Senior Data Analyst

23 Сентября

Партнерские Вакансии

Компания "ТРТ"

We are seeking a talented and motivated Senior Data Analyst to join the company’s team and contribute to the development of innovative solutions that enhance patient care and medical research.

The company creates the world’s most used medical products and optimization software for small businesses and enterprises in the medical field. The company is a cutting-edge technology company at the forefront of healthcare innovation. They’re dedicated to harnessing the power of machine learning and data analysis to improve patient outcomes and healthcare processes.

You will join an international team of first-class professionals who are passionate about creating products that improve the quality of medical services.

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 junior and 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;

• Strong Python knowledge, including data manipulation, analysis, and automation;

• Expertise in Structured Query Language (SQL) for complex data querying and manipulation;

• Good communication skills;

• Critical thinking;

• Excellent visualization and presentation skills;

• Experience with Google Cloud, with a preference for familiarity with BigQuery or Spanner;

• Experience with deployment of micro services;

• Intermediate+ English (at least written communications).

Preferred Experience:

• Familiarity with RESTful APIs, particularly experience with FastAPI;

• Knowledge of Jinja templating language for creating dynamic SQL scripts and reports;

• Experience with DBT (Data Build Tool) for data transformation and modeling within the analytics stack.

Benefits:

• flexible working hours;

• fully remote job;

• opportunity to work with international team of first-class professionals.