Business Intelligence Specialist

Dun & Bradstreet; Hyderabad; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Dun & Bradstreet in Hyderabad, India seeks an experienced Data Quality/BI professional to design and implement enterprise Power BI dashboards and data quality programs. You will model data, govern reporting assets, and optimize Power BI environments to ensure timely, accurate insights for business stakeholders.

You will mentor teams, collaborate with Data Engineering, and apply CI/CD and modern data practices across GCP-based pipelines while translating complex metrics into clear executive

Qualifications

• 8+ years in Data Quality, Data Engineering, BI, analytics engineering, or related data platforms.
• Strong hands-on Power BI with enterprise reporting design and deployment capabilities.
• Expertise in semantic modelling, star/snowflake schemas, and governed datasets.

Responsibilities

• Develop and maintain Power BI dashboards, scorecards, and reports with actionable insights into data quality and ops.
• Build semantic models, advanced DAX, and reusable reporting assets with governance standards.
• Govern Power BI environments, including security, deployments, and data refresh pipelines.
• Implement automated dashboard refresh, scheduling, distribution, and monitoring processes.
• Define Data Quality KPIs and scorecards for completeness, accuracy, timeliness, and integrity.
• Create automated data validation and monitoring using SQL, Python, and cloud-native tools (prefer GCP).
• Perform profiling, anomaly detection, reconciliation, and root-cause analysis for data quality issues.
• Translate metrics into executive-ready narratives and drive data-driven decisions.
• Collaborate with Data Engineering on source-to-target flows and data models.
• Communicate findings clearly to technical and non-technical stakeholders; promote best practices.

Skills

Power BI

DAX

SQL

Python

Data modeling

ETL/ELT

GCP

Data Governance

CI/CD

Data Quality

Analytics Engineering

Education

Bachelor's degree in a relevant field

Tools

BigQuery

Dataflow

Dataproc

Composer/Airflow

Cloud Storage

Pub/Sub

Power BI Gateway

Job description

Key Responsibilities:

• Design, develop, and maintain enterprise-grade Power BI dashboards, scorecards, and reporting solutions that provide actionable insights into Data Quality and operational performance.
• Build and manage Power BI semantic models, including data modelling, advanced DAX, reusable measures, governed datasets, and reporting standards.
• Optimize and govern Power BI environments, including performance tuning, row-level security, deployment pipelines, workspace management, and Power BI Gateway administration to support secure and automated data refresh processes.
• Design and implement automated dashboard refresh, scheduling, distribution, and monitoring processes to ensure timely and reliable delivery of business-critical insights.
• Define and implement Data Quality KPIs and scorecards across completeness, accuracy, consistency, timeliness, validity, uniqueness, and referential integrity.
• Develop and enhance automated data validation, monitoring, and reporting frameworks using SQL, Python, and cloud-native technologies preferably GCP.
• Perform data profiling, anomaly detection, reconciliation, root-cause analysis, and trend analysis to identify and resolve data quality issues.
• Apply data storytelling techniques to transform complex data quality metrics into clear, compelling narratives and executive-ready insights that drive informed business decisions.
• Partner with Data Engineering teams to understand data models, source-to-target flows, pipeline dependencies, and operational data quality challenges.
• Collaborate with business stakeholders, product owners, and engineering teams to understand requirements and translate them into scalable reporting and monitoring solutions.
• Communicate complex data quality findings, trends, risks, and recommendations clearly to both technical and business audiences while driving continuous improvement initiatives.
• Leverage AI-assisted development, intelligent automation, and modern engineering practices, while mentoring team members and promoting best practices across Power BI, Data Quality, SQL, Python, and data modelling.

Key Requirements:

• 8+ years of experience in Data Quality, Data Engineering, Business Intelligence, Analytics Engineering, or related data platform roles.
• Advanced hands-on Power BI expertise (Level 6+ preferred) with the ability to design, build, optimize, secure, and deploy enterprise reporting solutions.
• Strong experience in Power BI semantic modelling, including star schemas, fact/dimension modelling, governed datasets, and reusable reporting assets.
• Advanced proficiency in DAX, including KPI development, time intelligence, variance analysis, and performance optimization.
• Strong SQL and Python skills for data analysis, automation, root-cause investigation, and data quality validation.
• Strong hands-on experience with Power BI Gateway, automated dashboard refresh scheduling, report distribution, and operational management of enterprise Power BI environments.
• Hands-on experience with data profiling, reconciliation, exception management, automated monitoring, and Data Quality KPI frameworks.
• Experience designing or supporting ETL/ELT pipelines and collaborating with Data Engineering teams on source-to-target data flows and data models.
• Experience with cloud-native data platforms, preferably GCP (BigQuery, Dataflow, Dataproc, Composer/Airflow, Cloud Storage, Pub/Sub), and modern engineering practices including CI/CD and observability.
• Strong understanding of Data Governance, Metadata Management, Data Lineage, Data Observability, and Data Quality best practices.
• Excellent communication, stakeholder management, and mentoring skills, with experience working in Agile environments and globally distributed teams.

Preferred Qualifications:

• Experience establishing Power BI modeling, DAX, dashboard design, governance, and deployment standards across a team or organization.
• Exposure to AI-assisted development tools (Copilot, Gemini, Claude, Copilot Studio) and familiarity with GenAI/Agentic AI concepts.
• Experience establishing Power BI governance, reporting standards, and reusable data quality frameworks across teams.
• Understanding of GenAI, Agentic AI, prompt engineering, retrieval-augmented generation, MCP/A2A concepts, or agent-based orchestration frameworks.
• Experience building reusable data quality rule repositories, metadata-driven validation frameworks, or automated exception management solutions.
• Experience presenting data quality metrics, operational risks, and remediation recommendations to senior stakeholders.