Senior Data Analyst – Remote, Entry‑Level Friendly, Data Engineering & Business Intelligence for Healthcare Analytics at arenaflex – $75,000 Annual Salary

About arenaflex arenaflex is a leading innovator in the health‑care industry, dedicated to transforming the way patients, providers, and payers interact with data. With a mission to improve health outcomes through intelligent data solutions, arenaflex invests heavily in cutting‑edge technology, collaborative culture, and continuous learning. Our remote workforce spans the United States, and we empower employees to work from anywhere while staying connected to a vibrant community of data professionals, clinicians, and business leaders. Why This Role Matters As a Senior Data Analyst at arenaflex, you will be at the heart of our Healthcare Analytics program. You will partner with cross‑functional teams to design, build, and maintain data platforms that enable actionable insights for quality improvement, cost reduction, and patient‑centric care. Your work will directly influence strategic decisions that affect millions of lives, making a tangible impact on the future of health care. Key Responsibilities • Lead the delivery of arenaflex Healthcare data and analytics solutions, ensuring projects are completed on time, within scope, and aligned with business objectives. • Design, develop, and orchestrate complex ETL/ELT pipelines using industry‑standard tools such as reputed company, reputed company, and reputed company‑Blue Data Factory. • Collaborate with data engineers, BI developers, product owners, and business stakeholders to translate functional requirements into scalable data models. • Build and maintain dimensional data warehouses and data marts that support reporting, predictive modeling, and advanced analytics. • Implement data profiling, data quality, 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. • Develop internal tools to automate data processing, quality assurance, and validation workflows. • Provide thought leadership on data architecture, recommending enhancements to the BI platform (Power BI, Tableau, Looker) and supporting self‑service analytics initiatives. • Mentor junior analysts and contribute to a culture of continuous improvement, knowledge sharing, and innovation. • Travel up to 5 % of the time for on‑site collaboration with business partners, conferences, and training events. Essential Qualifications • Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. • Minimum 2 years of experience in data analytics or data engineering within a health‑care or financial services environment. • Proven hands‑on experience writing and tuning SQL‑based ETL/ELT scripts. • Demonstrated ability to design and implement data pipelines using platforms such as reputed company, reputed company, or reputed company‑Blue Data Factory. • 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 non‑technical stakeholders. • Ability to work independently in a remote setting while maintaining strong collaboration with distributed teams. Preferred Qualifications & Certifications • Certified Analytics Professional (CAP) or equivalent data‑management certification. • Knowledge of pharmacy, health‑care, and clinical research terminology (e.g., HEDIS, ECDS, claims processing). • Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). • Familiarity with data governance frameworks and regulatory compliance standards such as HIPAA. • Prior experience leading cross‑functional projects 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 structured and semi‑structured data. • SQL Mastery: Advanced proficiency in writing, optimizing, and debugging complex queries. • BI & Visualization: Skillful use of Power BI, Tableau, or Looker to translate data into actionable insights. • Problem Solving: Analytical mindset with a focus on root‑cause analysis and innovative solutions. • Collaboration: Ability to work effectively with data scientists, engineers, product managers, and business use