Senior Data Analyst, Business Intelligence, APAC

Benefits

Parental leave

8 weeks Source: https://www.bostonscientific.com/content/dam/bostonscientific/corporate/citizenship/sustainability/2019_Boston_Scientific_Performance_Report.pdf. source Last checked May 7, 2026.

Non-birth-parent leave

8 weeks Source: https://www.bostonscientific.com/content/dam/bostonscientific/corporate/citizenship/sustainability/2019_Boston_Scientific_Performance_Report.pdf. source Last checked May 7, 2026.

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Analyst, Business Intelligence, APAC Additional Posting Location(s) Malaysia-Penang Purpose Statement: The Senior Data Analyst, Business Intelligence sits at the intersection of FP&A Hub APAC, driving how Finance leverages data to create business value. This role offers an opportunity for a data-driven professional to transform how insights are delivered, decisions are made, and performance is managed across the organization. Partnering across Finance, IT, and the wider business, the role leads digital transformation initiatives within Finance by leveraging industry-leading tools such as Power BI, Snowflake, and advanced analytics to build scalable reporting solutions, generate meaningful business insights, and strengthen planning and performance management. Responsibilities: Reporting: Design, build, and optimize Power BI dashboards, scorecards, and self-service reporting solutions that bring financial and operational performance to life for business leaders. Write and manage robust SQL queries, data models, and data transformations leveraging Enterprise Data Warehouse (Snowflake) to ensure reliable, scalable, and high-performing analytics solutions. Partner with Finance stakeholders to translate business questions into insightful, intuitive, and visually compelling reporting that drives action. Develop and enhance financial and operational data models that support planning, forecasting, performance analysis, and decision support. Data & Automation: Collaborate with Finance, IT, and cross-functional partners to strengthen and expand the APAC Finance Data Do

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