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Data Analyst

Ubicaciones:
Warsaw (Mazowieckie), Poland
Categorías:
Finance
ID de solicitud:
006LBQ

Descripción del trabajo

Schneider Electric's purpose is to empower everyone to make the most of our energy and resources, ensuring Life Is On everywhere, for everyone, at every moment. Along the way, we create and provide equal opportunities for everyone, everywhere. We continuously create an inclusive environment and welcome people from all walks of life. We are empowered to do our best and innovate, while living our unique life and work. Together, we dare to disrupt and turn our bold ideas into reality.

Great people make Schneider Electric a great company.

Join an exciting team and help drive transformation on our digital journey. As a Data Analyst for the Finance Performance Management and Data Operations teams you will design and build innovative solutions to a broad range of data, analytic and application topics. Our Data Analysts are focused on enabling the business to leverage data as a key value driver.

Key responsibilities include:

  • Listen to stakeholders and develop a deep understanding of their needs and priorities
  • Research and identify data and analytical business needs and determine possible solutions
  • Automate data sets for analytical, reporting or analytical consumption
  • Design, build and operate robust and scalable dashboards and visualizations
  • Perform light statistical analysis and machine learning
  • Conduct data discovery, profiling, analyze data lineage and determine schema
  • Model data in normalized, denormalized and graph structures
  • Support data migrations in systems transformations
  • Tenaciously solve problems and make decisions under uncertainty
  • Actively contribute to team ceremonies including: sprint planning, daily stand-up, sprint review and retrospectives
  • Demonstrate a strong ownership in understanding business needs and driving business valued outcome

Qualifications

Required qualifications:

  • University degree in a quantitative concentration: Computer Science, Engineering, Mathematics, Economics or equivalent
  • 2+ years of hands on experience designing, building and operating dashboards and visualizations in Tableau or equivalent
  • 2+ years of hands on experience working with databases and writing SQL queries
  • 2+ years effectively communicating complex topics with non-technical users
  • 2+ years applying statistical analysis
  • 2+ years of experience modelling data in normalized, denormalized and graph structures
  • Excellent proficiency with Microsoft Excel
  • Intermediate proficiency with Python and SQL
  • Passionate about learning everyday
  • Fluent in English

Preferred qualifications:

  • Experience with AWS
  • Experience with Databricks
  • Experience wrangling data in Python leveraging Pandas, PySpark and SQL Alchemy
  • Experience with cloud based data warehouses (Redshift, Snowflake)

Schedule: Full-time
Req: 006LBQ
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