Работа Master Data Specialist
95 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
What you’ll do as a Master Data Specialist?
Master data governance:
- Central product setup, including searchable attributes, and maintenance
- Vendor setup, maintenance, and governance
- Setup and maintain commodity code in SAP and product hierarchy cross reference according to Tax requirements.
- Maintaining the master data cross-ref between the systems and assuring data coherence between the systems
- Quality control and cleansing of master data
- Support the countries according to SLA (Service Level Agreement) with the product and vendor creation and maintenance process, assuring quality of the data
Data Quality Analysis:
- Analyzing and auditing item creation and item change requests
- Identifying data mismatches and continuously striving for improving processes
- Execution of data checks to ensure data completeness, accuracy, and global data integrity.
- Understanding subsequent systems, reports, outlets for all master data fields
- Contributing ideas and actions towards continuous improvement of processes within master data areas
- Generating ad hoc reports and regular datasets or report information for end-users using system tools and database or data warehouse queries and scripts.
What you’ll bring?
- Good understanding and usage of MS Excel
- IT literacy and good understanding of data structures
- Fluency in English
- Good verbal and written communication skills
- Previous experience of working with data
- Analytical and pro-active mindset
What we have for you:
- Competitive salary & Bonus system? – Yes, of course!
- Additional health insurance & life insurance? – A very good one, by the way.
- Food vouchers & Transport Allowance? – Absolutely!
- Well-being Program & Multisport card? – We care about our health, so yes!
- Referral and baby bonus? – No doubt about it.
- Paid holiday days increasing in time? – Of course.
- Company discounts, that are actually usable? – You bet!
- Language courses? – Just choose one of five languages.
- Free access to LinkedIn Learning Platform? – Yes, yes, yes.
- Many trainings and academies, including opportunity for ACCA certification? – Obviously.
- Great career growth and development opportunities? – Let’s see… Yes!
- Hybrid type of work? – Absolutely!
- Recognition awards? – Of course.
- Trending social media accounts (TikTok, Instagram, Facebook etc.)? – go and check for yourself
- Modern office space with free coffee and hot beverages? – And the coffee is actually good!
Interested? We thought so – apply now.
Социални Придобивки
- health_and_safety iconДопълнително Здравно Осигуряване
- card_giftcardВаучери за Храна
- shopping_cartОтстъпки/Намаления в Търговски Обекти
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- schoolБезплатни Обучения/Курсове
- loyaltyПодаръци
Средна заплата за сектора
4,790 лв / месец (изчислена от Yox)
Средна работна заплата за града изчислена от YOX
500 лв / месец
13,500 лв / месец
Мнения и оценки от служители
Изследовател на данни/изследователка на данни
Изследователите на данни намират и тълкуват богати източници на данни, управляват големи количества данни, обединяват източници на данни, осигуряват съгласуваност на наборите от данни и създават визуализации за подпомагане на разбирането на данните. Те изграждат математически модели като използват данни, представят и съобщават констатациите и откритията за данни на специалисти и учени от техния екип и, ако е необходимо, на неспециализирана аудитория, и препоръчват начини за прилагане на данните.
Необходими основни умения
- съставяне на научни или академични документи и техническа документация
- нормализиране на данни
- управляване на изследователски данни
- използване на техники за обработване на данни
- тълкуване на текущи данни
- взаимодейства професионално в научноизследователска и професионална среда
Необходими основни знания
- проучване на данни
- техники за визуално представяне
- извличане на информация
- статистика
- категоризиране на информация
- език за описание на търсене на мрежови ресурси
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