Data Analyst

☑ Основной блок:

Опыт работы: не требуется.

Тип занятости: полная занятость.

График работы: полный день.

Зарплата: по результату собеседования.

Место работы (точный адрес): Россия, Москва, улица Можайский Вал, 8Б.

☑ Актуальность объявления:

Это объявление № 22580028 добавлено в базу данных: Воскресенье, 2 марта 2025 года.

Дата его обновления на этом интернет-ресурсе: Понедельник, 17 марта 2025 года.

☑ Репутация компании "ООО Метриселл СиАйЭс":

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☑ Подробности о вакантном месте:

Data Analyst – Moscow – Salary RUR plus performance related bonus * Permanent Fulltime – 40 hours per week or Part time 20 hours

About Company

Metricell is a leader in geospatial intelligence tools that answer key questions about the business. Our mission is to help governments, enterprises, and mobile operators to create a better-connected world.

We have been responsible for a number of first-to-market products, and our technology is characterised by the relentless pursuit of automation and digitalisation. We are pioneers in the areas of Crowdsourcing and Digital Self Care.

We are immensely proud to have been awarded the 2021 Queen's Award for Enterprise. This award is a recognition of how our technology is helping customers around the world to measure and monitor network performance.

Our HQ in the UK and regional offices around the world are composed of a talented range of professionals working across software engineering, data science, sales, marketing, finance, project management, IT, and consulting. We hire across all ages, experience levels and backgrounds. The company’s culture is characterised by its passion for new technology and ‘can do’ attitude.

Job Description

Customer insights and data driven decisions are crucial aspects of maintaining and marketing the position of our clients in the market. Our digital customer care and crowdsourcing capabilities are helping to create new avenues of communication to provide faster more accurate information and an unrivalled view of wireless service experience across a territory.

We are looking for an analyst to expand our data team in Moscow office. Successful candidates will turn data into useful insights for our existing clients in Russia and globe or for product development purposes. We expect that you are keen on data, self-efficient in doing your job and strive to learning.

You will have a deal with Spark SQL on Zeppelin, Python, MS SQL, Excel and Power BI and we would welcome of bringing anything new from you to company toolbox. If you want to grow as a data scientist, we will give you a support, but the focus on the descriptive and diagnostics analysis. Remote work is allowed provided regular office attendance for face-to-face meetings.

Responsibilities

• Conduct full lifecycle of analysis task including requirements, data source exploration and cleaning, model creation, validation, visualisation, and results interpretation on tabular and geo-spatial data
• Find trends and patterns, answer questions, and draw conclusions
• Handle and query large-scale data sets through Big Data tools
• Bespoke data analysis upon the request of company managers and customers
• Write stating trends and patterns reports and presentations with state-of-the-art data visualisation
• Build Power BI dashboards for company needs and assign numerical values to watch
• Experiment with predictive and prescriptive analysis using ML libraries
• Dig data in different source to diagnose the problems to help support team when needed
• Communicate with managers and engineers to improve data analysis technics and tools
• Propagate data-driven culture within the company

Requirements

• At least Bachelor’s degree in math, economic or computer science
• Analytical and system thinking, passion to research
• Knowledge of telecoms and mobile networks subject matter or interest to learn
• General understanding of math statistics including hypothesis testing, confidence level etc.
• Wide range of data analysis technics
• SQL, Python (pandas) – must have
• Data Visualisation tools and libraries
• Machine Learning, Deep Learning technics or desire to study them
• High-level of written skill to make interesting reports for global customers
• Fluent oral English and Russian.

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