Knowledge of cleaning data and how to deal with imperfections in data, including defining corrective actions to improve quality if needed.
Knowledge of how to leverage large data sets in answering business questions.
Knowledge in large datasets and of data set processes for data modelling and data analytics.
Forecasting tools, predictive modeling, analytical programming language such as R, Python.
Mathematical & statistical background to support real data-driven business projects
Sound SQL knowledge
Good interpersonal skills with the ability to collaborate, network and build strong relations with team members and stakeholders.
Good understanding of Ecommerce
Business storytelling and communicating data insights in business consumable format.
Independent problem-solver, including an ability to self-learn new techniques/tools as needed
Good ability to communicate technical concepts and processes clearly at an appropriate level to a wide range of audiences, including team members, stakeholders, and D&A leadership.
Key previous experiences and proven skills
Formal qualifications (BSc, MSc, PhD) in computer science, econometrics, engineering, mathematics, or equivalent
Minimum 5 years of professional experience as a (Junior) Data Analyst or (Junior) Data Scientist
Extensive knowledge of data processing for large datasets
Familiarity with cloud computing environments, Azure, Azure Databricks, GCP
YOUR RESPONSIBILITIES
Leverage data assets by data collection and processing, to provide basis for day-to-day meaningful and actionable strategic and operational insights.
Support colleagues with problem solving for data quality issues from source systems and propose corrective actions for IT system or process improvements to step up data quality and timeliness over time.
Support in collecting and analysing business data to perform industry research and derive answers and insights on business questions, presented and reported through using various reporting tools.
Work to automate data cleaning processes, to be able to deliver insights to the business stakeholders on a periodical basis.
Support data driven decisions on product and strategy by helping to visualize data and enable change through knowledge of the business drivers that make the product successful.
Identify and help share trends and metrics from sources of raw data to increase efficiency of the organisation.
Apply good written and verbal communication skills in storytelling, supported by visualisation of data, primarily focused on stakeholders in advanced analytics.
Support junior colleagues with medium-scale modelling projects, focused on collecting and cleaning data, in processes that are able to adapt to changing attributes.
Work closely with other data analysts and across functions to help produce all required design specifications and ensure that data solutions work together and fulfill business needs.
Work across initiatives within INGKA Group, supporting steering towards data-driven solution.
OUR TEAM WITHIN IKEA
We’re the ones who make it possible for people to have a smarter life at home and a hassle-free and rewarding shopping experience. Together we work to find new digital solutions for every business need to help make IKEA a great and efficient place to work. We like to think of ourselves as innovative and modern, and we believe that nothing would actually work without us.