Join our dynamic AI & Data practice as a Senior Consultant, specializing in Business Analysis. This role offers the opportunity to leverage your expertise in data transformation and business intelligence within a leading consulting environment. You will be instrumental in helping clients unlock the full potential of their data, driving informed decision-making and generating significant business advantages.

Our team focuses on a comprehensive range of services, including business intelligence, data management, performance optimization, and cutting-edge analytics such as big data, cloud computing, and machine learning. Contribute to shaping the future of data-driven strategies.

As a Senior Business Analyst, you will collaborate closely with Product Owners, Scrum Masters, development teams, and business stakeholders. Your primary focus will be on gathering, analyzing, and meticulously translating business requirements into clear functional specifications. You will be a vital contributor to Agile delivery, ensuring seamless alignment between business objectives and technical solutions. This role demands a proactive approach to requirement clarity and effective communication.

We are seeking experienced professionals with 4-10 years of dedicated experience as a Business Analyst within Agile frameworks. Proven ability in requirement elicitation, crafting user stories, and managing product backlogs is essential. Experience in engaging with stakeholders to define both business and functional requirements is critical. A strong background in Agile/Scrum environments is required. Prior experience delivering Data Analytics projects is a significant advantage. Proficiency in SQL for data analysis is necessary, with a basic understanding of scripting languages like Python or Shell being beneficial. Familiarity with SDLC and requirement lifecycle management tools is expected. The ability to conceptualize and contribute to dashboard and report creation using tools like Power BI or Tableau is preferred. A solid grasp of data concepts including ETL, data modeling, and data pipelines, coupled with strong analytical and problem-solving capabilities, will be key to success.