Position Title: Data Analytics Business Partner - Commercial
Kuala Lumpur, 10, MY, 47800
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The role
The Business Partner (Analytics Translator) plays a crucial role in bridging the gap between IT and business using data analytics to assess processes, determine requirements, and deliver data-driven recommendations and reports to executives and stakeholders. This role involves building strong partnerships with senior stakeholders, translating business questions into actionable analytics solutions, and driving the adoption of these solutions to deliver measurable business value. The Business Partner will work closely with various departments to help them understand their data, make informed business decisions, and tell compelling data stories.
The Business Partner is also responsible for deploying and maintaining a robust data governance processes. This role ensures data integrity, quality, and accessibility across the organization, while implementing global standards and managing data confidentiality and access controls.
Key responsibilities
- Lead analytics initiatives for business questions/needs within a specific functional domain.
- Manage data-related projects, ensuring timely delivery and alignment with business goals.
- Build partnerships with senior stakeholders, including heads of business processes in areas such as Brand, Commercial, Consumer, and Programs.
- Identify and size business opportunities, providing data-driven consulting to market leaders.
- Collaborate with BI Developer and Data Scientists to ensure data-driven recommendations are based on robust analysis.
- Translate business questions into tangible analytics solutions and influence business leaders with data-backed insights.
- Implement data governance policies, processes and standards.
- Collaborate with data owners and stakeholders to ensure data quality and compliance, and confidentiality.
- Lead local data governance initiatives and projects, ensuring alignment with business objectives and company policies.
- Monitor and enforce data governance policies and procedures. Conduct data quality assessments and audits to ensure reliable and high-quality data in the market.
- Identify, solve, and execute solutions to improve data reliability and quality. Utilize technologies such as Snowflake, Atlan, LeanIX, to manage and govern data.
- Manage analytics products within a specific functional area for the market.
- Lead cross-functional teams to deliver agreed outcomes, including individuals with various analytics capabilities.
- Provide problem-solving support to the product team during analytics solution conceptualization and delivery.
- Drive the adoption and value proposition of analytics solutions in the market.
- Utilize agile methodology to deliver value in an iterative, incremental manner.
- Collect, analyze, and interpret large datasets to provide actionable insights.
- Develop data models to support business processes and decision-making.
- Create detailed reports and interactive dashboards using BI tools.
- Present findings and recommendations to stakeholders in a clear and concise manner.
- Maintain comprehensive documentation of methodologies and processes.
- Identify opportunities for process improvements based on data analysis.
Who we’re looking for
- B.Sc. in Business, Economics, Computer Science, Information Management or a related field.
- 3-5 years of experience in data analysis or business analysis roles.
- Strong skills in value realization, collaboration, negotiation, influence, and strategic vision.
- Experience with data governance principles to ensure data integrity and compliance.
- Proven ability to work collaboratively with business, analytics, and IT stakeholders to solve problems and orchestrate data governance efforts.
- Proficiency in BI tools such as Power BI, and familiarity with machine learning and AI applications in data governance.
- Relevant certifications like CBAP (Certified Business Analysis Professional), data governance or data management (e.g. DAMA, CDMP) and/or data analytics certifications.
- Strong project management skills.
- Ability to perform ad hoc analysis and share results effectively.
- Experience with data quality management and data auditing.
- Ability to lead and manage data governance projects.
- Knowledge of data privacy regulations and compliance requirements.