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Business Intelligence Specialist - Remote

Posted 86 weeks ago
Data Analysis
Full Time
Germany

Overview

The Business Intelligence Specialist is responsible for data preparation and analysis, working with various departments to implement data extraction scenarios and visualize data from multiple sources.

In Short

  • Prepare and analyze data for various business needs.
  • Work with IT to implement data extraction scenarios.
  • Connect and prepare various data sources for visualization.
  • Strong knowledge of Microsoft BI-Stack is preferred.
  • Experience with cloud technologies is a plus.
  • Flexible working hours and locations.
  • Opportunity for home office.
  • Company laptop and mobile phone provided.
  • Flat hierarchies and a good working climate.
  • Engagement with a diverse range of clients.

Requirements

  • Degree in Computer Science or Business Informatics.
  • Experience and certifications in ETL/Business Intelligence.
  • Familiarity with MS SQL-Server (SSIS/SSAS/SSRS).
  • Experience with ETL processes.
  • Knowledge of Power BI and related technologies.
  • Understanding of Modern Data Warehousing.
  • Nice to have skills in Power Apps, Power Automate, Snowflake, Data Vault, Python, and R.

Benefits

  • Flexible working hours.
  • Flexible work locations.
  • Home office possibility.
  • Company laptop.
  • Company mobile with flat rates.
  • Job bike.
  • Flat hierarchies.
  • Very good working atmosphere.

Bitac

Bitac

Bitac, founded in 2014, specializes in Business Intelligence solutions within the Microsoft ecosystem, aiming to bring structure to data for its clients. The company supports renowned businesses across various industries, prioritizing customer satisfaction with the developed solutions. Bitac emphasizes strong interpersonal relationships, fostering a positive work environment where employees are encouraged to thrive and remain long-term. The team is dedicated to data preparation and analysis, collaborating with different departments to implement data extraction scenarios and visualize data effectively.

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