Business Data Analyst (Healthcare Domain) | Remote | US Central Time Overlap (вакансія неактивна)

About GreenM & Our Client

GreenM is a team of data and software engineering experts dedicated to helping healthcare organizations manage their data and digital transformation more effectively.

We specialize in building scalable data platforms, developing AI-powered solutions, optimizing business processes, and creating software products that enhance operational efficiency and support business growth for healthcare providers in the US and UK.

We’re currently looking for a skilled Business Data Analyst to join a long-term healthcare data initiative. The project is focused on enhancing the patient portal (as part of building a robust analytics and infrastructure hub for lactation consultations within the healthcare domain), developing a scalable data warehouse, and supporting a strategic transition to a microservices architecture.

As a Business Analyst with a strong understanding of data analytics, you will play a vital role in bridging the gap between business and technical teams. Your key responsibility will be to ensure that business needs are clearly translated into actionable data solutions and well-structured user stories.

You will collaborate closely with stakeholders, data analysts, and data engineers to gather requirements, provide insights, and streamline business processes to support data-driven decision-making in a healthcare context.

🔑 Key Responsibilities

Business & Data Analysis

• Gather, document, and analyze business requirements related to data infrastructure, ETL, and reporting
• Collaborate with stakeholders to define project goals and key success metrics
• Translate business needs into clear, functional specifications for the data team

Data Insights & Reporting

• Support data-driven decision-making through ad-hoc and structured analysis
• Assist in the development of Power BI dashboards and performance reports

Process & Documentation

• Work with engineers to map and document data flows, ETL pipelines, and reporting logic
• Develop and maintain comprehensive business and technical documentation

Stakeholder Communication

• Serve as a communication bridge between business teams, analysts, and data engineers
• Effectively communicate insights, progress, blockers, and updates throughout the delivery cycle

🎓 Must-Have:

• 4+ years of experience as a Business Analyst, with proven involvement in analytical or technically oriented projects
• Strong communication skills in English (Upper-Intermediate+) and the ability to act as a bridge between data and business teams
• Fundamental understanding of data concepts, including KPIs, business metrics, reporting logic, and analytics principles
• Hands-on experience in data analysis, ETL processes, and working with tools like Power BI, SQL Server
• Proficiency in documenting business and technical requirements, including data flow diagrams, API documentation, and user stories
• Experience translating business needs and feedback into structured artifacts (user stories, acceptance criteria, backlog items)
• Solid experience in functional documentation and active participation in grooming sessions, sprint planning, and cross-functional discussions
• Prior experience working in cross-functional teams (Data Engineers, Analysts, QA, Product Managers)
• Strong soft skills: analytical thinking, problem-solving, attention to detail, adaptability, and a results-driven approach

💡 Nice to Have:

• Experience in healthcare or other regulated industries
• Familiarity with ETL tools (Airflow, Odexter, Airbyte) and scripting languages (Python, JavaScript/Node.js, D3.js)

👨‍💻 Team & Tech Stack
Team Composition:
Client (USA) / Ukraine-based team (3 DE, 2 DA).
Tech Stack:
Cloud Services: Azure (Azure Data Factory), minimal AWS usage.
ETL Tools: Airflow/Dagster, Odexter, Airbyte, API integrations | Python, JS/Node/D3.
Database: SQL Server.
Reporting Tools: Power BI.
QA: Handled by the client.

📅 Workload & Time Zone
Full-time engagement required.
Working in a time zone that aligns closely with the US Central Time Zone is highly preferred.
Direct communication with the client is expected.

📌 Interview Process
1️⃣ Initial Screening (GreenM team: 1-1.5 hour TA screening & 45 minutes interview with the Delivery Lead).
2️⃣ Short Voice Recording (2-3 minutes in English, structured answers to predefined questions).
3️⃣ Final Interview with the Client (30-45 minutes).

🚀 What We Offer
Remote-first approach with flexible working conditions (fully remote).
20 vacation days, including Ukrainian public holidays.
Unlimited sick leave (no doctor’s note required—we work on trust).
Paid sabbatical after 5 years with the company.
Professional development support (courses, books, conferences).
Access to legal, accounting, and business consulting services.
A culture of trust, innovation, and collaboration within a highly professional team.

🎯If you are passionate about data analytics and eager to contribute to a high-impact healthcare project, we’d love to hear from you!
📩 Apply now!