About careerzynith
careerzynith 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, careerzynith 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 careerzynith, 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 careerzynith 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 Snowflake, Databricks, and Purple‑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 Snowflake, Databricks, or Purple‑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 users.
- Adaptability: Comfort navigating fast‑changing environments and evolving business priorities.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a Senior Data Analyst, you will have access to:
- Mentorship programs with senior leaders in data science and health‑care strategy.
- Tuition reimbursement for advanced degrees or certifications (e.g., CAP, AWS Certified Data Analytics).
- Regular internal workshops on emerging technologies such as machine learning, data mesh, and real‑time analytics.
- Opportunities to lead high‑visibility projects that shape the future of health‑care analytics.
- Cross‑departmental rotations to broaden your expertise in clinical operations, finance, and product development.
Work Environment & Culture at careerzynith
Our remote‑first culture is built on trust, flexibility, and inclusion. We celebrate diversity of thought and background, recognizing that the best ideas emerge when every voice is heard. Key cultural pillars include:
- Innovation: A safe space to experiment, fail fast, and iterate.
- Collaboration: Virtual “watercooler” moments, regular team huddles, and cross‑functional hackathons.
- Well‑Being: Comprehensive mental‑health resources, flexible work hours, and a generous paid‑time‑off policy.
- Recognition: Quarterly awards, peer‑to‑peer shout‑outs, and transparent performance feedback.
Compensation, Perks & Benefits
careerzynith offers a competitive total rewards package that reflects the value you bring to the organization:
- Base salary of $75,000 per year, with performance‑based bonuses.
- Health, dental, and vision insurance plans with low employee contributions.
- 401(k) retirement plan with company match.
- Generous paid parental leave, vacation, and sick days.
- Remote‑work stipend for home office setup, high‑speed internet, and ergonomic accessories.
- Professional development budget, conference attendance, and certification reimbursements.
- Employee assistance program (EAP) and wellness initiatives.
How to Apply
If you are passionate about turning raw data into meaningful health‑care insights and thrive in a collaborative, remote environment, we want to hear from you. Join careerzynith and be part of a mission‑driven team that is reshaping the future of health care.
and start your journey with careerzynith today!