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Senior Data Analyst

Roles & Responsibilities

  • 4+ years of experience as a data analyst or Python developer
  • Solid understanding of statistical analysis and data-driven decision-making
  • Strong Python proficiency for data manipulation, analysis, and automation, including object-oriented programming
  • SQL expertise with complex queries, performance tuning, and relational data modeling

Requirements:

  • Build analytical pipelines and dashboards from idea to product
  • Interact with business stakeholders to explain analysis results
  • Manage middle data analysts
  • Provide ad-hoc research and contribute to the development of the internal analytical platform

Job description

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.

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