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Power BI Analyst

Power BI Analyst

GSPANN

4 - 9 years

6 - 13 Lacs

hyderabad gurugram

Posted:Just now| Platform:

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Skills Required

continuous integration bi pyspark azure data factory microsoft t-sql azure devops sql stored procedures analytics aas sql azure git spark devops oracle adf dax cube views communication skills cd python sql queries power bi microsoft azure azure analysis services power query

Work Mode

Work from Office

Job Type

Full Time

Job Description

SUMMARY

Technical Skills (Required):

Azure Analysis Services (AAS)

Authoring and optimising Queries and Views
Designing and managing Cubes (measures, KPIs, hierarchies)
Configuring Partitions and Performance Tiers

Power BI Semantic Models

Building tabular models: relationships, calculated measures (DAX), Dataflow
Data transformation with Power Query (M language)

Microsoft Fabric OneLake

Working with Delta Tables: creation, optimisation, maintenance
Implementing Mirror Tables and Direct Lake architectures
Databricks Connection (Good to have)

Row-Level Security (RLS)

Defining dynamic and static security roles
Testing and validating user-based access controls

Fabric Capacity Management

Sizing and scaling capacity (compute & storage)
Monitoring utilisation and cost optimization

SQL

Writing and tuning T-SQL queries in Azure SQL, Synapse, etc.
Creating Views, Stored Procedures, and maintenance scripts
Required Skills for PowerBI Analyst in Data & Analytics team

Technical Skills (Good - to - Have):

Fabric Notebooks (PySpark)

Python programming for big data processing with Spark APIs

Azure Data Factory (ADF)

Orchestrating data pipelines and integrating multiple data sources

Advanced DAX: time-intelligence, complex calculations, performance tuning

CI/CD & DevOps: Git, Azure DevOps pipelines, infrastructure as code

API Integration: REST/OData connectors, custom data ingestion

Performance Troubleshooting: query diagnostics, bottleneck analysis

Monitoring & Governance: Azure Monitor, Log Analytics, data cataloging

Confluence: for documentation

Soft Skills:

Effective Communication: presenting technical insights clearly to diverse audiences

Advanced English Proficiency: reading/writing documentation, collaborating with global teams

Team Collaboration: working closely with BI developers and engineers

Analytical Mindset: problem-solving and pattern recognition in data

Proactivity & Autonomy: driving improvements and anticipating business needs

Time Management: prioritising tasks and meeting deadlines

Adaptability: embracing changing requirements and new technologies

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GSPANN

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Plymouth

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