Experienced Full Stack Data Entry Specialist – Remote Opportunity with arenaflex

At arenaflex, we're dedicated to transforming the way we approach healthcare, and we're looking for talented individuals to join our team. As a full stack data entry specialist, you'll play a critical role in helping us achieve our mission of providing more personalized, convenient, and affordable healthcare to our communities.

About arenaflex

arenaflex is a leading healthcare company that's committed to making a positive impact on people's lives. Our team is passionate about delivering exceptional care and services that meet the unique needs of our patients. We're driven by a shared purpose to improve health outcomes, reduce costs, and enhance the overall patient experience.

Our Heart At Work Behaviors

At arenaflex, we believe that our employees are the heart of our organization. That's why we've developed a set of guiding principles called Heart At Work Behaviors. These behaviors empower our team members to take ownership of their work, collaborate with colleagues, and strive for excellence in everything they do.

Job Summary

As a full stack data entry specialist, you'll be responsible for managing and analyzing large datasets to inform business decisions and drive growth. You'll work closely with our analytics team to develop and implement data-driven solutions that meet the needs of our stakeholders. This is a remote opportunity, and you'll have the flexibility to work from anywhere.

Key Responsibilities

* Collaborate with business partners to develop analytics strategies that address business priorities (using predictive modeling, statistical analysis, or metric evaluation)

• Own and manage analytics workstreams, leading a team of analysts and data scientists to build end-to-end analytical products
• Use robust data in algorithms and predictive models to recommend approaches, identify issues, discover patterns, and propose solutions
• Perform analyses of structured and unstructured data to resolve complex business problems using advanced statistical methods and mathematical analyses, as well as a deep understanding of the business and/or industry
• Develop and participate in presentations and consultations to communicate and potential implications of analytics results and solutions
• Use robust programming skills to explore, analyze, and interpret large volumes of data in various formats

Required Qualifications

* 3+ years of relevant analytic experience

• Experience programming using R or Python
• Experience in SQL

Preferred Qualifications

* Demonstrates strong ability to communicate technical ideas and implications to business partners

• Anticipates and prevents problems and roadblocks before they occur
• Strong knowledge of advanced analytics tools and languages to research large data sets from multiple data sources
• Demonstrates expertise in most areas of mathematical evaluation methods, system learning, statistical analyses, and predictive modeling, with in-depth specialization in some areas

Education

* Bachelor's degree or equivalent work experience in Mathematics, Data, Computer Science, Business Analytics, Economics, Physics, Engineering, or related field

• Master's degree or PhD preferred

Benefits

At arenaflex, we offer a comprehensive benefits package that includes:

• A complete range of medical, dental, and vision benefits
• Eligibility to join our 401(k) retirement savings plan
• An Employee Stock Purchase Plan for eligible employees
• Fully-paid term life insurance coverage for eligible employees
• Short-term and long-term disability benefits
• Several wellness programs, training assistance, free development courses, a CVS store discount, and discounted programs with collaborating partners
• Paid Time Off (PTO) or vacation pay, as well as paid vacations during the calendar year
• A number of paid holidays, sick time, and other days off, provided in accordance with applicable state regulations and company policies

Equal Employment Opportunity

arenaflex is an equal opportunity employer. We value diversity and encourage individuals from all backgrounds to apply.

How to Apply

If you're passionate about data analysis and want to join a team that's making a difference in healthcare, apply now! Apply for this job