Power BI Developer

DataPhi; Pune District; On-site; INR 700,000 - 1,200,000; Full time

Job summary

DataPhi is seeking a Power BI Developer to transform raw data into actionable insights. You will design interactive dashboards, build data models, and connect multiple data sources to support data-driven decisions.

The role emphasizes DAX, SQL, and Azure/AWS expertise, with collaboration across stakeholders and a focus on data integrity and performance of reports.

Qualifications

• 2-4 years’ experience in end-to-end analytics projects.
• Hands-on experience with Azure + Power BI / AWS + Power BI.
• Experience connecting to files, databases, and sources for Power BI data.
• Proficient in DAX measures, calculated tables and time intelligence.
• Ability to create user-friendly dashboards for executives.

Responsibilities

• Design and develop interactive dashboards, reports, and data models in Power BI.
• Connect to diverse data sources (APIs, databases) and ensure data integrity.
• Build robust data models and apply Power Query for transformations.
• Create time intelligence measures and BI visuals for business insights.
• Collaborate with analysts, engineers, and stakeholders to gather requirements.
• Provide maintenance, optimization, and user training for dashboards.

Skills

Power BI

DAX

SQL

Azure

AWS

Data modeling

Data visualization

ETL

Communication

Tools

Power Query

Azure Analysis Services

SSAS

Azure Data Factory

Job description

As Power BI Developertransforms raw data into actionable insights by designing and building interactive dashboards, reports, and data models using Microsoft Power BI, connecting various data sources, and collaborating with stakeholders to meet business needs for data-driven decisions, focusing on technical skills likeDAXandSQL, alongside problem-solving and communication. DataPhi is now seeking highly motivated experts to join our Data analytics team.

Key Responsibilities

• Design & Development: Create user-friendly dashboards , interactive reports ,and data visualizations.Help customers with next generation user experience using Power BI advanced visuals, especially with CxOs & senior management
• Data Modeling: Build robust data models, use Power Query for data transformation, and write DAX formulas .
• Data Integration: Connect to various data sources (APIs, databases, etc.) to consolidate data.
• Stakeholder Collaboration: Work with business analysts, data engineers, and business users to gather requirements and validate solutions.
• Data Integrity: Ensure accuracy, security, and compliance of data within reports.
• Maintenance & Support: Troubleshoot issues, optimize performance, and provide user training.

Skills & Experience: Key Requirements

Required

• 2-4 years’ experience of working on end-to-end Analytics project.
• 2-4 years of hands-on experience with Azure ecosystem + Power BI / AWS ecosystem + Power BI
• Experience with connecting to files, databases, and other sources to get data in Power BI , Modelling of tables and sound knowledge of DAX to create measures, calculated tables etc.
• Experience in creating custom Time Intelligence measures, Dimensional Hierarchies and other measures using DAX.
• Experience in creating business friendly and visually appealing dashboards by improvising on features provided by Power BI.
• Extensive experience in using bookmarks, view selections and actions to customize look and feel/navigation of dashboards.
• Experience in using Power Query for making any changes while reading data
• Exposure to Creating and maintaining partitions in Analysis Services based on datasets.
• Experience in building Tabular models in Azure Analysis Services/SSAS
• Excellent written and verbal communication skills.

Good to have

• Experience in using Azure Data Factory/SSIS as ETL tool for building a data warehouse/data lake
• Experience with other Azure components for data handling and data transformation
• Working knowledge of Azure services like Blob Storage, Event Hub, Azure Function etc.
• Experience in design and build of various ETL routines using data integration tools.
• Exposure to data science & ML – Azure ML /AWS Sagemaker – As added advantage
• Strong hands-on experience in following areas:
• Additional desirable skills: Exposure to data analytics, statistical model development will be added advantage.
• MS Power BI – Primary skill
• MS Azure Analysis Services – Primary skill
• SQL query – Primary skill
• MS Azure Data Factory – Added advantage
• Sound knowledge of Data Warehousing and modelling concepts.