About careerzynith
careerzynith is a forward-thinking organization committed to harnessing the power of data to drive smarter healthcare outcomes. As part of our expanding remote workforce, we are seeking a seasoned analytics professional who thrives on building scalable data ecosystems, automating reporting workflows, and translating complex datasets into actionable business intelligence. If you are passionate about data engineering, cloud-based analytics, and improving healthcare quality through data-driven insights, careerzynith offers a dynamic and flexible environment where your expertise will make a measurable impact.
Position Summary
We are hiring a Senior Analytics Engineer to join careerzynith on a part-time, remote basis. In this role, you will collaborate with internal IT architecture, data engineering, and advanced analytics teams to design, build, and maintain the data infrastructure that powers automated reporting and insight generation across our healthcare quality programs. You will serve as a technical anchor in delivering performance insights, enabling data commercialization, and supporting both long-term and ad-hoc reporting initiatives. The compensation for this role is $30 per hour, and the position is based out of Illinois, USA, with full remote flexibility.
Key Responsibilities
- Lead the execution and delivery of data and insight initiatives across careerzynith’s healthcare analytics portfolio.
- Support both scheduled and ad-hoc ETL (Extract, Transform, Load) and data warehousing activities to meet organizational reporting and analytics demands.
- Design, develop, and deploy layered data models and robust data pipelines that power reporting dashboards, analytical tools, and ad-hoc data exploration environments.
- Establish data modeling and preprocessing standards for populating logical and physical data models tied to report-specific working tables, supporting both enterprise BI and predefined reporting solutions.
- Apply best-in-class data extraction, transformation, and loading practices to integrate large-scale datasets from multiple internal production systems and external third-party sources.
- Conduct thorough data profiling and data analysis across internal production systems, manually maintained datasets, and standardized healthcare data formats (e.g., member eligibility files, medical claims, pharmacy claims, and HEDIS ECDS records).
- Build internal automation tools that streamline development-related workflows, including data processing, quality assurance, and data validation processes.
- Partner with cross-functional stakeholders—including data scientists, BI engineers, system administrators, and end-user analysts—to ensure seamless data delivery and consumption.
- Provide thought leadership on tool-agnostic semantic data layer enhancements related to BI platforms such as Power BI, Tableau, or Looker.
- Maintain clear and proactive communication with technical teams, internal partners, clients, and vendor relationships to align on data strategy and project delivery.
Essential Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related quantitative field.
- Proven, hands-on experience writing and tuning SQL-based ETL/ELT scripts for large-scale data environments.
- Demonstrated experience architecting and delivering logically separated data environments using modern ETL/ELT services such as Azure Data Factory, Databricks, or Snowflake.
- Strong verbal and written communication skills, with the ability to convey complex technical concepts to technical and non-technical audiences alike.
- At least 2 years of experience contributing to financial or operational decision-making in a professional work environment.
- At least 2 years of direct leadership, indirect leadership, or cross-functional team leadership experience.
- Willingness to travel up to 5% of the time for business purposes, including in-state and out-of-state engagements.
Preferred Qualifications
- Industry-recognized credentials such as the Certified Analytics Professional (CAP) or equivalent data management certifications.
- Working knowledge of pharmacy operations, healthcare delivery systems, and clinical research concepts.
- Familiarity with healthcare data standards and regulatory frameworks, including HIPAA, HEDIS, and quality improvement reporting requirements.
- Experience with version control systems, CI/CD pipelines for data workflows, and infrastructure-as-code tooling.
Skills and Competencies for Success
- Technical Mastery: Deep proficiency in SQL, data modeling, and cloud-based data platforms (Azure, Databricks, Snowflake).
- Analytical Thinking: Strong ability to translate raw data into structured insights that drive business decisions.
- Problem Solving: Skilled at identifying data anomalies, diagnosing root causes, and engineering sustainable solutions.
- Collaboration: A team-oriented mindset with a track record of working across departments to deliver complex projects.
- Automation Focus: Passion for streamlining repetitive processes and improving operational efficiency through tooling.
- Adaptability: Comfortable working in a fast-paced, evolving environment where priorities can shift quickly.
Career Growth and Learning Opportunities at careerzynith
At careerzynith, we believe that great people build great systems—and great systems empower great people. As a Senior Analytics Engineer, you will have access to:
- Mentorship from senior data leaders and opportunities to lead high-impact analytics projects.
- Sponsorship for advanced certifications in cloud data engineering, BI platforms, and healthcare analytics.
- Cross-training opportunities in adjacent domains such as machine learning, data governance, and healthcare informatics.
- A clear career pathway toward roles such as Lead Analytics Engineer, Data Engineering Manager, or Principal Data Architect.
- Regular knowledge-sharing sessions, internal tech talks, and access to industry conferences.
Work Environment and Company Culture
careerzynith is built on a foundation of innovation, integrity, and inclusion. Our remote-first culture is designed to give every team member the flexibility to do their best work from anywhere, while staying deeply connected to the mission and to one another. We celebrate diverse perspectives, encourage continuous learning, and foster a collaborative environment where every voice matters. Whether you are contributing from a home office in Illinois or collaborating virtually with teammates across the country, you will be part of a supportive community that values work-life balance, transparent communication, and shared success.
Compensation, Perks, and Benefits
This part-time remote role offers a competitive hourly rate of $30 per hour, with a standard commitment of approximately 8 hours per day. Additional benefits include:
- Flexible remote work arrangements with the ability to design your own schedule within project timelines.
- Paid time off and holiday benefits aligned with part-time employment status.
- Access to careerzynith’s learning and development platform, including online courses, certifications, and technical workshops.
- Performance-based bonuses and eligibility for ongoing contract or full-time conversion opportunities.
- A collaborative, low-politics environment where your contributions are recognized and rewarded.
How to Apply
If you are a data engineering professional with a passion for healthcare analytics, automation, and scalable data infrastructure, careerzynith wants to hear from you. Bring your technical expertise, your leadership mindset, and your commitment to quality—and help us shape the future of data-driven healthcare at careerzynith. Apply today and take the next step in your analytics career with a company that values innovation, flexibility, and impact.