Job Overview:
We are seeking a highly skilled and detail-oriented Remote Data Entry Specialist to join our team at American Express. As a part-time remote worker, you will play a critical role in fostering predictive modeling for businesses, combining customer behaviors and data granularity. If you have a passion for data analysis and a keen eye for detail, we encourage you to apply for this exciting opportunity.
Key Responsibilities:
- Apply statistical and econometric modeling techniques to solve business problems in the financial industry
- Utilize AI strategies to improve metrics and generate business insights
- Collaborate with finance, risk, and business teams to derive strategic insights using visualization and reporting tools
- Research and implement emerging technologies to ensure effective quantitative scientific methodologies and procedures to drive business objectives
Requirements:
- Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Information Systems, or a related field
- 3 years of experience in applying statistical and econometric modeling methods to solve business problems in the financial industry
- Experience with quantitative, numerical, and statistical concepts and data processing procedures, including survival analysis, linear and logistic regression, time series analysis, panel data, decision tree analysis, and multivariate distribution theory
- Proficiency in data visualization tools, including Tableau, and database queries, including SQL, Teradata, and HiveQL
- Experience with machine learning strategies, Python, R, and SAS
What We Offer:
- Competitive salary: $19/hour
- Comprehensive benefits package, including medical, dental, vision, life insurance, and disability benefits
- 6% company match on retirement savings plan
- Free financial coaching and financial wellness support
- 20+ weeks paid parental leave for all parents, regardless of gender
- Free access to on-site health centers with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
How to Apply:
If you are a motivated and detail-oriented individual with a passion for data analysis, please submit your application today. We value a great attitude and a willingness to learn above all, so don't worry if you don't meet every single requirement.
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