Data Analytic/BI Lead
In-Office, Singapore, Singapore
- 求人ID
- R-545641
- Category
- Sales Support
- Location
- シンガポール, シンガポール
- Region
- APAC
We are the people who give possibilities purpose
BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.
Job Description
Position Summary (Purpose and Fundamental Goals of the Position):
We are seeking a highly skilled and experienced Data Analytics & Business Intelligence Leader to drive data-driven decision-making and enhance BI capabilities at APAC ADx.
This senior individual contributor role is responsible for leading the design, development, and deployment of scalable analytics and reporting solutions, while acting as a trusted advisor to business leaders. The role will bridge business needs with data strategy, enabling actionable insights to support scientific, commercial, and operational objectives.
Key Responsibilities
BI Strategy & Solution Development
Lead the design, development, and implementation of robust BI solutions, including dashboards, reports, and data visualizations (e.g., Power BI, Excel).Establish scalable and standardized reporting frameworks, including KPI definitions and performance tracking.Drive automation of reporting processes to improve efficiency, accuracy, and timeliness.
Advanced Analytics & Insights
Conduct in-depth data analysis to identify trends, patterns, and actionable insights to drive strategic decision-making.Translate complex business questions into analytical approaches and data models. Support performance analysis across functions (e.g., sales operations, funnel management, end customer insights, finance, SCM).
Business Partnering & Stakeholder Engagement
Partner with cross-functional teams (ComEx, Sales, Marketing, Finance) to understand data needs and translate business requirements into technical specifications. Act as a trusted advisor to leadership, providing data-driven recommendations. Present complex insights clearly to both technical and non-technical stakeholders.
Data Management, Governance & Quality
Oversee the end-to-end data lifecycle, including data ingestion, warehousing, modeling, and reporting. Establish and enforce data governance standards, ensuring data accuracy, consistency, and integrity. Drive adoption of a “single source of truth” across systems and reporting.
Data Architecture & Engineering Enablement
Develop and maintain data models, data integration processes, and data pipelines. Collaborate with IT on data infrastructure. Ensure data accessibility and scalability for analytics use cases.
Tools, Innovation & Digital Enablement
Evaluate and recommend BI tools, technologies, and methodologies to continuously enhance analytics capabilities. Promote self-service analytics across the organization. Apply advanced analytics techniques (e.g., predictive modeling, statistical analysis) where relevant.
Capability Building & Thought Leadership
Provide technical guidance and mentorship to analysts and BI developers. Build data literacy across teams through training, playbooks, and best practices. Foster a culture of data-driven decision-making and continuous improvement.
Compliance & Data Security
Ensure compliance with data privacy regulations and internal data security policies. Implement best practices in data governance and risk management.
Support data analytics integration initiatives, including system migrations, business integrations, and harmonization of data models, ensuring continuity, consistency, and minimal disruption to reporting and insights.
Qualifications, Required Knowledge & Experience
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Information Systems, or related field.
- Minimum 7–10 years of experience in data analytics or BI, with strong exposure to enterprise-level analytics environments.
- Proven expertise in end-to-end BI solution development (e.g., Power BI, Tableau, Qlik).
- Strong proficiency in SQL and data modeling.
- Experience with data warehousing technologies (e.g., Snowflake, Azure Synapse, AWS Redshift).
- Solid understanding of ETL/ELT processes and tools (e.g., SSIS, Talend, Informatica, Python).
- Experience working in cross-functional and regional environments.
- Experience in life sciences, pharmaceutical, or healthcare industry is an advantage.
- Knowledge of statistical analysis, machine learning, or predictive modeling is a plus.
Core Competencies
- Strategic Thinking – Connects analytics to business outcomes and long-term strategy
- Analytical Rigor – Strong problem-solving with attention to detail and data accuracy
- Stakeholder Influence – Influences decisions without direct authority
- Execution Excellence – Delivers high-quality outputs with speed and discipline
- Communication – Simplifies complex data into clear business insights
- Collaboration – Works effectively across functions and geographies
Why Join Us?
To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of healthcare. At BD, you’ll discover a culture in which you can learn, grow and thrive.
We believe that when people connect in person, we learn faster, collaborate more deeply, and build a stronger culture. Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress, and your success.
To learn more about BD visithttps://bd.com/careers.
Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally protected characteristics.
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