Data Analyst

Уровень зарплаты
Город
Требуемый опыт работы
з/п не указана
Москва
1–3 года

Here at Bright Box, we are looking for talented, energetic, and committed individuals to join our diverse team. Our employees are the key to our success, and we support each individual in fulfilling his or her potential.

With the number of connected vehicles on the road increasing daily, the amount of data being generated and its significance is also increasing rapidly.
Our Product Team is looking for passionate and versatile Data Analysts to support with the collection and analysis of data from vehicles.

As a Data Analyst on the team, you'll be working on projects that will directly influence corporate strategy and future product development. Versatility, adaptability, and an inquisitive approach to problem solving make for an ideal candidate. In this role, you’ll be on the front-lines of an interdisciplinary team of engineers and data scientists and together, you will use data to shape the future product.

Main Responsibilities:

  • Collaborate directly with stakeholders and subject-matter experts to define use-cases and identify relevant data sources
  • Analyze available data and create reports and dashboards to generate internal business intelligence and enable data-driven decision-making
  • Where applicable, use data visualizations to help demo and explain insights to key stakeholders and management
  • Develop predictive models and new algorithms that can be used in next-generation vehicle features and services

Minimum skills required:

  • Demonstrable programming experience with at least: querying language (SQL), a scripting language (Python, MATLAB), a statistical language (R, SAS, SPSS)
  • Basic knowledge of statistics to a rigorous understanding of Machine Learning. Most consumers of analysis will not look at more than descriptive analysis (means, medians, significance)
  • Excellent critical thinking, problem-solving and analytical skills (possibility to structure and analyze data ad-hoc and in long term periods)
  • Excellent communication skills, and the ability to work effectively with others
  • Fluent English

Preferred qualifications:

  • Automotive experience is a plus

Ключевые навыки

Big DataSQLPythonMATLABSasSPSS

Тип занятости

Полная занятость, полный день
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