Business Analyst - Corporate Finance

Company Description

Acronotics Limited is a specialist consulting and services firm focused on modern-age automation technologies such as Robotic Process Automation (RPA) and Artificial Intelligence (AI). We apply human intelligence to build cutting-edge robotic automation & AI solutions for our clients. Our team consists of world-class automation & AI engineers, designers, consultants, and thought leaders. Our mission is to help clients design, develop, implement, and run game-changing, transformative robotic automation and AI solutions.

Role Description

We are looking for a detail-oriented and strategic Business Analyst with experience of working on IT projects dealing with corporate finance data. The ideal candidate will work at the intersection of business, data, and technology, acting as a bridge between the Finance team and the technical team. They will be instrumental in gathering requirements, validating outputs, ensuring alignment with business objectives, and supporting iterative delivery across phases.

Key Responsibilities:

• Collaborate with stakeholders from Finance team to capture business requirements and translate them into actionable technical inputs.
• Analyze financial reports (e.g., Key Figures, Financial Statements, Capex Reports) and map them to underlying data structures (Power BI, OLAP Cubes).
• Facilitate UAT (User Acceptance Testing) and maintain traceability between requirements, test cases, and outcomes.
• Participate in Agile ceremonies and sprint reviews, ensuring business alignment and timely sign-offs.
• Work with data owners to document dataset definitions, KPIs, cube hierarchies, and metadata needed for model context.

Requirements:

• 5+ years of experience as a Business Analyst in an IT services company working on corporate finance projects.
• Proficient in creating BRDs, user stories, workflows, and test cases.
• Strong understanding of financial reports, financial KPIs, variance analysis, forecasting, and budgeting processes.
• Experience working with BI tools such as Power BI and OLAP cubes (SSAS).
• Familiarity with Excel and PowerPoint-based financial commentaries and how they are used in decision-making.
• Exposure to AI, ML, or LLM-based platforms (e.g., Azure OpenAI, Copilot interfaces) is a plus.
• Comfortable working with semi-structured and structured data sources.
• Excellent communication skills – able to distill complex technical outputs into business-friendly narratives.

Good to have:

• Experience of working on AI implementation projects.
• Experience with tools like JIRA, Confluence, or Azure DevOps.
• Certification in Business Analysis (CBAP/CCBA) or Agile (Scrum Product Owner/BA).
• Contribute to prompt engineering and RAG (Retrieval-Augmented Generation) context definition to improve AI performance.

Location: