Power BI Engineer

Requirements Gathering & Analysis Collaborate with business stakeholders, department heads, and executive leadership to gather, document, and analyze business intelligence and reporting requirements; translate business questions into technical specifications for data models, dashboards, and analytical solutions.

Data Modeling & Architecture Design and develop logical and physical data models (star schema, snowflake schema) to support enterprise reporting needs; define fact and dimension tables, establish relationships, and optimize data structures for query performance and scalability.

ETL/Data Pipeline Development Design, build, and maintain Extract, Transform, Load (ETL/ELT) processes to consolidate data from multiple heterogeneous source systems (e.g., SQL Server, Oracle, SAP, Salesforce, cloud data warehouses) into centralized data warehouses or data marts, ensuring data accuracy, consistency, and integrity.

Power BI Dashboard & Report Development Design, develop, and deploy interactive dashboards, scorecards, and reports using Microsoft Power BI, including: Building complex DAX (Data Analysis Expressions) measures, calculated columns, and calculated tables for advanced business metrics (KPIs, YoY/MoM trends, running totals, variance analysis) Developing and optimizing Power Query (M language) transformations for data cleansing, shaping, and integration Constructing and maintaining Power BI data models using best practices for relationships, cardinality, and row-level security (RLS) Publishing and managing reports/datasets via the Power BI Service, configuring scheduled data refreshes, gateways (On-Premises Data Gateway), and workspace access controls Creating reusable Power BI templates, custom visuals, and paginated reports (Power BI Report Builder) for standardized enterprise reporting Implementing Power BI Premium/Fabric capacity optimization techniques to manage performance for large datasets

SQL Development & Database Querying Write and optimize complex SQL queries, stored procedures, views, and functions to extract, aggregate, and analyze large datasets from relational databases; perform query performance tuning and indexing recommendations.

Data Analysis & Statistical Interpretation Conduct quantitative and qualitative analysis of business data to identify trends, patterns, correlations, and anomalies; apply statistical methods to support forecasting, variance analysis, and root-cause investigation of business performance issues.

KPI Development & Performance Metrics Partner with business units (Finance, Sales, Operations, Risk, or Client Delivery) to define, standardize, and track key performance indicators (KPIs) and metrics aligned with organizational strategic goals.

Data Governance & Quality Assurance Establish and enforce data quality standards, validation rules, and reconciliation processes; document data lineage, business logic, and metadata to maintain a single source of truth across reporting platforms.

Cross-Functional Collaboration Work closely with data engineers, database administrators, software developers, and business analysts to ensure BI solutions integrate seamlessly with enterprise data architecture and align with IT governance standards.

Ad Hoc & Self-Service Analytics Enablement Develop self-service BI capabilities by training business users on Power BI report consumption and basic report authoring; create documentation, data dictionaries, and user guides to support organizational BI adoption.

Presentation of Insights to Leadership Prepare and present analytical findings, dashboards, and business recommendations to senior management and executive stakeholders to support data-driven decision-making.

Tool & Technology Evaluation Evaluate and recommend BI tools, visualization techniques, and emerging technologies (e.g., Power BI, Tableau, Azure Synapse, Microsoft Fabric, Python/R for advanced analytics) to enhance the organization’s business intelligence capabilities.

Security & Compliance Implement role-based access controls and row-level security within BI platforms to ensure sensitive business and financial data is accessed only by authorized personnel, in compliance with organizational and regulatory data governance policies.

Documentation & Change Management Maintain technical documentation for BI solutions including data flow diagrams, source-to-target mappings, and version control of Power BI reports/datasets; manage change requests and enhancements through a structured SDLC/Agile process.

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field.
• 5-7 years of experience in Business Intelligence, Data Analytics, or Reporting.
• 5+ years of hands-on experience with Power BI Desktop and Power BI Service.
• 2+ years experience in in DAX, Power Query (M), and SQL., * Knowledge of Python, Power Automate, or automation frameworks.
• Familiarity with CI/CD pipelines and Azure DevOps.
• Experience with dimensional modeling, star schemas, and semantic models.
• Strong understanding of data warehousing concepts.
• Experience working with large datasets and performance optimization techniques.
• Excellent analytical and problem-solving skills.
• Strong communication and stakeholder management abilities.
• Experience in Banking, Financial Services, Risk Analytics, or Capital Markets.
• Microsoft Certified: Power BI Data Analyst Associate certification preferred.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $116,175 - $154,900. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications.

This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.