Работа Junior Data Scientist
91 нови обяви за работа
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Какво е това?
Това е изчисление на Yox за приблизителната работна заплата за тази позиция. Посочената стойност не е потвърдена от работодателя и може да се различава с реалната стойност на предлаганото възнаграждение.
Как се смята?
Изчислена Заплата е приблизителната стойност на възнаграждение за конкретната позиция на базата на данни от стотици хиляди обявени заплати по професия за последните 2 години. В Yox се предоставя и информация за заплатите от служители, която също е част от изчислението.
Защо тази информация е полезна?
Можеш да разбереш приблизителната заплата за тази позиция. Можеш и да филтрираш списъкът с обявите за работа по размер на работната заплата.
Пълно описание
At Tradu, we believe that talent knows no borders. We are a team of 650+ multilingual people around the globe. Our commitment to diversity, inclusion, and innovation extends across continents, creating a dynamic blend of skills and experiences that drives our success.
This role would require from the candidate to get comfortable in both technical and business ways with Tradu data to an extent where s/he becomes a data expert and adviser for various ongoing and future projects, as well as is able to initiate new projects and make them a reality. The BI Analyst will also become a go-to person for a variety of business requests and will be expected to come up with the new initiatives for automation and reporting processes improvements.
Primary responsibilities (not limited to)
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
- Define and lead business improvement projects
- Liaise with business heads and other management on reporting optimizations and process improvement initiatives
- Consult management on data and analyzes associated with business goals, KPIs and benchmarks
- Validate, manipulate, and perform exploratory data analysis on datasets
- Review, refine and document business requirements and processes
- Drive efficiency by designing and delivering tool enhancement and automation
- Analyze and test new data sources for availability and quality, and integrate with internal sources
- Closely work with the rest of the Data Science and Analytics department: Data Science and Data warehouse teams
- Share knowledge and expertise with other team members to enable continued team skills development
Requirements
Required:
- Superset, Tableau, SQL programming, Data Processing / Data Analysis / Data Mining / Data Manipulation / Data Extraction experience;
- Strong problem-solving skills with an emphasis on product development;
- Proactiveness;
- Strong interest to dig into big data and create meaningful insights that will drive business decisions;
- Excellent written and verbal communication and documentation skills;
- A team player who is detail-oriented with a high level of organizational skills and the ability to maintain confidentiality, multi-task, determine priorities and meet deadlines on time in a fast-paced business environment;
- A self-starter with the ability to work with minimal supervision;
- Ability to translate business needs into technical specifications;
- Strong project management, presentation, and organization skills
Preferred but not mandatory:
- Advanced Microsoft Excel Skills – Macros / Automation;
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.;
- Additional programming languages (VBA, Python);
- Some experience querying databases and using statistical computer languages: R, Python
Working Hours: 40/week, Monday–Friday. Hybrid: 3 days in-office.
Contract type: Labor contract with Stratos Support EAD
Please submit your CV in English. Only shortlisted candidates will be contacted for an interview.
Средна заплата за сектора
2,580 лв / месец (изчислена от Yox)
Средна работна заплата за града изчислена от YOX
600 лв / месец
12,600 лв / месец
Мнения и оценки от служители
Анализатор на данни/анализаторка на данни
Анализаторите на данни внасят, проверяват, почистват, преобразуват, валидират, моделират или тълкуват колекции от данни във връзка с бизнес целите на дружеството. Те гарантират, че източниците и хранилищата на данни предоставят съгласувани и надеждни данни. Анализаторите на данни използват различни алгоритми и ИТ инструменти според ситуацията и актуалните данни. Те могат да изготвят доклади под формата на визуализации, например графики, схеми и информационни таблици.
Необходими основни умения
- нормализиране на данни
- използване на техники за обработване на данни
- тълкуване на текущи данни
- установяване на процеси за данни
- извършване на аналитични математически изчисления
- използване на техники за статистически анализ
Необходими основни знания
- информационна структура
- търговско разузнаване
- проучване на данни
- видове документация
- техники за визуално представяне
- извличане на информация
Финален преглед
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