Power BI

Key Responsibilities

Design and develop

interactive dashboards and reports

in Power BI using DAX, Power Query (M), and data modeling best practices.

Build and manage

Power Automate flows

to streamline business processes and automate recurring data operations.

Use

Python

for advanced data wrangling, API integrations, and custom analytics not natively supported by Power BI.

Develop

ETL pipelines

integrating diverse sources (SharePoint, Dataverse, SQL Server, Excel, APIs, etc.).

Collaborate with stakeholders to translate business requirements into scalable technical solutions.

Implement

role-based access control (RBAC) , dataset refresh schedules, and gateway configurations.

Optimize query performance and data refresh reliability across Power BI and Fabric.

(Nice-to-have) Work with

Microsoft Fabric’s Lakehouse, Dataflows Gen2, and Notebooks

for unified data and analytics development.

Maintain documentation and ensure adherence to governance, compliance, and data security standards.

Required Skills & Experience

4–8 years of professional experience in

Power BI

(data modeling, DAX, report design, and performance tuning).

2+ years of experience with

Power Automate / Power Apps

(workflow design, approval processes, connectors, etc.).

Strong proficiency in

Python

(Pandas, Requests, REST API handling, data transformations).

Good understanding of

SQL

and relational data concepts.

Experience integrating Power BI with

Azure services

(e.g., Synapse, Data Lake, Logic Apps) preferred.

Excellent problem-solving, analytical, and communication skills.

Good-to-Have

Experience with

Microsoft Fabric , particularly with

Lakehouse, Data Warehouse, Data Factory, and Notebooks .

Exposure to

Azure DevOps CI / CD pipelines

for Power BI deployments.

Familiarity with

enterprise data governance

frameworks and data lineage tools.

Education

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.

Microsoft certifications such as

PL-300 (Power BI Data Analyst)

or

PL-500 (Power Automate RPA Developer)

are a plus.