Data Visualization analyst

Equifax India

Bengaluru

On-site

INR 1,400,000 - 2,800,000

Full time

45 hours ago
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Job summary

Equifax India is seeking a Data Visualization & Data Engineer to design, develop, and maintain high-performance Power BI solutions. You will leverage the Azure data stack to ensure accurate, scalable data powering visualizations and BI storytelling for business users.

You will collaborate with Lead Engineers and Architects, focusing on DAX, Power Query, semantic modeling, and performance optimization to deliver trusted insights across the organization.

Qualifications

  • 3–6 years of BI development with Power BI focus.
  • 4+ years in Azure BI ecosystem and Power BI service.
  • 3+ years with Power Query and SQL for data prep.

Responsibilities

  • Design and build Power BI reports and dashboards following UI/UX and branding.
  • Write DAX and use Power Query for data shaping and logic.
  • Create semantic models with dimensional modeling for single source of truth.
  • Optimize performance and data connectivity (Import vs DirectQuery).
  • Collaborate with Data Engineers on Medallion Architecture for BI consumption.
  • Implement Row-Level Security and manage workspace permissions.
  • Participate in CI/CD with Azure DevOps and Power BI Projects.

Skills

Power BI
DAX
Power Query
SQL
Azure
Data Modeling
Dimensional Modeling
Python
R (optional)
BI Development

Education

Bachelor’s degree in CS/Data Analytics/related
Microsoft Certified: PL-300
Azure DP-203

Tools

Power BI Service
Azure SQL
Synapse
Databricks

Job description

As a Data Visualization & Data Engineer, you will bridge the gap between complex data engineering and strategic business intelligence. You are responsible for designing, developing, and maintaining high-performance Power BI solutions that turn raw data into actionable stories. Working closely with Lead Engineers and Architects, you will leverage the Azure data stack to ensure that the data powering your visualizations is accurate, scalable, and optimized for end-user performance.

What You’ll Do
  • Dashboard & Report Development: Design and build interactive, visually compelling Power BI reports and dashboards that adhere to UI/UX best practices and branding standards.
  • Advanced DAX & Power Query: Author complex DAX (Data Analysis Expressions) for sophisticated business logic and use Power Query (M) to perform advanced data shaping and cleaning.
  • Semantic Data Modeling: Translate business requirements into robust semantic models using Star Schemas and dimensional modeling to ensure "single source of truth" reporting.
  • Performance Optimization: Tune Power BI report performance through efficient data connectivity (Import vs. DirectQuery), column-level optimization, and DAX query refactoring.
  • Data Pipeline Collaboration: Work with Data Engineers to ensure the Medallion Architecture (Bronze/Silver/Gold) is optimized for BI consumption, occasionally writing PySpark or SQL to refine Gold-layer tables.
  • Data Governance & Security: Implement Row-Level Security (RLS) and manage workspace permissions within the Power BI Service and Unity Catalog to ensure data privacy.
  • Automated Testing & DevOps: Participate in the full CI/CD lifecycle using Azure DevOps , implementing version control for .pbix files (using Power BI Projects) and automating deployment schedules.
What Experience You Need
  • Visual Engineering Experience: 3–6 years of hands-on experience in BI development, with at least 3 years focused on Power BI.
  • Azure BI Ecosystem: 4+ years working within Azure (Azure SQL, Synapse, or Databricks) and the Power BI Service (Workspaces, Gateways, Capacities).
  • Data Transformation: 3+ years of experience with Power Query and SQL for data preparation.
  • Relational Mastery: Deep understanding of SQL window functions, joins, and execution plans to validate and troubleshoot the data underlying your reports.
  • Modeling Foundations: Proven expertise in Dimensional Modeling (SCD types, Fact/Dimension tables) and architecting scalable Power BI datasets.
  • Education/Certifications: Bachelor’s degree in CS, Data Analytics, or a related field.
  • Microsoft Certified: Power BI Data Analyst Associate (PL-300) is highly preferred.
  • Azure Data Engineer Associate (DP-203) is a significant plus.
What Could Set You Apart
  • Advanced Analytics Integration: Experience embedding Python or R scripts within Power BI for advanced statistical modeling or custom visuals.
  • Paginated Reports: Proficiency in Power BI Report Builder for pixel-perfect, operational reporting.
  • Modern Databricks Integration: Experience using Databricks SQL and Delta Sharing as high-performance data sources for Power BI.
  • Embedded Analytics: Knowledge of Power BI Embedded for integrating dashboards into custom web applications.
  • Data Storytelling: A strong portfolio demonstrating the ability to use color theory and information hierarchy to drive user engagement and decision‑making.
  • Infrastructure as Code (IaC): Familiarity with using Terraform or specialized tools to automate the provisioning of Power BI workspaces and capacities.

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