Senior Data Science & Analytics Leader - Drive Strategy

Corient Private Wealth LLC.

Austin (TX)

On-site

USD 100,000 - 140,000

Full time

14 days+

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Benefits offered by this job

401(k) Plan with Employer Matching
Generously subsidized Medical Plan options
Employer paid Dental, Vision & Life Insurance
Paid Maternity & Parental Leave
Flexible Spending Accounts & Health Savings Accounts
Training Reimbursement
Paid Professional Designations
Corporate Discount Program

Job summary

A prominent wealth management firm in Austin, Texas is seeking a data science and analytics leader to manage a team of data analysts. The ideal candidate will possess 4-6 years of experience in data science and 2-3 years in team management, preferably in financial services. Responsibilities include developing data solutions, ensuring data quality, and translating business needs into actionable data specifications. Competitive benefits package and emphasis on employee growth are applicable.

Qualifications

  • 4-6+ years of experience in data science or analytics roles.
  • 2-3+ years of experience managing teams and complex data environments.
  • Background in Financial Services, consulting, or high-growth technology environments preferred.

Responsibilities

  • Lead data science and analytics team delivering dashboards and reports.
  • Develop data solutions for decision-making and measurable business impact.
  • Ensure data integrity through quality assurance processes.
  • Document data sources and logic clearly.
  • Translate stakeholder needs into actionable data specifications.

Skills

SQL
DBT
Python
Tableau
Data modeling
Data transformations
Analytical skills
Problem-solving
Effective communication

Education

Academic background in quantitative discipline

Job description

A prominent wealth management firm in Austin, Texas is seeking a data science and analytics leader to manage a team of data analysts. The ideal candidate will possess 4-6 years of experience in data science and 2-3 years in team management, preferably in financial services. Responsibilities include developing data solutions, ensuring data quality, and translating business needs into actionable data specifications. Competitive benefits package and emphasis on employee growth are applicable.
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