Intelliswift Software Inc
Data Analyst
LocationPlano, TX 75024 Duration12+ Months Pay: 61.00/hr. The client is seeking a candidate with the following key qualifications and skills: Educational Background : Bachelor's degree or higher in a quantitative STEM field such as Statistics, Finance, Accounting, Math, Economics, Engineering, or Analytics. An advanced degree (e.g., MBA or Master's in a related field) is preferred but not mandatory. Professional Experience : Relevant professional work experience (non-academic, non-intern) in data analytics, business analytics, finance, pricing, or consumer credit risk. Experience in auto financing, consumer lending, or financial institutions is a plus. Technical Skills : Must-Have: High proficiency in SQL and Python (or R), with coding skills tested during interviews. Strong experience in data acquisition, manipulation, and cleaning. Proficiency in Excel, PowerPoint, and Tableau for data visualization and presentations. Expertise in identifying trends and indicators through quantitative and qualitative analysis. Knowledge of statistics and predictive modeling techniques. Nice-to-Have: Experience with AI/ML is a plus. Soft Skills : Strong analytical thinking and problem-solving abilities. Ability to work autonomously with minimal supervision. Excellent communication skills for presenting insights and collaborating with stakeholders. Comfort presenting ideas to audiences of various sizes, both virtually and in-person. Work Environment : Hybrid work model (2-3 days per week in the office in Plano, TX, with potential to increase to Monday-Thursday). Ability to collaborate effectively in a hybrid work environment. Key Responsibilities : Perform root cause analysis and propose data-driven solutions. Develop tools like Python calculators for stakeholders. Generate actionable insights through data storytelling using presentations, visualizations, and clear communication. Assess the impact of actions on customers, employees, and the company. Coordinate with stakeholders to implement and measure recommended actions.
LocationPlano, TX 75024 Duration12+ Months Pay: 61.00/hr. The client is seeking a candidate with the following key qualifications and skills: Educational Background : Bachelor's degree or higher in a quantitative STEM field such as Statistics, Finance, Accounting, Math, Economics, Engineering, or Analytics. An advanced degree (e.g., MBA or Master's in a related field) is preferred but not mandatory. Professional Experience : Relevant professional work experience (non-academic, non-intern) in data analytics, business analytics, finance, pricing, or consumer credit risk. Experience in auto financing, consumer lending, or financial institutions is a plus. Technical Skills : Must-Have: High proficiency in SQL and Python (or R), with coding skills tested during interviews. Strong experience in data acquisition, manipulation, and cleaning. Proficiency in Excel, PowerPoint, and Tableau for data visualization and presentations. Expertise in identifying trends and indicators through quantitative and qualitative analysis. Knowledge of statistics and predictive modeling techniques. Nice-to-Have: Experience with AI/ML is a plus. Soft Skills : Strong analytical thinking and problem-solving abilities. Ability to work autonomously with minimal supervision. Excellent communication skills for presenting insights and collaborating with stakeholders. Comfort presenting ideas to audiences of various sizes, both virtually and in-person. Work Environment : Hybrid work model (2-3 days per week in the office in Plano, TX, with potential to increase to Monday-Thursday). Ability to collaborate effectively in a hybrid work environment. Key Responsibilities : Perform root cause analysis and propose data-driven solutions. Develop tools like Python calculators for stakeholders. Generate actionable insights through data storytelling using presentations, visualizations, and clear communication. Assess the impact of actions on customers, employees, and the company. Coordinate with stakeholders to implement and measure recommended actions.