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BS Middle/Senior Data Analyst in SoftServe

Posted more than 30 days ago

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SoftServe

SoftServe

0
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Without experience
Dnipro

Translated by Google

BS Middle/Senior Data Analyst Kyiv, Lviv, Dnipro, Odesa, Vinnytsia, Ivano-Frankivsk, Lutsk, Poltava, Rivne, Ternopil, Uzhhorod, Khmelnytskyi, Chernivtsi ABOUT THE COMPANY SoftServe Business Systems was founded in 2003. Our mission is to lead the digital revolution in the industry. This means creating the best products and services that will help businesses grow and continuously improve. We are a food company and this affects our daily activities. Our team always carefully focuses on the cli

BS Middle/Senior Data Analyst

Kyiv, Lviv, Dnipro, Odesa, Vinnytsia, Ivano-Frankivsk, Lutsk, Poltava, Rivne, Ternopil, Uzhhorod, Khmelnytskyi, Chernivtsi

ABOUT THE COMPANY

SoftServe Business Systems was founded in 2003. Our mission is to lead the digital revolution in the industry. This means creating the best products and services that will help businesses grow and continuously improve.

We are a food company and this affects our daily activities. Our team always carefully focuses on the client's needs, we value business expertise and take every step with special care. Our clients include AB InBev, Unilever, JDE, PepsiCo, Henkel and others.

Anheuser-Busch InBev (AB InBev), the largest beer producer in the world. The client owns more than 630 beer brands (including Budweiser, Stella Artois, Hoegaarden, Beck's, Leffe, Chernihivske) in 150 countries and is believed to cover 28% of the global beer market worldwide. The European headquarters is located in Leuven, Belgium.

REQUIREMENTS

  • Experience with Dataset design, Data Cleansing and Data Aggregation
  • Knowledge of SQL for extraction, transformation tasks and loading (ETL) data Ability to write SQL queries to extract and manipulate data from various sources
  • Ability to find anomalies in data
  • Ability to clearly structure and understand research results
  • li> Understanding of Power BI and hands-on experience with this technology: its ecosystem, advantages and disadvantages, available modules and libraries. Strong knowledge of analytical approaches
  • Understanding of Power Query M and hands-on experience in building complex DAX queries.
  • Experience in implementing Row and Object Level Security
  • English language skills at a level no lower than intermediate strong
  • Skills of cooperation with other team members, data engineers and business analysts
  • Ability to decompose, evaluate efforts and discuss them with the team

Will be an advantage

  • Experience working with Azure ecosystem and/or Data Bricks
  • Skills to work directly with clients (with the support of a team, business analyst and project manager)
  • Willingness to learn new things - both within the framework of the main technology stack and and new related technologies
  • Direct experience in data extraction, transformation and loading processes using Power Query and other ETL tools
  • Knowledge of data integration and cleaning methods
  • Understanding of work in an Agile/Scrum environment

RESPONSIBILITIES

  • Data analysis from various sources
  • Conducting and participating in research
  • Development of various metrics, KPIs for partners
  • Working with reports and analytical dashboards in Power BI
  • Implementation of security levels at the levels of objects and lines
  • Preparation and provision of data for communication with clients and internal stakeholders

Translated by Google

Without experience
Dnipro
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