ICT Data & AI Business Analyst

Role Summary

The Data & AI Business Analyst drives the discovery, analysis, and translation of business needs into actionable requirements, with a strong emphasis on data analytics, process optimization, and cross functional collaboration. This role requirement gathering efforts, shapes analytical solutions, and ensures that data driven insights inform strategic and operational decisions. The position serves as a bridge between business stakeholders, data teams, and technology partners to deliver high quality, scalable solutions.

Key Responsibilities

Requirements Gathering & Solution Definition

• Lead end to end requirements elicitation through workshops, interviews, process mapping, and data exploration.

• Translate business needs into clear, concise functional and non functional requirements, user stories, acceptance criteria, and process flows.

• Facilitate alignment sessions with stakeholders to validate requirements and ensure shared understanding.

• Evaluate business processes and identify opportunities for automation, optimization, and improved data utilization.

Data Analytics & Insights

• Partner with data engineering, BI, and analytics teams to define data requirements, metrics, KPIs, and reporting structures.

• Analyze complex datasets to identify trends, gaps, and opportunities that inform business strategy.

• Support the design and validation of dashboards, analytical models, and data pipelines.

• Ensure data quality, governance, and consistency across analytical solutions.

Stakeholder Communication

• Liaison between business units, technical teams, and leadership.

• Present findings, recommendations, and solution options to stakeholders in a clear, data driven manner.

• Manage stakeholder expectations, dependencies, and priorities across multiple initiatives.

• Mentor junior analysts and contribute to BA practice development.

Project & Delivery Support

• Collaborate with project managers, product owners, and technical leads to define scope, timelines, and delivery plans.

• Support backlog refinement, sprint planning, and release readiness activities.

• Conduct impact assessments, risk analysis, and change readiness evaluations.

• Validate solutions through testing support, UAT coordination, and post implementation reviews.

Required Qualifications

• 
  
  Bachelor's degree in Business, Computer Science, Information Systems, Data Analytics, Statistics, or a related field
  
  
• Minimum 4 years of experience as a Business Analyst, Data Analyst, or similar role

• Strong proficiency in data analysis tools (e.g., SQL, Excel, Power BI, Tableau).

• Strong understanding of SAP configuration, master data, and business process flow.

• SAP Analytics, SAP HANA, SAP AI/Joule experience

• Demonstrated experience gathering and documenting complex requirements for data driven solutions.

• Solid understanding of data modeling, data governance, and analytics workflows.

• Experience working in Agile environments and writing user stories.

• Excellent communication, facilitation, and stakeholder management skills.

Preferred Qualifications

• Experience with cloud data platforms (e.g., Azure, AWS, SQL).

• Background in process improvement methodologies (Agile, Lean, Six Sigma).

• Familiarity with API integrations, data engineering, data visualization, data pipelines, and enterprise data architecture.

• Industry experience in finance, healthcare, retail, or technology.

• SAP Analytics, SAP HANA, SAP AI/Joule experience

Role Summary

The Data & AI Business Analyst drives the discovery, analysis, and translation of business needs into actionable requirements, with a strong emphasis on data analytics, process optimization, and cross functional collaboration. This role requirement gathering efforts, shapes analytical solutions, and ensures that data driven insights inform strategic and operational decisions. The position serves as a bridge between business stakeholders, data teams, and technology partners to deliver high quality, scalable solutions.

Key Responsibilities

Requirements Gathering & Solution Definition

• Lead end to end requirements elicitation through workshops, interviews, process mapping, and data exploration.

• Translate business needs into clear, concise functional and non functional requirements, user stories, acceptance criteria, and process flows.

• Facilitate alignment sessions with stakeholders to validate requirements and ensure shared understanding.

• Evaluate business processes and identify opportunities for automation, optimization, and improved data utilization.

Data Analytics & Insights

• Partner with data engineering, BI, and analytics teams to define data requirements, metrics, KPIs, and reporting structures.

• Analyze complex datasets to identify trends, gaps, and opportunities that inform business strategy.

• Support the design and validation of dashboards, analytical models, and data pipelines.

• Ensure data quality, governance, and consistency across analytical solutions.

Stakeholder Communication

• Liaison between business units, technical teams, and leadership.

• Present findings, recommendations, and solution options to stakeholders in a clear, data driven manner.

• Manage stakeholder expectations, dependencies, and priorities across multiple initiatives.

• Mentor junior analysts and contribute to BA practice development.

Project & Delivery Support

• Collaborate with project managers, product owners, and technical leads to define scope, timelines, and delivery plans.

• Support backlog refinement, sprint planning, and release readiness activities.

• Conduct impact assessments, risk analysis, and change readiness evaluations.

• Validate solutions through testing support, UAT coordination, and post implementation reviews.