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Experienced Full Stack Data Entry Specialist – Enterprise Data Strategy

Worldwide Salaried Open

Join arenaflex'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! arenaflex is seeking an experienced Full Stack Data Entry Specialist to join our Enterprise Data Strategy team.

About arenaflex

arenaflex 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 arenaflex'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. Apply for this job

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