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Senior Data & Analytics Specialist

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Onsite

Senior Data & Analytics Specialist

Acesoft Labs

Senior Data & Analytics Specialist

Skills

SQL QueriesData EngineeringPythonData ScienceDatabricksData AnalysisMachine LearningAINo-code AutomationsProcess ImprovementPower BIAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

24 September 2026

What they need


Description:

Role Summary

We are looking for a highly motivated Senior Data & Analytics Automation Specialist to design, develop, automate, test, and operate enterprise-scale analytics and reporting solutions.

This role combines deep expertise in Power BI (40%) and Microsoft Fabric (30%) with hands-on experience in Process Automation (10%), Analytics Quality Engineering (10%), and AI / Microsoft Copilot / Cloud Technologies (10%).

The successful candidate will be responsible for delivering robust, scalable, and high-quality data products that enable business stakeholders to make data-driven decisions. The role covers the entire analytics lifecycle, including data engineering, semantic modelling, dashboard development, testing, automation, deployment, monitoring, and AI-enabled productivity.

Key Responsibilities

Power BI (40%)

  • Design and develop enterprise-grade Power BI dashboards and reports.
  • Create and maintain semantic models and star-schema data models.
  • Develop advanced DAX measures and calculations.
  • Optimize report and dataset performance.
  • Implement Row-Level Security (RLS) and governance standards.
  • Define reporting standards and visualization best practices.
  • Support self-service analytics initiatives.

Microsoft Fabric (30%)

  • Design and implement enterprise-scale Microsoft Fabric solutions.
  • Develop Lakehouse, Warehouse, and OneLake architecture.
  • Build and maintain Data Pipelines and Dataflows Gen2.
  • Implement end-to-end data engineering solutions.
  • Orchestrate ingestion, transformation, and serving layers.
  • Establish monitoring and operational support processes.
  • Implement data governance and security controls.

Process Automation (10%)

  • Automate reporting and business processes.
  • Develop solutions using Power Automate.
  • Build automation scripts using Python and/or PowerShell.
  • Implement CI/CD pipelines for analytics solutions.
  • Reduce manual effort through workflow automation.
  • Standardize deployment and release processes.

Analytics Quality Engineering (10%)

UI Testing

  • Define and execute automated testing of Power BI reports and dashboards.
  • Validate report navigation, filtering, drill-through behaviour, and visual rendering.
  • Create automated UI validation scenarios.
  • Support User Acceptance Testing (UAT).

Backend Testing

  • Test Microsoft Fabric Data Pipelines and Dataflows.
  • Validate Lakehouse and Warehouse processing.
  • Test semantic models and business logic implementations.
  • Verify data transformations and integration layers.
  • Integrate testing into CI/CD pipelines.

Data Quality Testing

  • Develop automated data quality checks.
  • Validate KPI calculations and business rules.
  • Perform source-to-target reconciliation.
  • Detect missing, duplicate, inconsistent, or invalid records.
  • Implement data quality monitoring and alerting.
  • Support root-cause analysis and issue resolution.

AI / Copilot / Cloud Technologies (10%)

  • Leverage Microsoft Copilot to enhance productivity and analytics delivery.
  • Apply AI-assisted reporting and analytics use cases.
  • Integrate Power BI and Fabric solutions with Azure services.
  • Evaluate emerging AI capabilities and their business value.
  • Promote responsible, secure, and compliant AI usage.
  • Support AI-driven process improvements and insights generation.

Required Skills

Power BI (40%)

Technical Skills

  • Advanced Power BI development
  • Expert DAX knowledge
  • Semantic model design
  • Star schema modelling
  • Power Query (M)
  • Row-Level Security (RLS)
  • Performance optimization
  • Dashboard UX and visualization best practices
  • Enterprise reporting experience

Microsoft Fabric (30%)

Technical Skills

  • Microsoft Fabric platform expertise
  • OneLake architecture
  • Lakehouse implementation
  • Warehouse implementation
  • Data Pipelines
  • Dataflows Gen2
  • Data engineering practices
  • Data orchestration
  • Monitoring and governance
  • Security implementation

Process Automation (10%)

Technical Skills

  • Power Automate
  • Python scripting
  • PowerShell scripting
  • CI/CD concepts
  • Release automation
  • Workflow automation
  • Operational automation

Analytics Quality Engineering (10%)

UI Testing Skills

  • Power BI report validation
  • Dashboard testing
  • Filter and drill-through validation
  • User experience testing
  • Regression testing

Backend Testing Skills

  • Fabric pipeline testing
  • Dataflow testing
  • Semantic model testing
  • ETL/ELT validation
  • API and integration testing

Data Testing Skills

  • Data quality frameworks
  • Data reconciliation
  • KPI validation
  • Business rule testing
  • Data profiling
  • Data anomaly detection
  • Data observability

AI / Copilot / Cloud (10%)

Technical Skills

  • Microsoft Copilot
  • Prompt engineering fundamentals
  • AI-assisted analytics
  • Azure cloud fundamentals
  • AI governance
  • Responsible AI principles

Business Skills

  • Stakeholder communication
  • Requirements gathering
  • Analytical thinking
  • Problem solving
  • Presentation skills
  • Agile and Scrum methodologies

Preferred Skills

  • Azure Data Factory
  • Azure Synapse Analytics
  • Databricks
  • SQL Server
  • Microsoft Purview
  • Azure DevOps
  • Git
  • REST APIs
  • Enterprise data governance
  • KPI management frameworks
  • Executive reporting
  • Data mesh concepts
  • Master data management

Experience Requirements

Mandatory

  • 5+ years in Data & Analytics roles
  • 3+ years Power BI experience
  • 2+ years Microsoft Fabric experience
  • Experience delivering enterprise reporting solutions
  • Experience working in Agile environments
  • Experience engaging with business stakeholders

Preferred

  • Experience supporting executive dashboards
  • Experience implementing enterprise governance frameworks
  • Experience working in cloud transformation initiatives
  • Experience in large global organizations

Education Requirements

Required

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related field

Alternative

  • Equivalent professional experience combined with relevant certifications

Nice-to-Have Qualifications

Microsoft Certifications

  • Microsoft Certified: Power BI Data Analyst Associate
  • Microsoft Certified: Fabric Analytics Engineer Associate
  • Microsoft Certified: Azure Data Engineer Associate
  • Microsoft Certified: Azure Solutions Architect Expert

Additional Certifications

  • Scrum Master Certification
  • Agile Practitioner Certification
  • Data Governance Certifications
  • AI and Machine Learning Certifications

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