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About careerzynith – Pioneering Remote Data Excellence in Healthcare
careerzynith is a leading innovator in the healthcare and pharmacy sector, delivering cutting‑edge solutions that improve patient outcomes and streamline operations across the United States. With a commitment to data‑driven decision making, careerzynith empowers its teams to turn complex information into actionable insights that shape the future of health services. As a fully remote‑first organization, careerzynith offers a flexible, collaborative environment where talent can thrive from any location while contributing to a mission that truly matters.
Position Overview – Senior Data Analyst (Remote)
careerzynith is seeking a highly motivated Senior Data Analyst to join its dynamic Data & Analytics team. This role is ideal for an entry‑level professional who has already demonstrated a solid foundation in data engineering, ETL/ELT processes, and business intelligence (BI) reporting. You will work closely with cross‑functional teams—including data scientists, BI engineers, platform architects, and business stakeholders—to design, build, and maintain robust data pipelines that power careerzynith’s Healthcare Quality Improvement program.
Key Responsibilities
- Data Pipeline Development: Design, develop, and orchestrate multi‑layered data sets and pipelines that support analytics and reporting initiatives across careerzynith’s health services.
- ETL/ELT Management: Own long‑term and ad‑hoc ETL/ELT processes, ensuring data quality, reliability, and performance for both operational and analytical workloads.
- Data Modeling & Architecture: Create and maintain logical and physical data models that feed into reporting tables, supporting business intelligence dashboards and predictive analytics.
- Data Integration: Apply best‑practice data extraction, transformation, and loading techniques to integrate large data sets from internal careerzynith production systems and external sources.
- Data Profiling & Validation: Conduct thorough data profiling, cleansing, and validation across internal production platforms, data lakes, and standardized healthcare data collections (e.g., claims, pharmacy transactions, HEDIS, ECDS).
- Automation & Tooling: Build internal tools to automate data handling, quality assurance, and data approval processes, reducing manual effort and increasing reliability.
- Collaboration & Communication: Partner with business analysts, product owners, and external partners to translate business requirements into technical specifications and deliver actionable insights.
- Performance Optimization: Monitor and tune SQL‑based ETL/ELT scripts for efficiency, leveraging platforms such as Azure Data Factory, Databricks, or Snowflake.
- BI Enablement: Support the rollout of BI tools (Power BI, Tableau, Looker) by providing clean, well‑documented data sources and assisting with semantic layer enhancements.
- Travel: Occasionally travel up to 5 % of the time for on‑site meetings, workshops, or industry conferences (domestic travel only).
Essential Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field.
- Minimum of 2 years of hands‑on experience developing and maintaining data pipelines in a financial services or healthcare environment.
- Proven expertise in writing, debugging, and optimizing SQL‑based ETL/ELT scripts.
- Experience with cloud‑based data integration services such as Azure Data Factory, Databricks, or Snowflake.
- Strong understanding of data warehousing concepts, dimensional modeling, and data governance.
- Demonstrated ability to work independently and lead small‑to‑medium scale projects with cross‑functional teams.
- Excellent verbal and written communication skills, with the ability to convey technical concepts to non‑technical stakeholders.
- Willingness to travel up to 5 % of the time for business purposes.
Preferred Qualifications & Certifications
- Certified Data Management Professional (CDMP) or equivalent data‑management certification.
- Knowledge of pharmacy, medical services, or clinical research terminology and data standards.
- Experience with BI platforms such as Power BI, Tableau, or Looker, including semantic layer design.
- Familiarity with data‑quality frameworks and automated testing tools.
- Exposure to healthcare analytics, HEDIS, or claims data processing.
Core Skills & Competencies
- Technical Proficiency: Advanced SQL, ETL/ELT design, data modeling, and cloud data platforms.
- Analytical Mindset: Ability to dissect complex data problems, identify root causes, and propose scalable solutions.
- Collaboration: Strong interpersonal skills for working with data scientists, engineers, product owners, and external partners.
- Problem‑Solving: Proactive approach to troubleshooting data issues and optimizing performance.
- Adaptability: Comfort with a fast‑paced, remote work environment and evolving business priorities.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a Senior Data Analyst, you will have access to:
- Mentorship from senior data architects and industry experts.
- Sponsored certifications (e.g., CDMP, SnowPro, Azure Data Engineer).
- Regular internal hackathons and data‑innovation challenges.
- Opportunities to transition into senior data engineering, data science, or analytics leadership roles.
- Cross‑functional exposure to product management, clinical operations, and strategic planning.
Work Environment & Culture at careerzynith
careerzynith fosters a culture of inclusion, curiosity, and impact. Our remote‑first policy means you can work from anywhere in the United States while staying connected through:
- Weekly virtual town halls and team‑building events.
- Collaborative tools (Microsoft Teams, Slack, Confluence) that keep communication seamless.
- An open‑door leadership style that encourages ideas from every level.
- Diversity, equity, and inclusion initiatives that celebrate varied perspectives.
Compensation, Perks & Benefits
careerzynith offers a competitive total‑reward package that includes:
- Base salary of $75,000 per year, commensurate with experience.
- Performance‑based bonuses and annual salary reviews.
- Comprehensive health, dental, and vision insurance plans.
- Retirement savings options with company matching contributions.
- Generous paid time off, holidays, and sick leave.
- Remote‑work stipend for home office setup, high‑speed internet, and ergonomic equipment.
- Professional development budget for courses, conferences, and certifications.
- Employee assistance program and wellness resources.
Why Join careerzynith?
If you are passionate about turning raw data into strategic assets, thrive in a collaborative remote environment, and want to make a tangible difference in the healthcare industry, careerzynith is the place for you. You will be part of a forward‑thinking team that values innovation, continuous learning, and the impact of every data point on patient care.
Ready to Make an Impact?
Take the next step in your data career and help shape the future of healthcare analytics at careerzynith. Click the link below to submit your application and begin your journey with a company that puts data—and people—first.
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