Senior Data Analyst
The team of experts providing analytical services to healthcare clients is looking for a great, long-term Senior Data Analyst.
You will join an international team of first-class professionals who are passionate about creating products that improve the quality of medical services.
The company offers exposure to a variety of industries and technologies, room to grow as a professional, time in projects to learn new skills and an opportunity to work with phenomenal coworkers, some of the best people on the planet.
As a Senior Data Analyst you will have to:
- Build analytical pipelines and dashboards from idea to product;
- Interact with business and explain results of your analysis;
- Manage middle data analysts;
- Provide ad-hoc research;
- Help with development of internal analytical platform;
- Be proactive and propose new ideas of analytical services.
Requirements:
- At least 4 years of experience of working as a data analyst/ Python developer;
- Solid understanding of statistical analysis and data-driven decision-making;
- Strong Python proficiency for data manipulation, analysis, and task automation. Beyond basic scripting, the candidate should have a grasp of object-oriented programming, including the ability to write classes, design and build modular, scalable solutions that extend beyond simple function writing;
- SQL expertise, including the ability to write complex queries, optimize performance (indexing, query tuning), and understand schema design, normalization, and relational data models;
- Critical thinking and problem-solving abilities;
- Good communication skills to interact with business and technical teams;
- Excellent data visualization and presentation skills;
- Experience with Google Cloud;
- Experience with deployment of microservices;
- Intermediate+ English (at least written communications);
Also if you have more engineering experience than in data analysis and you know what web frameworks (Restful API, Flask) is, we’d be happy to meet you!
Benefits:
- 2 weeks of paid vacation;
- flexible working hours;
- fully remote job;
- opportunity to work with international team of first-class professionals.
- Locations
- Multiple locations
- Remote status
- Fully Remote
Senior Data Analyst
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