Data Visualization analyst

Equifax; Karnataka; Vor Ort; INR 1.500.000 - 2.300.000; Vollzeit

Zusammenfassung

Equifax in Bengaluru, India seeks an experienced Data Visualization & Data Engineer to bridge data engineering and business intelligence. You will design, develop, and maintain high-performance Power BI solutions leveraging the Azure data stack for accurate, scalable reporting.

Work closely with Lead Engineers and Architects to ensure data powering visualizations is reliable and optimized for end-user performance.

Qualifikationen

• 3–6 years hands-on BI development experience, with at least 3 years in Power BI.
• 4+ years within Azure BI ecosystem (Azure SQL, Synapse, or Databricks) and Power BI Service.
• 3+ years with Power Query and SQL for data prep.
• Strong SQL skills including window functions, joins, and execution plans.
• Proven experience in dimensional modeling and scalable Power BI datasets.
• Bachelor’s degree in CS/Data Analytics or related field.
• Power BI Data Analyst Associate certification is highly preferred.

Aufgaben

• Design, develop, and maintain Power BI reports and dashboards.
• Implement RLS and manage workspace security in Power BI Service.
• Collaborate with data engineers on Medallion Architecture for BI.
• Optimize performance with Import vs DirectQuery and modeling optimizations.
• Contribute to CI/CD using Azure DevOps and manage .pbix deployments.
• Partner with architects to ensure data accuracy and end-user performance.
• Enable data governance and ensure data privacy across BI solutions.

Kenntnisse

Power BI

Azure BI

SQL

Power Query

Semantic modeling

DAX

Data visualization

Python/R integration

Ausbildung

Bachelor's degree in CS/Data Analytics

Tools

Power BI Service

Azure Synapse

Databricks

Unity Catalog

PySpark

SQL Window Functions

Jobbeschreibung

• Bangalore
• India
• Data & Analytics
• Full time
• 10/29/2026
• J00179980

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Manage Preferences

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

Synopsis of the role

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

Your focus will be on the end-to-end journey of data—from ingestion to the final dashboard.

• 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…