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Power BI Developer / Data Analyst (SQL + MS Fabric)

Power BI Developer / Data Analyst (SQL + MS Fabric)

Mavlers

5 years

0 Lacs

india

Posted:1 week ago| Platform:

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Skills Required

power developer data sql marketing engagement usability design reports extract integration governance documentation report dax publishing querying azure relational excel powerpoint reporting automation agile dashboard reliability visualization

Work Mode

Remote

Job Type

Contractual

Job Description

Job Title:

Location:

Shift Time:

Experience:

Department:

Engagement Duration:

Start Date:

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Client Side Interview Rounds:

About the Role

Power BI dashboards

Key Responsibilities

Design, develop, and maintain interactive dashboards and reports using
Power BI
.
Collaborate with internal stakeholders to translate business requirements into data models and visuals.
Write and optimize
SQL queries
to extract and transform data from multiple sources.
Work within
Microsoft Fabric
to orchestrate datasets and ensure smooth integration with Power BI.
Ensure data accuracy, performance, and governance within all dashboards.
Create documentation for models, data sources, and report logic.
Conduct UAT and iteration cycles based on user feedback.

Required Skills

Strong proficiency in
Power BI
(data modeling, DAX, visuals, publishing, workspace setup).
Advanced
SQL
knowledge for querying and data transformation.
Hands-on experience with
Microsoft Fabric
or related Azure data ecosystem tools (Data Factory, Lakehouse, etc.).
Strong understanding of relational databases and performance optimization.
Experience building scalable and visually consistent dashboards.
Familiarity with Excel, PowerPoint, or reporting tools for stakeholder presentations.

Nice to Have

Understanding of marketing data sources or business KPIs.
Knowledge of data governance, version control, or automation pipelines.
Experience working in agile or multi-project environments.

What You’ll Be Measured On

Speed and quality of dashboard delivery.
Accuracy, reliability, and visualization clarity of data.
Stakeholder satisfaction and adoption rate of delivered dashboards.

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