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About careerzynith – Pioneering Health‑Focused Innovation
careerzynith is a leading name in the health‑care and pharmacy sector, delivering cutting‑edge services that improve the lives of millions every day. With a legacy of more than a century in the industry, careerzynith combines deep domain expertise with modern technology to create a seamless experience for patients, providers, and partners alike. As part of its careerzynith At Home Careers initiative, the company is expanding its remote workforce to include highly skilled analytics professionals who can drive data‑centric decision making from anywhere in the United States.
Why This Role Matters
In today’s data‑driven world, the ability to transform raw information into actionable insights is a competitive advantage. As a Senior Analytics Engineer on the careerzynith Health Analytics team, you will be at the heart of the organization’s Quality Improvement program, enabling data‑powered reporting, analytics, and strategic initiatives that directly impact patient outcomes and operational efficiency. This is a unique opportunity to blend data engineering expertise with a mission‑focused environment, all while enjoying the flexibility of a remote, part‑time schedule.
Key Responsibilities
- Lead the design, development, and maintenance of robust data pipelines that feed critical reporting and analytics solutions for careerzynith Health.
- Collaborate with cross‑functional teams—including data scientists, BI engineers, product owners, and business stakeholders—to translate business requirements into scalable data architectures.
- Implement and optimize ETL/ELT processes using industry‑leading platforms such as Azure Data Factory, Databricks, Snowflake, and other cloud‑based data services.
- Develop and manage data models, data marts, and analytical tables that support both operational reporting and advanced analytics use cases.
- Apply best practices for data ingestion, transformation, and storage to ensure data quality, consistency, and compliance with regulatory standards.
- Perform data profiling and data quality assessments across internal systems, external data feeds, and third‑party health data sets (e.g., pharmacy claims, clinical encounters, HEDIS metrics).
- Create and maintain internal tools that automate data validation, quality assurance, and data governance processes.
- Support the development of self‑service BI dashboards using Power BI, Tableau, Looker, or similar visualization platforms, enabling business users to explore data independently.
- Mentor junior data engineers and contribute to a culture of continuous learning and technical excellence within the analytics community.
- Travel up to 5% of the time for on‑site collaboration, training sessions, or industry conferences, as required.
Essential Qualifications
- Education: Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field.
- Experience: Minimum of 2 years of hands‑on experience building and maintaining data pipelines in a production environment.
- Technical Skills: Proficiency in SQL, Python, or Scala for data manipulation; demonstrated ability to write performant ETL/ELT scripts.
- Platform Knowledge: Experience with cloud data platforms such as Azure, AWS, or Google Cloud, and familiarity with Snowflake, Databricks, or similar data warehouse solutions.
- BI & Visualization: Ability to design and implement data models that support BI tools like Power BI, Tableau, or Looker, and to translate technical concepts into business‑friendly language.
- Communication: Strong verbal and written communication skills, with a proven track record of collaborating effectively with technical and non‑technical stakeholders.
- Industry Exposure: At least 2 years of experience contributing to data‑driven solutions within the health‑care, pharmacy, or related financial services domains.
Preferred Qualifications & Skills
- Certified Analytics Professional (CAP) or similar data‑management certification.
- Deep understanding of pharmacy, health‑care, and clinical analytics concepts, including familiarity with HEDIS, ECDS, and other industry standards.
- Experience with data governance frameworks, data lineage tools, and metadata management solutions.
- Knowledge of machine learning pipelines and the ability to support data scientists in model training and deployment.
- Prior experience in a remote or distributed work environment, demonstrating self‑discipline and effective time management.
Core Competencies for Success
- Analytical Mindset: Ability to dissect complex data problems, identify root causes, and propose scalable solutions.
- Problem‑Solving: Proactive approach to troubleshooting data issues, optimizing performance, and ensuring reliability of data assets.
- Collaboration: Comfortable working within multidisciplinary teams, fostering trust, and driving consensus across diverse perspectives.
- Adaptability: Thrive in a fast‑changing environment, quickly learning new technologies and adjusting to evolving business priorities.
- Attention to Detail: Commitment to data integrity, accuracy, and compliance with privacy regulations such as HIPAA.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a Senior Analytics Engineer, you will have access to:
- Continuous learning budgets for certifications, conferences, and online courses.
- Mentorship programs that pair you with senior leaders in data science, architecture, and product management.
- Opportunities to lead high‑impact projects that shape the future of health‑care analytics at careerzynith.
- Cross‑functional exposure to product development, clinical operations, and strategic planning, broadening your expertise beyond pure data engineering.
Work Environment & Culture at careerzynith
careerzynith fosters an inclusive, collaborative, and innovative culture where every voice matters. Remote employees are fully integrated into the company’s vibrant community through regular virtual town halls, team‑building activities, and knowledge‑sharing sessions. The organization values work‑life balance, offering flexible scheduling, generous paid time off, and a supportive environment that encourages personal well‑being.
Compensation, Perks & Benefits
- Competitive Pay: $30 per hour, commensurate with experience and expertise.
- Flexible Hours: Part‑time schedule with the ability to adjust work hours to fit personal commitments.
- Remote Work: Fully remote position with a stipend for home office setup.
- Health & Wellness: Comprehensive medical, dental, and vision coverage, along with mental‑health resources.
- Retirement Savings: 401(k) plan with company matching contributions.
- Learning & Development: Access to a library of courses, certifications, and internal training programs.
- Employee Assistance Programs: Support for personal and professional challenges, including counseling and financial advice.
- Community Impact: Opportunities to volunteer and contribute to careerzynith’s philanthropic initiatives focused on health equity.
How to Apply
If you are passionate about turning data into meaningful health‑care insights and thrive in a remote, collaborative environment, we want to hear from you. Join careerzynith’s mission‑driven team and help shape the future of health analytics.
Equal Opportunity Employer
careerzynith is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, disability, sexual orientation, or veteran status.
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