analytics, Data Flows, SQL, Cloud Solutions (Azure) + Python.
• Experience in Snowflake, MS Fabric, Tabular Editor, Paginated reports, Power automate & dbt
• Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic into clean and reusable datasets.
• Experience in supporting Analytic solution roll outs and working across different time zones.
• Experience managing projects or working towards a deadline.
• Working with clients or customers internal or external.
• Experience working in an Agile/DevOps environment using design thinking methodology.
• Experience with effective communication at different levels in the organization.
• Willingness to accommodate work schedules that align with onsite hours & weekend schedules
• Upskill on new technologies to implement on the job / new business requirement
• Strong attention to detail and ability to ensure data accuracy
• Ability to work with global teams across time zones
• Clear communication skills
• Communicate data issues, variances, and root-cause findings with clear analysis and recommendations