Senior Data Analyst

Join a team that values your ambition and empowers your growth!

At Corient, we help high- and ultra-high-net-worth individuals and families to enjoy a full life, while enabling them to preserve their wealth for future generations, and provide for the people, causes and communities they care about. We focus on exceeding expectations, simplifying lives, and establishing legacies that last for generations.

We are always looking for talented and motivated individuals to join our team. If you want to work for a company that values your contributions and supports your growth, we would like to meet you.

Overview

As a Senior Data Analyst, you will be responsible for developing and managing robust, actionable data analytics and reporting products to support top-priority business needs and decision making.

Key Responsibilities

• Data solutions. Develop and maintain data analytics solutions focused on enabling decision making, optimization, and measurable business impact for key functional and business stakeholders. Develop and maintain dashboards, recurring reports, and analytical outputs.
• Data quality assurance. Implement data validations to ensure integrity of data solutions. Ensure that data processes and outputs are robust, insightful, and timely.
• Ad-hoc analytics and insights. Promptly address ad-hoc analysis requests with clear, well-structured outputs rooted in accurate data and focused on delivering actionable insights.
• Documentation. Maintain clear documentation of data sources, logic, data transformations, lineage, and outputs.
• Cross-functional data analytics support. Translate stakeholder needs into clear data specifications to meet business requirements. Act as a senior subject matter expert for enterprise analytics and reporting.

Qualifications

• 2-3+ years of experience in data science or analytics roles.
• Background in Financial Services, consulting, or high-growth technology environments preferred.
• Distinguished academic track record in quantitative discipline.

Skills and competencies

• Proficiency in advanced data tooling, including SQL, DBT, and Tableau, as well as data modeling and data quality frameworks.
• Advanced Excel modeling skills preferred.
• Strong analytical, problem-solving, and critical thinking skills.
• Effective communication, both orally and in writing.
• Strong documentation and attention to detail.
• Ability to work independently and collaboratively in a fast-paced, dynamic environment.