- Company Name
- Digital Service Group
- Job Title
- Business Analyst (AI tools)
- Job Description
-
**Job Title:** Business Analyst (AI Tools)
**Role Summary:**
Act as a bridge between business stakeholders, data scientists, and IT teams to translate strategic objectives into AI-driven analytics solutions. Lead requirement capture, data architecture design, and user acceptance testing for large-scale data platforms, ensuring compliance with GDPR and emerging AI regulations. Deliver high‑usability interfaces, data models, and automated anomaly detection systems that empower data‑driven decision making across diverse sectors.
**Expectations:**
- Deliver end‑to‑end AI solution lifecycle from requirement gathering to production deployment.
- Ensure strict adherence to data governance, security, and regulatory standards.
- Communicate complex technical concepts to non‑technical stakeholders and drive consensus.
**Key Responsibilities:**
- Gather, analyze, and formalize business requirements for AI, ML, data mining, or business intelligence initiatives.
- Evaluate existing advanced analytics tools and recommend optimal AI approaches aligned with organizational goals.
- Design detailed mock‑ups, presentation interfaces, and user experiences.
- Analyze large, complex datasets to extract actionable insights.
- Develop, validate, and document data models and analytical use cases.
- Design scalable analytics architectures, including capacity planning, performance optimization, and physical data design.
- Define and implement data governance controls to guarantee data quality, integrity, consistency, and completeness.
- Design, monitor, and refine automated anomaly detection systems.
- Conduct user acceptance testing (UAT) and ensure solution meets business expectations.
- Serve as liaison between business stakeholders, data scientists, IT teams, and data stewards.
- Contribute to enterprise data strategy, vision, and policy translation into technical requirements.
- Produce comprehensive documentation and coordinate inter‑team dependencies.
**Required Skills:**
- Strong understanding of NLP lifecycle and Agile software development methodologies.
- Experience with large‑scale datasets, unstructured data sources, and data lake environments.
- Proficiency in enterprise information systems and organizational process modeling.
- Expertise in analysis and modelling techniques (BPMN, UML, ER models, state diagrams, use‑case diagrams).
- Practical experience in Machine Learning and Natural Language Processing.
- Proficiency in Python, R, or Perl; strong SQL skills; exposure to NoSQL (MongoDB), Hadoop, or similar technologies.
- Knowledge of modern, scalable data storage architecture design.
- Excellent business analysis documentation, presentation, and stakeholder engagement skills.
- Strong communication, critical thinking, and problem‑solving abilities.
**Required Education & Certifications:**
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field (or equivalent experience).
- Certifications in Agile, Data Analytics, or relevant professional credentials are a plus.