Analyst/Associate - Data Insights and Reporting, Regional Sales Support Team

About this role

We are looking for a new team member to join the APAC Regional Sales Support (RSS) Team, based in Taiwan. Established in August 2025, the Regional Sales Support team is dedicated to enabling growth and delivering value for clients across all markets. Our mission is to provide innovative, curated, and commercially focused support that empowers our regional sales teams.

The team works closely with Client Business to support a growing regional client base and ensure smooth daily operations in partnership with functional teams across APAC. This role has a focus on providing reliable operational sales support while also leveraging technology and data to produce analytics that help sales teams engage effectively with Wealth and Institutional clients across the region.

The role holder will partner closely with sales teams and technology teams, to ingest and manage client data, maintain data quality, automate data processes and ensure that management information and analytics deliver maximum business impact.  Furthermore, collaborate with internal technology teams on infrastructure, tools, processes, standards, and development, as well as other data science and analytics teams across the organisation.

The successful candidate will be detail-oriented and client-focused, ensuring outcomes align with business objectives and client needs. The role requires a passion for technology, data, and clients; comfort working across a range of technology capabilities, including databases, software, and infrastructure; and a love of solving complex problems while maintaining highest data quality and creating high-impact insights.

Key Responsibilities:

• Play a crucial part in driving APAC sales support, making a meaningful impact on client business and contributing to the overall success of our regional operations

• Tasks will include preparing internal/client reports, factsheets, and managing essential internal sales support processes

• Ideate and support process redesign and automation, using AI and other tools within the Regional Sales Support Team to achieve streamlined processes and efficiency gains.

• Use cutting-edge tools to develop management information reporting and analytics that empower sales and service teams across APAC.

• Refine ambiguous questions, generate hypotheses, deliver analysis, and develop a data-backed viewpoint of sales and distribution performance.

• Collaborate with other data science and analytics teams across the firm on best practices, code review, internal tools, and process automation improvements.

• Consolidate data input from multiple sources to produce internal recurring and ad-hoc reports.

Skills and Experience:

• Bachelor’s or Master’s degree in data science, Statistics, Computer Science, or a related field.

• Strong skills in Excel, including advanced formulas and VBA for automation

• Experience with PowerBI for delivering management information and reporting

• Experience in data extraction from multiple sources using SQL and Python.

• Familiarity with data governance and quality best practices to ensure data accuracy and reliability.

• Highly quantitative, with a keen eye for extracting insights from large data volumes.

• Proactive, flexible, self-motivated approach to problem solving.

• Ability to collaborate with and present to both technical and non-technical partners.

• Knowledge of the asset management industry and financial products is a plus.

• Preferred experience in Financial Services and related Client, Business, or Marketing Analytics.

• Fluency in written and spoken English and Mandarin. Proficiency in Japanese is plus.

• The role requires Professional Licenses: SITCA licensing (Senior Securities Specialist or Securities Investment Trust & Consulting Professionals).

• Qualified applicants, including people with disabilities, are welcome to apply.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity Employer.  We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.