Data Analyst

Corient•Miami, FL

6d•Hybrid

About The Position

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.

Requirements

2-3+ years of experience in data science or analytics roles.
Distinguished academic track record in quantitative discipline.
Proficiency in advanced data tooling, including SQL, DBT, and Tableau, as well as data modeling and data quality frameworks.
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.
Must be 18 years of age or older.
Must have unrestricted work authorization to work in the United States.
For U.S. employment opportunities, Corient hires U.S. citizens or permanent residents.
Corient will require proof of work authorization.
Must be willing to execute Corient’s Employee Agreement or Confidentiality and Non-Disclosure Agreement, which require, among other things, post-employment obligations relating to non-solicitation, confidentiality, and non-disclosure.

Nice To Haves

Background in Financial Services, consulting, or high-growth technology environments preferred.
Advanced Excel modeling skills preferred.

Responsibilities

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.
Implement data validations to ensure integrity of data solutions.
Ensure that data processes and outputs are robust, insightful, and timely.
Promptly address ad-hoc analysis requests with clear, well-structured outputs rooted in accurate data and focused on delivering actionable insights.
Maintain clear documentation of data sources, logic, data transformations, lineage, and outputs.
Translate stakeholder needs into clear data specifications to meet business requirements.
Act as a senior subject matter expert for enterprise analytics and reporting.