Client Platform Reporting, Analytics & Data Science Lead Associate/VP
NY2-New York - 55 East 52nd Street (PAZ), United States
BlackRock
BlackRock is the world's largest investment manager helping individuals and financial professionals build a better financial future. Read more.About this role
About the Client Platform Team
BlackRock manages its engagement with clients and colleagues across the firm through the Client Platform, which is our client book or record.
The Global Client Platform team, part of Global Product Solutions (GPS), is dedicated to enhancing client interactions, improving sales management processes and providing actionable insights through technology solutions that help BlackRock better anticipate and engage clients' needs. The team has been leading the effort of introducing a new firmwide CRM, Content Management, and Client Data system to streamline sales management. The team more broadly leads the introduction of Management Report, AI tools, Content Management Systems to better equip our client-facing teams with data and insights, facilitate cross team collaboration so we deliver to client as 1BLK.
Client Platform Reporting, Analytics & Data Science Lead ASO or VP
BlackRock’s Client Businesses manage its engagement with clients and colleagues across the firm through a client platform. Given our growing business and rapidly evolving marketplace, it is important that the team be aware of both the world around them as well as ongoing evolution to our client platform. This role will leverage technology and data to develop reporting that delivers actionable insights to the Client Business and Product Strategy Teams. The actionable insights will enable leadership to better manage their businesses as well as relationship managers know their clients better. It will directly shape how BlackRock sells to and services our clients and ultimately drives our business forward.
Key Responsibilities
Delivery of insights from the Client Platform through PowerBI reporting including maintaining centralized reporting suite and building new report tooling
Delivery of data science solutions including generation of insights leveraging sentiment analysis and trend capture, automation of workflows, and competitor landscaping
Implement the strategic vision for reporting and analytics within the Client Platform team. Lead a team of analytics professionals to achieve this vision.
Refine ambiguous business questions into key performance metrics through a deep understanding of the data, our clients, and our business.
Understand the purpose of reporting to business stakeholders and provide thought leadership on improving our global reports as well as supporting bespoke business needs.
Create high visibility dashboards, reports, and visualizations to ensure the timely delivery of valuable metrics and actionable insights.
Work closely with cross-functional teams across the client and product business to align reporting and analytics initiatives with overall business objectives.
Act as a resource for citizen developers within the client business unit developing their own bespoke reporting
Collaborate with other members of the data science and analytics community across the firm on best practices, code review, internal tools and process improvements.
Skills/Qualifications
The ability to effectively collaborate with and present to both technical and non-technical partners
Understanding of decision science, with the ability to drive optimal choices based on available information while eliminating bias
Experience PowerBI, Tableau, QlikView, or similar for delivery and visualization of management information and reporting
Excellent SQL and Python/R, data analysis, and problem-solving skills, with the ability to understand statistical modeling techniques as well as machine learning
Experience leveraging and pulling data from large data sets and platforms such as Snowflake
Highly quantitative, with a keen eye for teasing out insights from volumes of data
Basic understanding of experimental design (such as A/B experiments) and statistical methods
Intellectual curiosity and a commercial mindset
An upbeat teammate and driven self-starter, with a positive attitude and excellent work ethic.
Experience of developing data solutions such as ETLs, databases, API’s to both source and provide data, and automation a plus
Experience leading teams and delivering results
Bachelors or Masters degree in Math, Computer Science, Statistics, Economics, Physics, Engineering or another quantitative field
For San Francisco, CA and New York, NY Only the salary range for this position is USD$132,500.00 - USD$162,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including heath care, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
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 workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our privacy policy.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing APIs Computer Science Data analysis Economics Engineering ETL Finance Machine Learning Mathematics Physics Power BI Privacy Python QlikView R Snowflake SQL Statistical modeling Statistics Tableau
Perks/benefits: Career development Flex hours Flex vacation Salary bonus Transparency
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