Systems Integration Senior Analyst
NTT DATA
NTT DATA
Seeking a seasoned Systems Integration Senior Analyst to drive innovation in AI business analysis. This role requires a deep understanding of AI/ML, data analytics, and the full product development lifecycle. You'll translate complex business needs into actionable technical requirements, leveraging your analytical prowess to uncover insights and propose data-driven solutions. Strong communication and collaboration skills are essential for working with diverse stakeholders across all organizational levels.
Your expertise will be crucial in defining key performance indicators, building dashboards, and converting analytical findings into tangible business value. Familiarity with predictive modeling, AI use cases, and workflow optimization will enable you to identify automation opportunities and enhance operational efficiency.
This position offers an exciting opportunity to collaborate closely with engineering, QA, data science, and product teams in a dynamic, fast-paced environment. If you are a results-oriented professional with a passion for leveraging technology to solve business challenges, we encourage you to apply.
Key responsibilities include eliciting and documenting business requirements for AI, analytics, and automation initiatives, translating them into functional specifications and user stories. You will serve as a vital liaison between business teams, AI/ML specialists, product owners, and engineering.
Engage in solutioning workshops to align business objectives with technical capabilities. Support AI/ML initiatives by translating business challenges into use cases, assisting with model validation, data quality checks, and interpreting model results. Define success metrics and KPIs for AI-driven processes and aid in developing analytics dashboards and reporting frameworks.
Contribute to solution design, process optimization, and automation efforts. Perform comprehensive data analysis, validation, and transformation. Actively participate in all testing phases, including UAT and regression testing. Develop user guides and training materials for stakeholders.
Assist with project planning, tracking, documentation, and communication. Support the integration of AI systems with enterprise platforms and third-party applications, monitor system performance, troubleshoot issues, and recommend continuous improvements. Collaborate with cross-functional teams to ensure successful product rollouts and enhancements.
A minimum of 5 years of experience as a Business Analyst or Systems Analyst in technology-centric environments is mandatory.
Possess a robust understanding of AI/ML concepts, data-driven decision-making, analytics workflows, and modern digital platforms. Proven experience navigating the entire product development lifecycle, from requirements and design through UAT, go-live, and post-implementation support.
Demonstrated ability to analyze and translate intricate business processes into clear functional and technical requirements. A strong analytical mindset is crucial for researching, interpreting, and presenting insights that drive effective business solutions.
Exceptional communication and interpersonal skills are required to effectively engage with stakeholders at all levels of the organization. Experience with data analysis, defining KPIs, dashboard creation, and transforming analytical findings into business value is essential.
Familiarity with predictive modeling, AI solution use cases, automation opportunities, and workflow optimization is expected. Collaboration experience with engineering, QA, data science, and product teams in fast-paced settings is a key requirement.
Proficiency in requirements analysis and documentation, process modeling (BPMN, flowcharts, user journeys), AI/ML concepts, and data analysis/visualization using tools like Excel, SQL, Power BI, or Tableau is necessary. Experience with Agile methodologies, JIRA, and Confluence, along with strong problem-solving and stakeholder management skills, is vital. The ability to work independently and lead cross-functional discussions is also important.
NTT DATA
IT Consulting