Functional Data Analyst

Functional Data Analyst

Location: Bangalore / Coimbatore

Work Mode: On-site

Experience: 8+ Years

Employment Type: Full-time

About the Role

We are seeking an experienced, client-facing Functional Data Analyst to bridge business requirements, data products, analytics, and technical solutions. The role involves working closely with customers, business stakeholders, product owners, enterprise architects, data engineers, and AI teams to deliver data modernization, integration, migration, reporting, analytics, and AI-enabled solutions.

The ideal candidate combines strong functional and business analysis skills with hands-on SQL, data profiling, source-to-target mapping, data validation, functional data modeling, and data governance experience.

Key Responsibilities

• Lead stakeholder discussions and translate business needs into functional requirements, user stories, process flows, and acceptance criteria.
• Perform SQL-based data profiling, validation, reconciliation, and root-cause analysis.
• Develop source-to-target mappings, data dictionaries, business glossaries, business rules, and functional data models.
• Define requirements for data integration, migration, ETL/ELT, reporting, dashboards, and analytics.
• Support data governance initiatives covering data quality, lineage, metadata, master data, and reference data.
• Collaborate with product, architecture, engineering, BI, and AI/ML teams to identify and define data-driven use cases.
• Validate reports, data pipelines, integrations, migration outputs, and AI-generated insights.
• Coordinate functional testing, user acceptance testing (UAT), defect resolution, and customer acceptance.
• Facilitate requirements workshops and ensure alignment between business stakeholders and technical delivery teams.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Business Analytics, or a related field.
• 8+ years of experience in Data Analysis, Business Analysis, Functional Analysis, or a related role.
• Strong SQL skills and experience with relational databases.
• Hands-on experience in data profiling, data quality, validation, reconciliation, and root-cause analysis.
• Experience with source-to-target mapping, data migration, system integration, and ETL/ELT processes.
• Knowledge of functional/conceptual data modeling, entity relationships, data dictionaries, and business glossaries.
• Understanding of data governance, metadata, lineage, master data, and reference data.
• Experience with Power BI, Tableau, Looker, or similar reporting and visualization platforms.
• Familiarity with Agile methodologies and tools such as Jira, Confluence, or Azure DevOps.
• Strong communication, documentation, analytical, and stakeholder management skills.

Preferred Qualifications

• Exposure to Azure, AWS, Snowflake, Databricks, or Microsoft Fabric.
• Experience defining data-product requirements and analytics or AI/ML use cases.
• Familiarity with Python or other data-analysis tools.
• Experience in consulting, professional services, enterprise data modernization, or custom software delivery.

Ideal Candidate

A business-focused and analytical professional who can investigate complex data challenges, translate business problems into actionable requirements, and collaborate effectively with customers and cross-functional technical teams to deliver measurable business outcomes.