Business Data Analyst with IDQ

Position Overview

Key Responsibilities

• Engage with U.S. stakeholders onsite to gather, analyze, and document requirements for data, analytics, and reporting initiatives.
• Translate business needs into functional specifications, user stories, and acceptance criteria.
• Conduct impact assessments and identify process gaps, dependencies, and risks.

• Define and maintain data quality rules, profiling checks, validation logic, and exception processes.
• Analyze data quality issues, monitor DQ scorecards, and support remediation efforts.
• Perform data profiling to discover anomalies, patterns, and improvement opportunities.

• Maintain and organize metadata, business glossary terms, lineage, and dataset documentation.
• Enable findability, traceability, and trust by ensuring datasets are well-cataloged and governed.
• Partner with data owners and stewards to maintain catalog accuracy and consistency.

• Write and optimize SQL queries for data exploration, validation, reconciliation, and issue analysis.
• Validate transformations, metrics, and ETL outputs against business rules.
• Support user acceptance testing by defining data validation scenarios.

• Build high-quality Power BI dashboards that reflect business KPIs, are visually intuitive, and performance optimized.
• Collaborate with engineers on semantic models, DAX calculations, and dataset design.
• Ensure security, data refresh reliability, and dashboard usability.

• Act as an onsite liaison between business groups, IT, data engineering, governance, and QA.
• Facilitate workshops, requirements walkthroughs, and data reviews.
• Present insights, findings, and recommendations to leadership.

Required Skills & Experience

• 3–6+ years as a Business Analyst in data/analytics roles.
• Hands-on experience with:

o            Informatica IDQ (rules, profiling, scorecards)

o            Informatica EDC (cataloging, lineage, metadata)

o            SQL (medium to advanced proficiency)

o            Power BI (visuals, DAX, modeling)

• Strong understanding of data governance, data quality frameworks, lineage, and metadata management.
• Experience creating BRDs, FRDs, process flows, data mapping documents, and UAT plans.
• Excellent verbal, written, and presentation skills, especially with U.S.-based stakeholders.

Preferred Qualifications

• Exposure to Azure Data Services, Purview, Fabric, Databricks, ADF.
• Knowledge of Agile/Scrum methodologies.
• Experience in enterprise metadata/governance frameworks.

Education

• Bachelor’s degree in Business, Analytics, Information Systems, Computer Science, or related field.

Candidate Attributes

• Strong analytical thinker with attention to detail.
• Confident communicator who can translate data concepts for business users.
• Proactive, organized, and capable of managing work independently onsite.
• Passion for data quality, governance, and enabling strong business decisions