Fraud Risk Data Scientist - Advanced Analytics & Dashboards

Jobtailor; Illinois; On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor in the United States is seeking a data analytics professional to analyze complex data sets, develop innovative data solutions, and drive strategic decision‑making for clients. You will utilize Python for data analysis, build dashboards, and collaborate with cross‑functional teams.

The role emphasizes stakeholder engagement, data quality improvements, and continuous process enhancement to maintain a competitive client offering.

Qualifications

• At least a Bachelor's degree.
• At least 3 years of experience.
• Preference for fields such as Analytics/Data Science, Economics, Engineering, or related.
• Utilizing Python for data analysis and interpretation.
• Developing data visualization and reporting dashboards.
• Embracing change and continuous process improvement.
• Engaging stakeholders through effective communication and teamwork.
• Analyzing industry trends to inform business strategies.

Responsibilities

• Analyze complex data sets to derive actionable insights and support strategic decision‑making.
• Develop and implement innovative data solutions to optimize business performance.
• Utilize advanced analytics techniques to enhance clients' competitive advantage.
• Build and maintain meaningful client relationships.
• Collaborate with cross-functional teams to improve processes and data quality.
• Design and deploy data visualization tools and dashboards.
• Manage stakeholders to align data initiatives with business objectives.
• Apply analytical thinking and data science skills to solve complex business challenges.

Skills

Python Data Analysis

Data Visualization

Stakeholder Management

Analytical Thinking

Cross-Functional Collaboration

Data Pipeline Development

Advanced Analytics Techniques

Statistical Analysis

Education

Bachelor's degree

Tools

Dashboards

Data Visualization Tools

Job description

Jobtailor in the United States is seeking a data analytics professional to analyze complex data sets, develop innovative data solutions, and drive strategic decision‑making for clients. You will utilize Python for data analysis, build dashboards, and collaborate with cross‑functional teams.

The role emphasizes stakeholder engagement, data quality improvements, and continuous process enhancement to maintain a competitive client offering.