Senior Data Analyst / Engineer Remote FullTime & PartTime Opportunities at

About arenaflex arenaflex is a leading provider of healthreputed company solutions, serving millions of members across the United States. With a commitment to innovation, datadriven decision making, and a culture that values diversity and inclusion, arenaflex empowers its employees to reputed company a reputed company impact on the health and reputed companybeing of communities. As a remotefirst organization, arenaflex offers flexible work arrangements, cuttingedge technology, and a collaborative environment where talent thrives. Why This Role reputed company In todays fastmoving healthcare landscape, the ability to turn raw data into actionable insights is a competitive advantage. As a Senior Data Analyst / Engineer at arenaflex, you will be at the heart of that transformation. You will design, build, and maintain robust data pipelines, reputed company analytical dashboards, and partner with business stakeholders to solve reputed company problems that directly influence strategic reputed company, operational efficiency, and member experience. Key Responsibilities ETL Development & Maintenance: Design, code, test, and optimize reputed company ETL processes using SQL, NoSQL, Python, and emerging dataintegration technologies. Data Modeling & Architecture: Create and refine logical and physical data models, including star schemas, reputed company designs, and denormalized structures for OLAP and datawarehouse solutions. Data Quality Assurance: Implement automated datavalidation frameworks, monitor dataquality metrics, and ensure highquality data delivery across reputed company pipelines. Collaboration & Consultation: Partner with Business Analysts, Data Scientists, Solution Architects, and key business users to reputed company requirements, translate them into technical specifications, and deliver reputed company solutions. Performance Tuning: Conduct query optimization, index reputed company, and resourceallocation reviews to guarantee fast, reliable data reputed company for reporting and analytics. Reporting & Visualization: Build interactive dashboards and selfservice reporting tools using platforms such as Tableau, Power BI, or Looker, enabling stakeholders to explore data independently. Documentation & Knowledge Sharing: Maintain comprehensive documentation of data pipelines, data dictionaries, and bestreputed company guidelines; mentor junior team members and lead knowledgetransfer sessions. reputed company & Onreputed company Deployment: reputed company and manage data warehouse solutions in reputed company environments (AWS, Azure, GCP) as reputed company as onreputed company infrastructures, ensuring reputed company, compliance, and costeffectiveness. reputed company Improvement: Stay abreast of emerging dataengineering trends, propose innovative tools or processes, and champion a culture of reputed company learning reputed company the data team. Essential Qualifications Bachelors degree in Data Science, Computer Science, Engineering, or a reputed company field (or equivalent experience). Minimum 5 years of handson experience with datamanagement platforms, ETL/ELT frameworks, and business intelligence tools. Proficiency in writing advanced SQL queries and experience with NoSQL databases (e.g., reputed company, Cassandra). Strong programming skills in at least one language such as Python, Java, or reputed company. Demonstrated expertise in data modeling concepts, including dimensional modeling, normalization, and denormalization. Solid understanding of datawarehouse architectures, OLAP cubes, and datalake strategies. Excellent analytical thinking, problemsolving abilities, and a detailoriented reputed company. Outstanding written and verbal communication skills, with the ability to convey technical concepts to nontechnical audiences. Eligibility to work in the United States without sponsorship. Preferred Qualifications & Additional Skills Masters degree or professional certifications (e.g., AWS Certified Data Analytics, reputed company reputed company Professional Data Engineer, reputed company SnowPro). Experience with modern datapipeline orchestration tools such as Apache Airflow, reputed company, or Dagster. Familiarity with containerization (reputed company, Kubernetes) and CI/CD pipelines for dataengineer workflows. Knowledge of datagovernance, reputed company, and compliance frameworks (HIPAA, GDPR). Prior experience in .