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Senior Business Analyst Full-time

at CBC Tech Solutions Limited External link icon in Colombo, published on 25 Oct. 2024

Job Profile

The selected candidate will be responsible for,

  • Collaborate with stakeholders to gather, document, and analyze business requirements, ensuring alignment with project objectives and goals.
  • Design and develop impactful data visualizations using tools such as Tableau, Looker, or similar platfonns to convey complex data insights clearly.
  • Lead the requirement documentation process, including user stories, acceptance criteria, and process flows, ensuring they are comprehensive and actionable.
  • Work closely with data engineering teams to define data requirements for Al model development and implementation. ensuring data quality and accessibility.
  • Facilitate Agile ceremonies such as sprint planning, backlog grooming, and retrospectives to foster collaboration and ensure project transparency.
  • Engaging the design and evaluation of Al models, providing insights on business needs and translating technical specifications into business language.
  • Conduct user acceptance testing (UAT) to ensure that data visualization solutions and Al models meet business requirements and user expectations.
  • Mentor and guide junior analysts in best practices related to requirement documentation, data visualization, and Agile methodologies.
  • Stay informed about industry trends in data analysis, Al, and data engineering, recommending process improvements and new tools as necessary.

Applicant's Profile

  • Bachelor's degree in Business Administration, Information Technology, Data Science, or a related field. A master's degree is preferred.
  • Minimum of 4years of experience as a Business Analyst, with a strong focus on data visualization, Agile methodologies, and Al projects.
  • Proficiency in data visualization tools (c.g., Tableau, Looker) with a proven ability to create interactive dashboards and reports.
  • Experience working with Al models, including understanding machine leaming concepts and data requirements for model training and evaluation.
  • Familiarity with data engincering principles and practices, including data pipelines, ETL processes, and data quality assurance.
  • Strong understanding of Agile principles and hands-on experience in Agile/Scrum environments.
  • Excellent analytical and problem-solving skills, with the ability to interpret complex data and present findings effectively.
  • Exceptional communication skills, both written and verbal, with the ability to engage stakeholders at all levels.
  • Experience with SQL and data querying is a plus.
  • Agile certifications (e.g., Certified Scrum Master, PM-ACP) are desirable



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