1.Requirement Gathering & Analysis

• Collaborate with users to gather and document detailed business and functional requirements.
• Analyze existing business processes, procedures, and work practices to identify inefficiencies and areas for improvement.
• Investigate and evaluate current systems to recommend optimal business practices and system functionality.

2.Data Governance & Quality

• Establish and enforce data governance frameworks to maintain high standards of data accuracy, consistency, and security.
• Conduct regular audits and implement strategies to proactively resolve data quality issues.

3.Stakeholder Engagement

• Identify and communicate with users to produce requirements specifications and align expectations.
• Act as a central reference and information source, providing guidance and support during decision-making processes.
• Conduct training sessions and create user documentation to facilitate system adoption.

4.Testing & Validation

• Develop and implement test plans, including system and user acceptance tests, to ensure the quality and integrity of solutions.
• Address any gaps or defects identified during testing phases.

5.Reporting & Documentation

• Develop comprehensive user guides, training materials, and system documentation.
• Create and present detailed project reports, highlighting progress, challenges, and key insights.

6. Project Management

• Apply project management methodologies to develop project plans, estimate resources, and manage timelines and costs.
• Take responsibility for deploying functional solutions, ensuring successful project delivery.

7.Continuous Improvement & Change Management

• Identify and implement process improvements to optimize workflows and systems.
• Support organizational change management by ensuring smooth transitions and effective user training.

8.Performance Monitoring

• Define and track key performance metrics for master data processes and systems.
• Use insights to refine processes and ensure alignment with organizational goals.

• Experienced Required
• Proficient in using Agile methodologies for project management to ensure timely delivery of data analysis projects.
• Strong understanding of business operations and economic principles to align data analysis with strategic business objectives.
• Capable of performing root cause analysis to solve business problems through data-driven insights.
• Excellent communication skills required for articulating data insights to stakeholders at all levels across the organization.
• Experienced in collaborating with cross-functional teams to gather business requirements and drive the decision-making process.
• Proven track record in documenting business processes, data analysis findings, and recommendations for business strategy adjustments.

Qualifications:

Education:

• Bachelor's Degree in any stream

Certifications:

• PIM / MDM focused certifications - Atacamma MDM certification preferred.
• PMI Professional in Business Analysis (PMI-PBA) or Disciplined Agile Scrum Master (DASM) - Provided by PMI, this certification offers knowledge in Agile practices and Scrum methodologies, beneficial for BAs working in teams using Agile methodologies.
• Associate Certified Analytics Professional (aCAP) preferred - This certification demonstrates the candidate’s expertise in the analytics process, from framing business and analytic problems to acquiring data, methodology, model building, deployment, and model lifecycle management.

Additional Requirements:

• Proficiency in analysing data to derive insights.
• Ability to adapt to changing business needs, technologies, and environments. The candidate should be comfortable with ambiguity and quick to adjust to new project requirements or shifts in priorities.
• Strong problem-solving skills with a keen analytical mindset. Capable of performing in-depth analysis of complex data sets to derive actionable insights and solve business problems.
• Proven track record of successfully delivering projects on time and within scope, particularly in environments where data is a critical component of the business process.
• High level of accuracy and attention to detail in handling data, preparing reports, and documenting processes. This is crucial for maintaining the integrity of data analysis and business insights.
• Demonstrates a commitment to ongoing professional development and keeping up-to-date with industry trends and new technologies. Willingness to participate in workshops, seminars, and training to enhance relevant skills.