Join arenaflex as a Senior Analytics Engineer – Transform Healthcare Data Insights
Are you ready to play a pivotal role in shaping the future of healthcare data analytics? arenaflex is seeking a talented and motivated Senior Analytics Engineer to join our dynamic Healthcare Analytics team. In this exciting position, you will collaborate with cross-functional teams of data professionals, BI engineers, system administrators, and business stakeholders to deliver impactful performance insights across arenaflex Health. This is a fantastic opportunity for someone passionate about data engineering, healthcare analytics, and making a meaningful difference in patient outcomes through data-driven decision-making.
About arenaflex
At arenaflex, we believe that data has the power to transform healthcare. As a leading organization in the health and wellness industry, we are committed to leveraging advanced analytics and technology to improve the quality of care for millions of patients across the nation. Our mission is to deliver exceptional healthcare solutions while fostering an inclusive, innovative, and collaborative work environment. We pride ourselves on investing in our people, providing cutting-edge tools and resources, and creating pathways for career advancement.
Join our team and become part of an organization that values innovation, integrity, and excellence. At arenaflex, you'll have the opportunity to work on challenging projects, collaborate with industry experts, and contribute to meaningful initiatives that improve healthcare delivery and patient outcomes.
Position Overview
As a Senior Analytics Engineer at arenaflex, you will work closely with internal IT information design and analytics teams to implement and maintain data pipeline infrastructure that enables report automation for the arenaflex Healthcare Quality Improvement program – Data and Insights commercialization. You will be responsible for designing, building, and optimizing data solutions that empower stakeholders across the organization to make informed, data-driven decisions.
This role offers the chance to work with large-scale healthcare datasets, implement best practices in data engineering, and collaborate with diverse teams to deliver actionable insights. If you have a passion for healthcare data, strong technical skills, and the ability to lead initiatives, we want to hear from you!
Key Responsibilities
As a Senior Analytics Engineer, you will be responsible for driving the delivery of arenaflex Health data and insights initiatives and projects. Your key responsibilities will include:
- Data Pipeline Development: Plan, develop, and deploy layered databases and data pipelines to support reporting and analytics projects across the organization.
- ETL/ELT Implementation: Apply data extraction, transformation, and loading best practices to integrate large datasets from various internal arenaflex production system sources and third-party files.
- Data Modeling: Create data organization and preprocessing standards for populating logical and physical data models attached to report-specific working tables for both enterprise business intelligence and predefined reporting solutions.
- Data Analysis: Perform data profiling and data analysis across internal production systems, manually maintained data, and standard healthcare datasets including member eligibility, clinical claims, pharmacy claims, and HEDIS ECDS records.
- Automation: Develop internal tools for automation of all development-related activities including data processing, QA, and data validation.
- Collaboration: Work collaboratively with cross-functional teams of data experts, BI engineers, system administrators, and data consumers to deliver performance insights across arenaflex Health.
- Support Activities: Support long-term and ad-hoc data ETL and data warehousing activities to meet arenaflex Health reporting and analytics requirements.
- Stakeholder Communication: Communicate effectively with technical teams, internal partners, clients, and vendor partners to understand requirements and deliver solutions.
Essential Qualifications
To succeed in this role, you must possess the following qualifications:
- Educational Background: Bachelor's degree in Computer Science, Information Technology, Healthcare Informatics, or a related field.
- SQL Expertise: Proven, hands-on experience writing and tuning SQL-based ETL/ELT scripts with optimal performance.
- Data Engineering Experience: Experience planning and deploying logically separated data environments using ETL/ELT services including Azure Data Factory, Databricks, or Snowflake.
- BI Platform Knowledge: Experience providing thought leadership and presenting tool-agnostic semantic data layer enhancements related to BI technology platforms such as PowerBI, Tableau, or Looker.
- Communication Skills: Strong verbal and written communication skills with technical teams, internal stakeholders, clients, and vendor partners.
- Business Acumen: Minimum of 2 years of experience contributing to financial decisions in the workplace.
- Leadership Skills: At least 2 years of direct leadership, indirect management, or cross-functional team leadership experience.
- Travel Capability: Willingness to travel up to 5% of the time for business purposes (both within state and out of state).
Preferred Qualifications
While not required, the following qualifications will give you a competitive edge:
- Certification: Certified Analytics Professional (CAP) credential or equivalent data analytics certification.
- Healthcare Industry Knowledge: Familiarity with pharmacy, healthcare, and clinical research concepts.
- Healthcare Data Standards: Understanding of HEDIS (Healthcare Effectiveness Data and Information Set) and ECDS (Electronic Clinical Data System) standards.
- Additional Cloud Platforms: Experience with additional cloud-based data platforms and tools.
Required Skills and Competencies
To thrive in this role at arenaflex, you should possess the following skills and competencies:
- Technical Proficiency: Deep expertise in SQL, ETL/ELT processes, and data warehousing concepts.
- Data Modeling: Strong understanding of dimensional modeling, data vault concepts, and best practices for data architecture.
- Problem-Solving: Excellent analytical and problem-solving skills with the ability to troubleshoot complex data issues.
- Attention to Detail: Meticulous attention to data quality and accuracy.
- Teamwork: Ability to collaborate effectively with cross-functional teams and stakeholders.
- Time Management: Strong organizational skills with the ability to manage multiple priorities and meet deadlines.
- Innovation: Creative thinking and willingness to propose new approaches to data challenges.
Career Growth and Learning Opportunities
At arenaflex, we are committed to helping our employees grow and develop in their careers. As a Senior Analytics Engineer, you will have access to numerous opportunities for professional development, including:
- Advanced Training: Comprehensive training programs on the latest data engineering tools, cloud platforms, and healthcare analytics methodologies.
- Career Advancement: Clear pathways for career progression into leadership roles such as Lead Analytics Engineer, Analytics Manager, or Director of Data Engineering.
- Industry Certifications: Support and sponsorship for obtaining industry-recognized certifications in data analytics, cloud platforms, and healthcare informatics.
- Mentorship: Access to experienced mentors who can guide your professional growth and help you navigate your career path.
- Cross-Functional Exposure: Opportunities to work on diverse projects across different business units, expanding your expertise and network within the organization.
Work Environment and Culture
At arenaflex, we foster a collaborative, inclusive, and innovative work environment. We believe that diverse perspectives drive creativity and better outcomes. Our culture is built on trust, respect, and a commitment to excellence. Here's what you can expect:
- Flexible Work Arrangements: We offer flexible work schedules and remote work options to help you maintain work-life balance.
- Team Collaboration: Cross-functional teamwork is at the heart of everything we do. You'll work alongside talented professionals from various disciplines.
- Innovation Culture: We encourage experimentation and innovation, providing the freedom to explore new ideas and approaches.
- Inclusive Environment: We celebrate diversity and create an inclusive workplace where everyone feels valued and respected.
- Employee Wellness: Comprehensive wellness programs to support your physical, mental, and emotional well-being.
Compensation and Benefits
arenaflex offers a competitive compensation package designed to attract and retain top talent. In addition to a base salary of $30 per hour (commensurate with experience), we provide a comprehensive benefits package including:
- Health Insurance: Medical, dental, and vision coverage for you and your family.
- Retirement Plans: 401(k) plan with company matching contributions.
- Paid Time Off: Generous vacation, sick leave, and personal days.
- Holidays: Paid company holidays.
- Professional Development: Tuition reimbursement and professional development opportunities.
- Employee Assistance Program: Confidential support services for personal and professional challenges.
- Life Insurance: Company-paid life insurance and disability coverage.
- Employee Discounts: Discounts on arenaflex products and services.
How to Apply
If you're ready to take the next step in your career and join a team that's transforming healthcare through data, we encourage you to apply for this exciting opportunity. At arenaflex, you'll work on challenging projects, collaborate with brilliant minds, and make a real impact in the healthcare industry.
To apply, please submit your resume and cover letter through our online application portal. We look forward to hearing from you!
arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.