Data Analyst

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

- Bi-monthly presentation on the concepts & new features which can be implemented in the day-to-day work.
Qualifications

- At least 3-5 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

- Clear communication skills

- Communicate data issues, variances and root-cause findings with clear analysis and recommendations