Business Analyst

Responsibilities:

Requirements Gathering: Collaborate with cross-functional teams to gather and document detailed business requirements, ensuring clarity and completeness.

Technology Integration: Assess the feasibility of integrating AI/ML solutions into our business processes, including identifying potential use cases and benefits. Agile and Scrum: Play a pivotal role in Agile and Scrum project teams, facilitating sprint planning, backlog grooming, and retrospectives to ensure efficient project execution.

JIRA and Azure DevOps: Utilize JIRA or Azure DevOps for task tracking, issue management, and project reporting, ensuring projects stay on track and within scope.

Technical Liaison: Act as a bridge between non-technical stakeholders and technical engineering teams, translating business requirements into technical specifications.

Data Analysis: Analyze and interpret data to identify trends, patterns, and insights, helping the company make data-driven decisions Continuous Improvement: Collaborate with internal and external customers to identify areas for process improvement and make recommendations to enhance system functionality and overall efficiency.

Documentation: Create and maintain comprehensive documentation, including user stories, system diagrams, and technical specifications.

Testing and Quality Assurance: Collaborate with QA teams to define test cases and ensure the quality of deliverables.

Skills and Qualifications:

7-10 years of BA experience

Bachelor's degree in Computer Science, Information Technology, or a related field.

Proven experience 10+ years as a Business Systems Analyst in a technical environment.

Knowledge of AI/ML technologies and their practical applications.

Proficiency in Agile and Scrum methodologies, with experience in leading Agile teams.

Familiarity with project management tools such as JIRA and Azure DevOps.

Strong analytical and problem-solving skills with the ability to translate business needs into technical solutions.

Excellent communication skills, with the ability to convey technical information to non-technical stakeholders.

Experience working closely with technical engineering teams, understanding software development lifecycles.

Data-driven mindset and the ability to perform data analysis using tools like Excel, SQL, or BI tools.

Strong attention to detail and a commitment to delivering high-quality results.

Ability to adapt to a fast-paced and evolving technology environment.