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    Job · 19129310

    Acesoft Labs logo

    Senior Data & Analytics Specialist

    Acesoft Labs · Bengaluru · onsite · Posted 27d ago

    Undisclosed4–8 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    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

    Sourced from naukri

    Skills

    Microsoft FabricData AnalyticsGoogle DataFlowPower BiETLMicrosoft AzureArtificial Intelligence

    About Acesoft Labs

    Acesoft Labs logo

    Acesoft Labs

    IT Services & Consulting

    175

    employees

    2010

    16 years old

    Bangalore / Bengaluru, Karnataka

    IN

    ₹6.9L PA avg

    Avg at Acesoft Labs

    About

    Acesoft Labs is a leading technology solutions provider, specializing in cutting-edge technologies, ITeS, IT Staffing & Consulting Services, and Quality Engineering.

    Industries

    IT Services & ConsultingRecruitment

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