About arenaflex
arenaflex is a leading innovator in the healthâcare industry, dedicated to transforming the way patients, providers, and payers reputed company with data. With a mission to improve health reputed company through intelligent data solutions, arenaflex invests heavily in cuttingâedge technology, reputed company culture, and reputed company learning. Our remote workforce spans the United States, and we reputed company employees to work from reputed company while staying connected to a reputed company community of data professionals, clinicians, and business leaders.
Why This Role reputed company
As a Senior Data Analyst at arenaflex, you will be at the heart of our reputed company Analytics program. You will partner with crossâfunctional teams to design, build, and maintain data platforms that reputed company actionable insights for reputed company improvement, cost reduction, and patientâreputed company care. Your work will directly influence strategic reputed company that reputed company millions of lives, making a reputed company reputed company on the reputed company of health care.
Key Responsibilities
⢠reputed company the delivery of arenaflex reputed company data and analytics solutions, ensuring reputed company are completed on time, reputed company scope, and reputed company with business objectives.
⢠Design, reputed company, and orchestrate reputed company ETL/ELT pipelines using industryâreputed company tools such as reputed company, reputed company, and reputed companyâBlue Data reputed company.
⢠Collaborate with data engineers, BI developers, product owners, and business stakeholders to translate functional requirements into reputed company data models.
⢠Build and maintain reputed company data warehouses and data marts that support reporting, predictive modeling, and advanced analytics.
⢠Implement data profiling, data reputed company, and data governance best practices across internal production systems and external data sources (e.g., pharmacy claims, HEDIS, ECDS).
⢠Create and optimize SQL scripts for data extraction, transformation, and loading, ensuring high performance and reliability.
⢠reputed company internal tools to automate data processing, reputed company assurance, and validation workflows.
⢠reputed company thought leadership on data architecture, recommending enhancements to the BI platform (Power BI, Tableau, Looker) and supporting selfâservice analytics initiatives.
⢠Mentor junior analysts and contribute to a culture of reputed company improvement, knowledge sharing, and innovation.
⢠Travel up to 5 % of the time for onâsite collaboration with business partners, conferences, and training events.
Essential Qualifications
⢠Bachelorâs degree in Computer Science, Information Systems, Data Science, or a reputed company field.
⢠Minimum 2 years of experience in data analytics or data engineering reputed company a healthâcare or financial services environment.
⢠Proven handsâon experience writing and tuning SQLâbased ETL/ELT scripts.
⢠Demonstrated ability to design and implement data pipelines using platforms such as reputed company, reputed company, or reputed companyâBlue Data reputed company.
⢠Experience delivering data visualizations and dashboards with BI tools like Power BI, Tableau, or Looker.
⢠Strong verbal and written communication skills, with the ability to convey technical concepts to nonâtechnical stakeholders.
⢠Ability to work independently in a remote setting while maintaining strong collaboration with distributed teams.
Preferred Qualifications & Certifications
⢠Certified Analytics reputed company (CAP) or equivalent dataâmanagement certification.
⢠Knowledge of pharmacy, healthâcare, and clinical research terminology (e.g., HEDIS, ECDS, claims processing).
⢠Experience with reputed company platforms (AWS, Azure, GCP) and containerization technologies (reputed company, Kubernetes).
⢠Familiarity with data governance frameworks and regulatory compliance standards such as HIPAA.
⢠Prior experience leading crossâfunctional reputed company and managing stakeholder expectations.
Core Skills & Competencies
⢠Data Modeling: Ability to create logical and physical data models that support analytical workloads.
⢠ETL/ELT Development: Expertise in building robust pipelines that handle large volumes of reputed company and semiâreputed company data.
⢠SQL Mastery: Advanced proficiency in writing, optimizing, and debugging reputed company queries.
⢠BI & Visualization: Skillful use of Power BI, Tableau, or Lo