**Join careerzynith's Dynamic Team and Shape the Future of Data Management**
Are you a detail-oriented and analytical individual with a passion for data management? Do you want to be part of a dynamic team that's shaping the future of data-driven decision-making? Look no further! careerzynith is seeking an experienced Full Stack Data Entry Specialist to join our Enterprise Data Strategy team.
**About careerzynith**
careerzynith is a leading global financial services company that's committed to delivering exceptional customer experiences. With a rich history of innovation and a strong focus on data-driven decision-making, we're constantly pushing the boundaries of what's possible. Our team is made up of talented individuals from diverse backgrounds who share a common goal: to make a meaningful impact on our customers' lives.
**Job Highlights**
* **Immediate Start**: We're looking for someone to start immediately, so if you're ready to dive in and make a difference, we want to hear from you!
* **Competitive Salary**: You'll be rewarded with a competitive salary that reflects your skills and experience.
* **Remote Work**: Enjoy the flexibility of working from home or a remote location, with the option to collaborate with our team in person when needed.
* **Opportunities for Growth**: As a Full Stack Data Entry Specialist, you'll have the opportunity to develop your skills and take on new challenges, with a clear path for career advancement.
* **Collaborative Team**: Join a team of talented individuals who are passionate about data management and committed to delivering exceptional results.
**Job Description**
As a Full Stack Data Entry Specialist on our Enterprise Data Strategy team, you'll play a critical role in supporting the development of innovative and impactful techniques to drive business growth and credit & fraud risk control excellence. Your responsibilities will include:
* **Supporting the development of revolutionary and impactful techniques**: Collaborate with our strategic partnerships to drive business growth and credit & fraud risk control excellence.
* **Supporting the Enterprise Data Strategy**: Work across the customer lifecycle to develop and implement data-driven solutions that drive business growth and credit & fraud risk control excellence.
* **Analyzing present and new data reasserts**: Identify opportunities to optimize our data answers & purchases and address business needs.
* **Reviewing and displaying data quality, insurance, and freshness**: Ensure that our data is accurate, complete, and up-to-date.
* **Collaborating with new data and present partners**: Identify new data possibilities and develop present data change processes.
* **Closely partnering with colleagues**: Work closely with colleagues across CFR Data Strategy, Product Owners, Compliance, CFR Risk Strategy, CFR Fraud Strategy, and Decisions Science.
**Essential Qualifications**
* **Demonstrated capacity to work independently and across a matrixed organization**: Proven ability to work independently and collaboratively across a matrixed organization to deliver results at high speed.
* **Ability to manage and lead big-scale projects**: Experience managing and leading big-scale projects with multiple stakeholders.
* **Good communication and influencing skills**: Strong verbal communication and influencing skills, with the ability to translate data and analytics into business insights and recommendations.
* **Strong technical skills**: Proficiency in Python, SQL, Spark, SAS, and experience with big data and cloud environments.
* **Experience in an economic services company in data or process function**: Experience working in an economic services company in a data or process function.
* **Knowledge of Credit Risk and/or Fraud Risk standards, practices, or outside Credit or Fraud Risk data reasserts preferred**: Knowledge of Credit Risk and/or Fraud Risk standards, practices, or outside Credit or Fraud Risk data reasserts preferred.
* **Master's Degree or better required, attention in a quantitative discipline preferred**: Master's Degree or better required, with a focus in a quantitative discipline preferred.
**Preferred Qualifications**
* **Ability to multitask, prioritize, and work under fluid environments**: Proven ability to multitask, prioritize, and work under fluid environments.
* **Experience with data visualization tools**: Experience with data visualization tools, such as Tableau or Power BI.
* **Knowledge of cloud-based data platforms**: Knowledge of cloud-based data platforms, such as AWS or Azure.
**Benefits**
* **Competitive base salaries**: Enjoy a competitive base salary that reflects your skills and experience.
* **Bonus incentives**: Receive bonus incentives for meeting and exceeding performance targets.
* **6% Company Match on retirement savings plan**: Enjoy a 6% company match on your retirement savings plan.
* **Free financial education and financial well-being help**: Receive free financial education and financial well-being help to support your holistic well-being.
* **Comprehensive medical, dental, vision, life insurance, and disability benefits**: Enjoy comprehensive medical, dental, vision, life insurance, and disability benefits.
* **Flexible work arrangements and schedules**: Enjoy flexible work arrangements and schedules, with hybrid and digital options available.
* **20+ weeks paid parental leave for all parents**: Receive 20+ weeks paid parental leave for all parents, regardless of gender, for pregnancy, adoption, or surrogacy.
* **Free admission to international wellness facilities**: Enjoy free admission to international wellness facilities staffed with nurses and doctors (depending on location).
* **Free and exclusive counseling help**: Receive free and exclusive counseling help through our Healthy Minds program.
* **Career development and education opportunities**: Enjoy career development and education opportunities to support your growth and advancement.
**Ready to Join careerzynith's Dynamic Team?**
If you're a detail-oriented and analytical individual with a passion for data management, we want to hear from you! Apply now to join our dynamic team and shape the future of data-driven decision-making.