Data Business Analyst

ANTER CONSULTING PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A data consultancy firm in Singapore is looking for a specialist to drive quality and productivity through analytics. The role involves data analysis, stakeholder engagement, and the development of data strategies. Candidates should have experience in statistical modeling and strong communication skills. Join us to leverage data insights for business improvement.

Qualifications

• Experience in data analysis and modeling techniques.
• Proficiency in statistical tools and analytical software.
• Strong communication and stakeholder engagement skills.

Responsibilities

• Conduct ad-hoc analyses to solve business challenges.
• Ensure analytics solutions meet business and governance standards.
• Stay updated on emerging analytics technologies.
• Translate findings into actionable recommendations.

Skills

Data Analysis

Statistical Modeling

Data Management

Stakeholder Engagement

Communication Skills

Job description

Purpose:

• Drive Quality and Productivity: Utilize analytical tools to collect, correlate, and analyze data to enhance operational performance.
• Optimize Business Practices: Leverage data insights to identify improvement areas and implement effective strategies.
• Support Decision-Making: Assess the impact of changes or projects on performance and help stakeholders make informed business decisions through data interpretation.

Key Responsibilities

1. Data Analysis & Modeling

• Conduct ad-hoc and exploratory analyses to address business challenges and support strategic initiatives.
• Develop and apply statistical models to identify patterns, validate hypotheses, and derive actionable insights.
• Detect trends, diagnose anomalies, and provide data-driven recommendations.

2. Data Management & Governance

• Collaborate with cross-functional teams to ensure analytics solutions align with business requirements and data governance standards.
• Develop standardized processes for data definition, source management, and quality assurance.
• Design and implement efficient data extraction and consolidation processes across multiple systems.

3. Data Strategy & Innovation

• Stay abreast of emerging analytics technologies and explore innovative applications to drive business value.
• Use data-driven approaches to identify inefficiencies and proactively improve business workflows.

4. Communication & Stakeholder Engagement

• Translate analytical findings into clear insights and actionable recommendations for stakeholders.
• Regularly engage stakeholders to align expectations, exchange feedback, and ensure clarity of objectives.
• Conduct stakeholder mapping to understand relationships, drivers, and influence levels.
• Present solution options and explain their potential business impact.

5. Business Requirements & Solutions Development

• Elicit and document business requirements through effective engagement with operational and management stakeholders.
• Analyze data to define business problems, identify opportunities, and recommend optimal solutions.

6. Software & Systems Development

• Develop and configure analytical models, software agents, or programs aligned with business needs.
• Test and validate models to ensure performance accuracy and reliability.
• Collaborate with BTS to design scalable data collection, storage, and analysis systems.