Senior Data Analyst — Healthcare Data Analytics Project (вакансія неактивна)

GreenM is a team of Data Engineering and Software Development experts dedicated to helping healthcare organizations efficiently manage their data and digital solutions.

We specialize in building scalable data platforms, developing AI-driven solutions, optimizing business processes, and creating software products that enhance operational efficiency and drive business growth for healthcare companies in the US and the UK.
Now we are looking for two skilled Senior Data Analysts to join our team and contribute to a transformative healthcare analytics project.

The project aims to build a robust data analytics and infrastructure hub for lactation consultations within the healthcare domain.
The key objective is to enhance a patient portal and construct a scalable Data Warehouse while transitioning to microservices.

Why should you Join Us?
Work on a meaningful project improving healthcare analytics;
Engage in full-time, long-term work with a mixed team (40% client-side, 60% our side);
Close cooperation with a team of professionals with diverse experience and mentality;
Opportunity for professional growth as the project expands in 2025 and beyond;
Direct collaboration with the client, ensuring transparent communication and impact.

Key Responsibilities:
Extract, clean, transform, and analyze large datasets from multiple sources.
Develop and maintain marketing data reports and visual dashboards.
Perform data validation, modeling, and reporting using SQL, Python, and visualization tools.
Collaborate with stakeholders and data engineers to translate business needs into actionable insights.
Work with Azure-based cloud infrastructure to manage data workflows and pipelines.
Document data mappings, models, and transformation processes.
Present findings and insights to both technical and non-technical audiences.
**Data Security & Management
Adhere to data governance and security policies.
Ensure compliance with HIPAA, GDPR, and internal security protocols throughout development.
Assist in implementing access controls and encryption mechanisms for secure data handling.

Required Qualifications:
4+ years of experience as a Data Analyst working with structured and unstructured datasets;
Strong expertise in SQL (any flavor) for querying and data manipulation;
Proficiency in Python (or R) for data analysis and processing;
Experience with Power BI, Tableau, or similar visualization tools for dashboards and reports;
Hands-on experience in data cleaning, transformation, and ETL workflows;
Familiarity with Azure (Data Factory), AWS, Google Cloud, or Oracle data ecosystems;
Understanding of marketing analytics and reporting;
Strong problem-solving skills with a keen analytical mindset;
Ability to work (as close as possible) in USA Central Time Zone alignment for communication with the client;
English level: Upper-Intermediate or higher (direct client communication required)

Nice to Have|Will be a big plus:
Experience with Databricks, Alation, Apache Spark;
Knowledge of Airflow, Odexter, or Airbyte for ETL processes;
Exposure to SaaS-based analytical solutions;
Familiarity with NoSQL databases such as MongoDB or Postgres.

Soft Skills
*Analytical and Critical Thinking:
The ability to deeply analyze data, identify patterns, and draw well-founded conclusions is the foundation of a data analyst’s work.
*Communication Skills:
The capability to clearly and effectively convey complex information to both technical and non-technical team members. This includes preparing reports, creating presentations, and actively participating in meetings.
*Collaboration and Teamwork:
Effective interaction with colleagues, including healthcare professionals, IT specialists, and managers, to achieve shared project goals.
*Attention to Detail:
Accuracy in handling data is crucial, especially in the healthcare sector, where errors can have serious consequences.
*Ethics and Responsibility:
Adherence to ethical standards when working with confidential patient information, ensuring data privacy and security.
*Adaptability and Flexibility:
The ability to quickly adapt to changes, learn new tools, and implement methodologies in the constantly evolving healthcare industry.
*Problem-Solving Skills:
The capacity to identify issues, develop solutions, and implement data-driven strategies effectively.

Selection Process:
Initial Screening: 1,5-hour call with GreenM (Talent Acquisition + Lead Data Engineer).
Short Voice Recording: A 2 — 3-minute structured response in English to evaluate communication skills.
Final Interview with the Client: 30-40 minutes.

What We Offer:
Remote-first approach with flexible working conditions (completely remotely or with an office visit, as you wish);
20 vacation days, including Ukrainian public holidays;
Unlimited sick leave (no need for a doctor’s note, we work on trust);
Paid sabbatical after 5 years with the company;
Professional development (courses, books, conferences);
Access to legal, accounting, and business consulting support;
A culture of trust, innovation, and collaboration with a strong professional team.

If you are passionate about data analytics and want to contribute to a meaningful health-tech project, we’d love to hear from you!
Apply now!