Lead Data Analyst (Financial/Wealth Management Domain)

  • Atlanta, GA
  • Posted 3 hours ago | Updated 3 hours ago

Overview

Hybrid
$110,000 - $130,000
Full Time
No Travel Required

Skills

Data Analyst
SQL
SSIS
SSRS
Data Visualization
Data Modeling
Power BI
Azure Data Factory
Data Lake
Synapse
Azure Fabric
Microsoft Fabric
Python
Financial Data
Financial Services
Wealth Management
Data Vault 2.0
Microsoft Azure certification
Data management
Data Analytics
Stack Holders
Business Requirements
Problem Solving
Business insights
Data Transformation
Data Cataloging
Data Lineage

Job Details

Hello Connections

We have an Urgent Hiring for a "Senior/Lead Data Analyst" in Atlanta, GA (Hybrid 3 Days a Week)

Senior Lead Data Analyst (Financial/Wealth Management Domain)

Atlanta, GA (Hybrid 3 Days a Week)

W2/FT

***Local Candidates Only as F2F Interview is Mandatory***

Below is the Job Description.

Looking for a Highly motivated Lead Data Analyst with 5+ years of experience in the financial services and wealth management industry. Proven expertise in leveraging data to drive strategic decisions, develop analytical solutions, and translate complex findings into actionable insights. Skilled in data management, advanced analytics, visualization, and stakeholder communication, with strong knowledge

Required Skills & Qualifications:

  • Strong passion for transforming data into critical business insights.
  • Proficiency in SQL and experience with Python or R.
  • Deep knowledge of data analysis methodologies, including statistical analysis and data mining.
  • Experience working with stakeholders to clarify and distill complex requirements into data products.
  • Hands-on experience with data visualization tools such as Power BI.
  • Solid working experience with the Azure/fabric Data Ecosystem (e.g., Azure Data Factory, Data Lake, Synapse).
  • Exposure to applying AI/ML techniques to business challenges.
  • Strong data governance, quality assurance, and data cataloging mindset.
  • Preferred: Experience with Data Vault 2.0 for enterprise data modeling.

Education & Experience:

  • Bachelor s degree in information systems, Computer Science, Business, Finance, Economics, or related field.
  • 5+ years of progressive experience in data analytics and management roles, preferably within wealth management or financial services.
  • MBA with an emphasis in analytics is a plus.

Preferred Qualifications:

  • Background in wealth management or financial services analytics.
  • Excellent communication and stakeholder engagement skills.
  • Familiarity with CRISP-DM / TDSP methodologies.
  • Microsoft Azure certification is a plus.

Organizational Principles at Ccube:
At Ccube, we are guided by a set of core principles that shape our culture and drive our success:
Efficiency: We strive to maximize efficiency by optimizing resource utilization and streamlining
processes.
Client Satisfaction: We are committed to providing exceptional service and exceeding our clients'
expectations.
Innovation: We embrace innovation and continuously explore new technologies and approaches
to deliver cutting-edge solutions.
Humility: We maintain professional modesty and recognize that there is always room for
improvement.
Employee Advantages:
Ccube offers a stimulating and rewarding work environment with numerous benefits for our
employees:
Dynamic Startup Environment: We provide a fast-paced and entrepreneurial environment where
employees can learn, grow, and make a significant impact.
Career Growth Opportunities: We offer ample opportunities for career advancement and
professional development.
Performance-Based Incentives: We reward high-performing employees with competitive
compensation and performance-based bonuses.
Equity Participation: We offer equity participation options to eligible employees, providing them
with ownership and a stake in the company's success.
Professional Development Reimbursement: We encourage continuous learning and reimburse
employees for eligible professional development expenses.
Join Ccube and be part of a team that is shaping the future of data and AI in the cloud.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Ccube