Data Analyst(for Japan & Korea)
Ingka External · Shanghai, Shanghai, China ·
- Category
- Data analytics
WHAT YOU'LL NEED TO HAVE
• Good knowledge of data mining techniques, modern visualization software, or relevant domain datasets and tools for analyzing them
• Broad knowledge of data preprocessing techniques, e.g. how to handle missing data
• Broad understanding of how to leverage large datasets to improve decision-making in a business setting
• Broad experience in using SQL and the role it plays in data analysis as well as
knowledge on relevant scripting languages (such as python) in notebook
environments for sharing findings and code with others
• Good knowledge of probability and statistics, including hypothesis testing using controlled experiments (e.g. A/B testing)
• Basic understanding of collaborative software engineering practices (Agile, DevOps), in which solutions evolve through the effort of self organizing cross-functional teams
• Good knowledge of digital product development principles and the importance of rapid validated learning
cycles to optimize performance long term
• Good knowledge of IKEAs corporate identity, core values and vision of creating a better everyday life for the
many people
YOUR RESPONSIBILITIES
Ensure, promote and take responsibility for informed decision-making based on data in order to improve
business performance.
Conduct advanced data exploration and analysis using modern data mining techniques, visualisation tools,
or a combination thereof, to provide insights that help co-workers and stakeholders make better decisions
Evaluate the potential and usability of pre-processed, structured internal and external data sources for use
in product analytics and data-driven decision-making in general
Write demanding SQL queries that Extract, Transform and Load data from storage to an appropriate
format, using joins, nesting and similar operations as an integral component of data processing pipelines
Ensure that solutions fulfil and adapt to actual business needs by data story telling to continuously generate
value for Ingka by working side by side with co-workers from different functions
ABOUT THIS WORK AREA
Without us our many co-workers and customers wouldn’t have an IKEA to go to. We make sure to secure, build and maintain our physical locations - from stores to offices to factories – to meet the needs of the many people. Together we lead the way in delivering safe, compliant, sustainable, and innovative solutions for every property. And we feel a great sense of pride in seeing everything working smoothly!
• Good knowledge of data mining techniques, modern visualization software, or relevant domain datasets and tools for analyzing them
• Broad knowledge of data preprocessing techniques, e.g. how to handle missing data
• Broad understanding of how to leverage large datasets to improve decision-making in a business setting
• Broad experience in using SQL and the role it plays in data analysis as well as
knowledge on relevant scripting languages (such as python) in notebook
environments for sharing findings and code with others
• Good knowledge of probability and statistics, including hypothesis testing using controlled experiments (e.g. A/B testing)
• Basic understanding of collaborative software engineering practices (Agile, DevOps), in which solutions evolve through the effort of self organizing cross-functional teams
• Good knowledge of digital product development principles and the importance of rapid validated learning
cycles to optimize performance long term
• Good knowledge of IKEAs corporate identity, core values and vision of creating a better everyday life for the
many people
YOUR RESPONSIBILITIES
Ensure, promote and take responsibility for informed decision-making based on data in order to improve
business performance.
Conduct advanced data exploration and analysis using modern data mining techniques, visualisation tools,
or a combination thereof, to provide insights that help co-workers and stakeholders make better decisions
Evaluate the potential and usability of pre-processed, structured internal and external data sources for use
in product analytics and data-driven decision-making in general
Write demanding SQL queries that Extract, Transform and Load data from storage to an appropriate
format, using joins, nesting and similar operations as an integral component of data processing pipelines
Ensure that solutions fulfil and adapt to actual business needs by data story telling to continuously generate
value for Ingka by working side by side with co-workers from different functions
ABOUT THIS WORK AREA
Without us our many co-workers and customers wouldn’t have an IKEA to go to. We make sure to secure, build and maintain our physical locations - from stores to offices to factories – to meet the needs of the many people. Together we lead the way in delivering safe, compliant, sustainable, and innovative solutions for every property. And we feel a great sense of pride in seeing everything working smoothly!