Manager, Data Business Analyst

The Kallang Group; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A dynamic organization in Singapore is seeking a highly skilled Data Business Analyst to provide data-driven insights and support strategic decision-making. The ideal candidate should have 5-7 years of experience in data analytics, a Bachelor’s or Master’s degree in a relevant field, and proficiency in tools like SQL and Python. You will leverage AI technologies for innovation and improve customer experience. Join us to drive impactful change using data and analytics!

Qualifications

• Minimum of 5‑7 years of experience in data analytics or related role.
• Proficient in data analysis tools like SQL, Python, Power BI, or Tableau.
• Excellent communication skills for non-technical audiences.

Responsibilities

• Provide analytical support for strategic planning processes.
• Work with business stakeholders to improve data quality and governance.
• Identify AI opportunities to improve services.

Skills

Data analysis

SQL

Python

Power BI

Tableau

AI/ML understanding

Strong communication

Education

Bachelor's or Master’s degree in Business Analytics or related field

Job description

We are seeking a highly skilled and motivated Data Business Analyst to join our team. You will be responsible for providing data-driven insights and recommendations to drive strategic decision-making across various departments within the organization. You will also leverage on latest AI technologies to drive innovation and workplace productivity improvement. You will play a crucial role in utilizing data to optimize revenue generation, enhance operational efficiency, and improve the overall customer experience at The Kallang. The ideal candidate will have a strong background in analytics, AI, excellent leadership skills, and a passion for sports and entertainment.

Key responsibilities will include:

Strategic Planning and Prioritize Analytics Use Cases:

• Provide analytical support for strategic planning processes, including budgeting, forecasting, and performance monitoring.
• Collaborate with cross-functional teams to define analytics use cases and prioritize based on business impact.
• Lead end-to-end development of prioritized use cases, including project initialization, planning, implementation, monitoring and evaluation.
• Evaluate the impact of strategic decisions and initiatives through rigorous analysis and measurement of key performance indicators.

Business Analytics, Report and Visualization:

• Work with business stakeholders to standardize data definitions, business performance tracking mechanisms, improve data quality and implement data governance framework.
• Work with data engineering team to identify the data source and design the optimal data structure for analytics use cases.
• Generate insights from large datasets to inform optimal decision making
• Design, develop, maintain, and enhance monitoring dashboards and reports with key performance indicators for early warning and decision making
• Transform complex data into easy-to-understand visualizations and storytelling
• Implement functional capabilities to enable business users’ access and utilization of information and insights in the form of self‑serve dashboards and reports within overall data governance framework.

Artificial Intelligence (AI) and Innovation:

• Identify opportunities where AI, machine learning, and automation can improve services or internal business processes.
• Monitor emerging AI trends, tools, and best practices to inform innovation initiatives.
• Lead Proof‑of‑Concept (PoC) and pilot projects, from ideation to deployment.
• Support change management, training, and adoption of AI solutions across business units.

Stakeholder Engagement and Communication:

• Build strong relationships with internal stakeholders to understand their business requirements and priorities.
• Communicate complex analytical findings and recommendations in a clear and compelling manner to non‑technical audiences.
• Act as a trusted advisor to senior management and department heads, providing insights and guidance to support strategic decision‑making.

Continuous Learning and Mentoring:

• Stay up‑to‑date with industry trends, best practices, and emerging tools in data analysis, visualization and AI.
• Provide guidance and support to junior team members in data analysis, interpretation, and presentation.

Requirements:

• Bachelor's or Master’s degree in Business Analytics, Computer Science, Data Science, Statistics, Engineering, Economics or a related field.
• Minimum of 5‑7 years of experience in data analytics, business intelligence, digital application solution design and testing or a related role.
• Proficiency in data analysis tools and technologies such as SQL, Python, Power BI or Tableau.
• Strong analytical and problem‑solving skills, with the ability to extract insights from complex datasets.
• Understanding of AI/ML concepts, tools and applications with experience deploying AI solutions in real‑world business environments will have added advantage.
• Excellent communication and presentation skills, with the ability to effectively convey technical information to non‑technical stakeholders.
• Ability to thrive in a fast‑paced environment, with a strong sense of accountability and attention to detail.
• Prior experience in sports/events/customer experience analytics is a plus.

If you are facing issues submitting your application through Linkedln, please email us your resume at [e-mail] with the job title.

Only shortlisted candidates will be notified.

The level of appointment will depend on the qualifications and experience of the candidate.

For more information on The Kallang Group, refer to www.thekallanggroup.com.sg