Job Description

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 rolerequirement‑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.

Qualifications

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