• Aggregate and clean datasets from multiple sources (interviews, surveys, public datasets, tourism metrics) • Develop dashboards and visualizations using tools such as: - Power BI - Tableau - Looker Studio • Translate qualitative interview data into structured insights and themes • Support development of: - Regional economic profiles - Tourism and recreation impact summaries - Data visuals for reports, media, and presentations • Collaborate with media and storytelling teams to align data insights with narrative outputs • Assist in compiling the final Economic Insights Report • Organize and document datasets for future partner use

Role Description Join us to start Caring. Connecting. Growing together. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. - Lead the design, development, and implementation of enterprise-grade data and AI solutions, including the use of Large Language Models (LLMs) to automate data ingestion, transformation, and real-time streaming workflows. - Act as a senior technical consultant, partnering with business stakeholders to translate ambiguous or undefined requirements into clear data strategies, architectures, and implementation plans. - Implement and integrate agentic frameworks to enable autonomous decision-making workflows. - Architect, build, and optimize scalable data pipelines and intelligent workflows using Python, PySpark, SQL, and cloud-native technologies. - Develop, refine, and govern prompt engineering strategies and agentic AI frameworks to support autonomous and decision-oriented data workflows. - Create and maintain detailed data specifications, mappings, and transformation logic to standardize disparate healthcare and insurance datasets into common, governed structures. - Perform in-depth data analysis to identify data quality, logic, and mapping issues; determine root causes and drive resolution through structured, consultative problem-solving. - Provide subject-matter expertise in healthcare and claims data, supporting issue documentation, stakeholder reviews, and iterative resolution within an agile delivery framework. - Ensure all solutions align with healthcare data standards, regulatory requirements, data governance policies, and Responsible AI principles. - Contribute to the evaluation, testing, validation, and production deployment of data and AI solutions. - Mentor junior engineers and analysts, promoting best practices, technical rigor, and a culture of knowledge sharing and continuous improvement. - Operate with a high degree of autonomy and accountability, delivering solutions aligned with business priorities, timelines, and quality expectations. - Communicate complex technical and analytical concepts clearly and effectively to both technical and non-technical audiences, including senior leadership. Qualifications - High School Diploma/GED - 5+ years of Healthcare Insurance data analysis experience - 5+ years of proven solid experience in Python, PySpark, T-SQL, SQL, Snowflake or Databrick technologies - 3+ years of hands-on experience in data engineering or backend automation - 3+ years of demonstrated experience with CI/CD pipelines - 2+ years of experience in any one cloud technologies: Azure (Databricks, ML Studio) or relevant experience in AWS or GCP - 1+ years of hands-on experience in building AI Agents or Agentic AI Systems integrating with Data Engineering Pipelines Requirements - Experience with ETL tools, workflow orchestration (Databrick Workflow, Lakeflow Spark Declarative Pipelines), and data warehousing (Snowflake) - GitHub Actions, and containerization tools (Docker) - Ability to work independently and mentor junior team members - Proven excellent problem-solving skills and adaptability in a fast-paced environment Benefits - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (all benefits are subject to eligibility requirements) Application Deadline This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

• Analyzing requirements, gathering data, producing deliverables, and presenting findings using Solventum HIS methods and products for assigned clients. • Interpreting results, creating reports, and visualizing data for internal consultants and external clients. • Developing and managing code in SQL, Athena, R, Python, and other languages for data querying and statistical analysis. • Work with healthcare experts to develop logic and data-driven solutions that meet Solventum client goals.

About this role About Preqin  This role sits within Preqin, a part of BlackRock. Preqin plays a key role in how we are revolutionizing private markets data and technology for clients globally, complementing our existing Aladdin technology platform to deliver investment solutions for the whole portfolio.  You will be joining the world’s leading data and insights provider for the alternatives assets industry. We empower the finance community with comprehensive data and expert insights so they can make faster and smarter investment decisions with precision and confidence. We are a forward-thinking company and strive to make an impact by enabling our customers to envision future possibilities, invest in ideas and infrastructure that build strong communities.  Job Overview Data is core to Preqin’s industry offerings, and the data and research management team delivers accurate, timely and complete data enhancing the value of our award-winning offerings. The trust in our underlying content enables our clients to make key investment decisions.  Besides collecting content, the data management team collaborates extensively with our internal and external clients to improvise our offerings leveraging technology and subject matter expertise. The team understands the life cycle of data and establishes business intelligence reports seeking operational excellence.   The individual is responsible for aiding in the future growth and development of the team’s internal and external services as well as assisting with the ongoing development of its team members. This role based in Hong Kong will form a core part of the Investors – Greater China team. This is achieved through operational excellence and clear day-to-day maintenance of the dataset & content, including core business-as-usual (BAU) tasks and going above and beyond to collaborate, innovate and execute on relevant ad-hoc projects to improve the accuracy, completeness and timeliness of data. Role Responsibilities - Establish and nurture relationships with key industry professionals of all levels within the alternative assets to obtain valuable proprietary information and insights regarding market sentiment and investment strategies - Conduct face-to-face interactions with clients, demonstrate high standard of professionalism and subject matter expertise - Provide tailored research and data support to clients and internal stakeholders, helping drive engagement and retention - Respond to client inquiries with precision and professionalism, offering consultative guidance on data usage and methodologies - Assist in onboarding new clients by providing data walkthroughs and market insights - Maintain and enhance the accuracy, completeness, and timeliness of investor profiles within Preqin’s database. Perform rigorous data validation and cross-checking using public filings, regulatory disclosures, and direct communications - Troubleshooting escalated data quality incidents, collaborating with regional stakeholders and/or global BUs as needed - Demonstrating subject matter expert (SME) for the dataset, supporting internal and external stakeholders in gaining an understanding of internal processes concerning data management - Assisting in managing day-to-day data operations with an aim to create and further operational excellence - Provide support to Research Insights, Product & Marketing Groups, etc., to ensure all related publications and content are delivered according to guidelines and deadlines - Supporting senior team members on research projects and getting involved in further data enhancement and development activities Qualifications - At least 2 years of relevant working experience in data/financial data services is required, preferably within alternative assets space - Proven track record of engaging with institutional clients and high-level executives in finance industry  - Confident presenting market intelligence, managing client relationships and handling sensitive information - Exceptional interpersonal skills with a proven ability to build trust, credibility, and long-term rapport with clients and industry stakeholders - Proven ability to understand client needs and apply a consultative approach to deliver effective solutions - Solid understanding of various investor types and key financial concepts across private markets - Prior experience working in or knowledge of the alternative assets industry or prior expertise within Data Management in financial services is preferred   - Effective time management and prioritization skills, with a focus on continuous improvement and operational excellence - Intellectual curiosity, strong attention to detail, and a proactive approach to identifying and solving problems - Familiarity with CRM platforms like Salesforce and Outreach. Proficiency in data visualization tools such as Excel, SQL, Alteryx, and Power BI is a plus - Experience working across geographies and time zones, with a collaborative and inclusive mindset - Strong organizational skills and ability to manage multiple priorities in a fast-paced and dynamic environment - Bachelor’s degree or higher in Finance, Business, Economics, or a STEM discipline. Advanced degrees or professional certifications (e.g., CFA, CAIA) are a plus - Excellent written and verbal communication skills in both Mandarin and English. Additional capability in Asian language is a plus. 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.