This role focuses on building and supporting enterprise-level analytics solutions using Power BI and semantic data modeling . You will work with curated datasets to create standardized, high-performance dashboards aligned with DCAM and FIRM reporting frameworks.

You’ll collaborate with business stakeholders to gather requirements, design data models, define metrics, and deliver end-to-end reporting solutions . A strong understanding of maintenance and work order systems (like SAP S/4HANA, JDE, or InforEAM) is key to translate operational needs into actionable insights.

The role also involves owning ongoing reporting operations , including data validation, troubleshooting issues, and enhancing dashboards based on evolving business needs.

Roles & Responsibilities

Key Responsibilities

· Work closely with business stakeholders to gather, analyze, and document functional and data requirements for AI solutions.

· Create clear and structured Business Requirement Documents (BRDs), Functional Specifications, and user stories.

· Define detailed acceptance criteria to ensure alignment between business expectations and delivered AI capabilities.

· Partner with Data Science, Engineering, and Product teams to clarify requirements and manage scope changes.

· Perform functional validation, QA testing, and output verification for AI/ML models and data-driven applications.

· Identify gaps, inconsistencies, and risks in AI solution design and recommend improvements.





· Support UAT planning and execution, ensuring smooth stakeholder sign-off.

· Track defects, monitor resolution progress, and ensure delivery quality standards are met.

· Prepare dashboards, reports, and insights to measure solution performance and adoption.

Required Skills & Qualifications

· 4–6 years of experience as a Data Analyst, preferably in analytics or AI-driven environments.

· Strong experience in requirement gathering, documentation, and acceptance criteria definition.

· Hands-on experience in QA validation and UAT coordination.

· Good understanding of AI / Machine Learning lifecycle and data workflows.

· Strong analytical thinking and problem-solving skills.

· Excellent stakeholder communication and coordination abilities.

· Experience with tools such as SQL, Excel, Jira, Confluence, or similar tracking platforms.

Preferred Skills

· Exposure to Python, data visualization tools (Tableau / Power BI), or model performance metrics.

· Understanding of data quality frameworks and validation techniques.

· Experience working in Agile / Scrum delivery environments.

Success Metrics

· Quality and clarity of documented requirements and acceptance criteria.

· Accuracy and reliability of AI solution validation.

· Timely UAT completion and stakeholder satisfaction.

· Reduction in post-release defects and improved solution adoption.

📌 Data Analyst (Bengaluru)
🏢 MathCo
📍 Bengaluru