Business Intelligence Developer

masco; India; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Masco is seeking a BI Developer to build and operate enterprise dashboards, semantic models, and reporting assets for POS and related commercial data. You will work with the BI Delivery Leader and Data Engineering to ensure governed data is leveraged effectively across the BI lifecycle.

You will own dashboard and semantic modeling work, validate data quality, and collaborate with Data Engineers to implement shared pipelines and metrics.

Qualifications

• Bachelor's degree or higher in MIS, CS, Data Analytics, or related field.
• Proven experience delivering enterprise BI solutions.
• Experience delivering end-to-end reporting from requirements through production support.

Responsibilities

• Build and maintain enterprise dashboards and reports on Power BI using governed enterprise data.
• Deliver end-to-end reporting solutions including requirements confirmation, data sourcing, cleansing, normalization, and reporting.
• Develop, automate, and run user-friendly dashboards and reports.
• Handle report operations, refresh, and defect resolution for the enterprise BI layer.
• Build and improve semantic models and metric definitions to support reporting requirements.

Skills

Power BI

DAX

Data modeling

SQL

ETL/ELT

Data governance

Analytics

Education

Bachelor's degree or higher

Tools

Azure Data Factory

Databricks

SSIS

Microsoft Fabric

Power BI

Job description

Job Description

Role Summary

The BI Developer builds and operates the enterprise dashboards, semantic models, and reporting assets that make Masco's POS and adjacent commercial data usable to the business. This role delivers to the standards and direction set by the BI Delivery Leader and consumes the governed data foundation built by the Data Engineering team. The BI Developer contributes across the full BI lifecycle, including requirements confirmation, semantic modeling, dashboard build, testing, deployment, and ongoing support.

What You'll Own

Dashboard & Report Development

• Build and maintain enterprise dashboards and reports on Power BI using governed enterprise data.
• Deliver end-to-end reporting solutions including requirements confirmation, data sourcing, cleansing, normalization, and reporting.
• Develop, automate, and run user-friendly dashboards and reports.
• Handle report operations, refresh , and defect resolution for the enterprise BI layer .

Semantic Modeling & Metric Development

• Build and improve Microsoft Tabular semantic models and metric definitions to support reporting requirements.
• Implement enrichment metric calculations and segment classifications feeding the central dashboards.
• Assist with logical and physical data modeling to support business initiatives, in partnership with Data Engineers.
• Apply consistency and quality checks to metrics and semantic models before release.

Data Quality, Testing & Support

• Ensure data accuracy and integrity in dashboards and reports through disciplined testing and validation.
• Monitor automated ETL and BI processes for success and failures.
• Conduct root cause analysis to resolve dashboard, model, and data delivery issues.
• Provide general technical support and troubleshooting to BI end users.

Collaboration & Enablement

• Collaborate with end users to identify needs and opportunities for improved data management and delivery.
• Partner with the Data Engineering team on shared pipelines, models, and metric definitions.
• Partner with fellow BI Developers on modeling standards and metric definitions.
• Provide training and support to end users on BI tools, dashboards, and reports.

Documentation & Knowledge Management

• Document dashboard purpose, metric definitions, data sources, and refresh dependencies as part of the definition of done.
• Follow the documentation standards established by the BI Delivery Leader and Enterprise Data Architect.
• Contribute dashboard and semantic model metadata to the enterprise catalog.

Required Qualifications

Education & Experience

Bachelor's degree or higher in Management Information Systems, Computer Science, Data Analytics, or a related field; equivalent professional experience considered.

• Proven experience as a BI Developer, BI Analyst, or similar role, with demonstrated delivery of enterprise BI solutions.
• Experience delivering end-to-end reporting solutions from requirements through production support.

Technical Skills

• Advanced hands‑on expertise with Power BI , including Tabular models, DAX, and semantic modeling.
• Strong understanding of the medallion architecture (bronze / silver / gold) and how BI consumes governed enterprise data.
• Familiarity with Microsoft Fabric and how it fits alongside Power BI in a modern enterprise BI platform.
• Advanced SQL / T‑SQL (queries, stored procedures, functions, DDL, DML) for data wrangling and reporting on large volumes of data.
• Working knowledge of ETL/ELT patterns (Azure Data Factory, Databricks, SSIS or equivalent).
• Working knowledge of the Azure data stack as it supports the BI layer .
• Strong proficiency with data modeling, including ERDs, workflow diagrams, and dimensional (Kimball) modeling.
• Working knowledge of data constructs including data types, normalization, data quality analysis, and efficient BI modeling.
• Understanding of data governance, security, and access as they apply to enterprise BI and certified data sources.

Skills & Competencies

• Detail‑oriented and thorough. Ambitious and self‑motivated with strong attention to accuracy.
• Highly self‑motivated and self‑directed. Operates with minimal oversight on complex, hands‑on BI work.
• Strong analytical and problem‑solving abilities.
• Excellent written and verbal communicator.
• Willingness to explore and understand new and modern BI and analytics tools to add value to the enterprise POS and POS‑related analytics space.
• Collaborative with Data Engineers, fellow BI Developers, and end users.
• Continuous learner who stays current on modern BI and analytics practices.

Preferred Qualifications

• Experience in retail, consumer goods, or manufacturing analytics environments where POS, sell‑in, inventory, and third‑party retail data are core.
• Understanding of retail metrics (turns, GMROI, margin, category performance).
• Experience with Python, PowerShell, or other scripting languages for data automation.
• Familiarity with Databricks Unity Catalog, data lineage, and observability tools.
• Familiarity