Time since we first saw it
Day 6
Similar jobs usually come down between day 5 and day 41.
At Equifax, jobs usually come down by about day 23.
From 10,707 similar postings that came down, and 71 of Equifax’s. Coming down is not always a hire.
Data Visualization analyst
IND-Bangalore-Equifax-Analytics
Actively hiring, first seen by us 6 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
What you’ll work on
Full postingDesign and build interactive Power BI reports and dashboards
Write complex DAX and Power Query (M) for business logic and data cleaning
Build star-schema semantic models for single source of truth reporting
Tune report performance, including Import vs. DirectQuery and DAX refactoring
Implement Row-Level Security and workspace permissions in Power BI and Unity Catalog
From the employer’s posting
Design and build interactive, visually compelling Power BI reports and dashboards
Author complex DAX (Data Analysis Expressions) for sophisticated business logic and use Power Query (M) to perform advanced data shaping and cleaning.
Translate business requirements into robust semantic models using Star Schemas and dimensional modeling
Tune Power BI report performance through efficient data connectivity (Import vs. DirectQuery), column-level optimization, and DAX query refactoring.
Implement Row-Level Security (RLS) and manage workspace permissions within the Power BI Service and Unity Catalog to ensure data privacy.
Education & alternatives
- 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.
Tools in this posting
- Python
- R
- SQL
- Azure
- Databricks
- Delta Lake
- Power BI
- Power Query
- Terraform
- PySpark
Source — Tool mentions in context
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.
- 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.
- 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.
- 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.
- 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.
- 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.
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
- 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
- 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
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 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).
- 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.
- 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.
- 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.
- 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.
- 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. #India
- 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.
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 20266 days ago
- Recorded sightings
- 7
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Equifax is hiring
17 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Analyst hiring is picking up
- Takes jobs down quickly
- 12% of open jobs were reposted
Your next step
Check the employer’s posting for the current role and application details.
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Already applied? Track this application
Has Equifax posted this job before?
Yes. We’ve followed one other Data Visualization analyst job there since April 2026. It came down after 38 days.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
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 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.
#India
We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
IND-Bangalore-Equifax-AnalyticsFunction:
Function - Data and AnalyticsSchedule:
Full timeSource details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
IND-Bangalore-Equifax-Analytics
#India We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks. Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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