Data Analytics and Automation Analyst – MEX

Key Skills

Aartificial intelligence, Azure, Data Analytics, Data science techniques, DevOps, Google Cloud Platform (GCP), Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), PowerBI, Python Programming, SQL, Tableau, VBA

Job Description

We are looking for an individual who is driven and curious, with a coding background or education in the finance industry. As part of the DAA team, you will work with business and technology partners to develop and deliver data analytics and automation solutions. The role will involve writing clean, scalable, and sophisticated code in languages (such as Python, SQL, and VBA) and producing insightful business intelligence (such as reports in Tableau or Power BI dashboards). Knowledge of AI/ML concepts and professional experience preferred.

This role requires a business oriented approach and creativity in finding ways to support the sales process, optimize operations, and mitigate risks. The candidate should be able to handle a steep learning curve and a dynamic environment. The ideal candidate is resilient, flexible, and persistent. This role will offer significant exposure to BlackRock's global senior leaders. The role is for problem-solvers and individuals that do not shy away from seeking help outside their immediate network. In this role, you will frequently face new and challenging situations.

Role Responsibilities:

• Build scalable data pipelines by writing Python or VBA code to load data into databases that can handle large amounts of data.

• Create, run, support, and modify various automated workflows that help business partners.

• Craft SQL queries to optimally analyze and manage data in servers.

• Document automations thoroughly and use distributed version control system (Azure DevOps) to ensure business continuity

• Develop and maintain Tableau or Power BI dashboards that are informative, clear, and attractive

• Provide innovative solutions and tools for complex problems that can be used by non-technical users

• Use various AI techniques such as Machine Learning (ML), Natural Language Processing (NLP), and LLMs (Large Language Models) to improve processes

• Develop and fine-tune predictive, classification, and regression models

• Create an ensemble of AI services (Azure, AWS, Google Cloud) that quickly solves a need of problem

• Optimize LLM (Large Language Models) prompts and context to improve quality of responses

• Contribute to the continuous improvement of the DAA team's processes and methods.

• Collaborate, assist and respect others, and keep improving our skills.

• Stay ahead of with the latest trends and best practices in Artificial Intelligence, data analytics and automation.

Skills/Qualifications:

• 2+ years of experience in data analysis and data visualization skills are required

• Relevant experience in natural language processing and data science skills are desirable

• A bachelor's degree in business, Finance, Economics, Computer Science, Actuarial Science, or related fields

• Bilingual in English and Spanish, with written and oral fluency.

• Exceptional verbal and written communication skills in both English and Spanish. Portuguese is a plus.

• Programming skills in Python, SQL (with knowledge of views and stored procedures), and VBA.

• Skills in creating and applying AI/ML models.

• Knowledge of Azure, AWS or Google Cloud services and tools.

• Creative and resourceful problem-solving skills, with the ability to generate innovative solutions.

• Organized and meticulous, with the ability to handle multiple tasks at once.

• Excellent communication skills and able to convey information clearly and concisely to technical and non-technical audiences.

• Strong analytical skills and attention to detail.

• Self-driven, proactive, and committed to achieving objectives.

Early Careers

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 and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

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.