Senior Analytics Engineer, Vice President
ED3 - 20 Brandon Street, Edinburgh, United Kingdom
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 Role
The Analytics Engineer will play a pivotal role in delivering data-driven insights and scalable reporting solutions that enhance the client experience across the Aladdin platform. This role sits within the Data & Analytics (D&A) function of the Technology Client Experience (TCE) team, which supports a wide variety of initiatives across the organisation by building intelligent dashboards, integrating key Service Management data, and maintaining a self-service metrics platform using Power BI
Key Responsibilities
Data Collection & Analysis:
Extract, transform, and load data from various sources.
Clean and preprocess data to ensure accuracy and consistency.
Transform complex data requirements into structured, maintainable data models using tools such as Power BI, Power Query, DAX, SQL, Snowflake.
Apply analytical techniques to derive insights from complex datasets.
Data Visualization & Reporting:
Design, build, and maintain scalable, reliable, and user-centric Dashboards that enable our stakeholders to make informed decisions, providing a more stable user experience for our Aladdin Clients
Present data insights and dashboards to stakeholders and senior leadership
Collaborate with cross-functional teams to design and deliver actionable insights.
Data Quality Assurance:
Monitor the health of the reporting platform, including daily refreshes and scheduled data extraction jobs – proactively investigating and resolving any failures
Collaborate with data domain owners and SMEs to investigate and resolve upstream data quality issues or schema changes within source systems such as ServiceNow
Continuous Learning and Development:
Stay abreast of industry trends, best practices, and emerging technologies in data analytics
Carry our demos of new functionality for end users, gather feedback and iterate to improve usability
Create and maintain documentation, training materials, and information packs to support knowledge sharing with colleagues and foster a culture of continuous learning
Required Skills and Experience
Demonstrated expertise in Power BI (or other data visualisation tools such as Tableau or Looker) and extensive SQL experience
Solid understanding of data modelling principles & performance optimization
Strong analytical mindset with attention to detail and problem-solving skills.
Proficient with Agile methodologies
Ability to work both independently and collaboratively in a team environment.
Exceptional communication and stakeholder engagement skills
Preferred
Experience with Python for data analysis and automation.
Experience with AI implementation/anomaly detection
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; 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, race, religion, sex, sexual orientation and other protected characteristics at law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Data analysis Data Analytics Data quality Data visualization Finance Looker Power BI Python Snowflake SQL Tableau
Perks/benefits: Career development Flex vacation Health care
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