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接客

Data Analyst

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  • Bangalore, Karnataka, India
  • ビジネス& コンシューマー インサイト & アナリティックス
  • フルタイム

職務記述書

  • 求人ID: 338965

  • 掲載日: 14/04/2026

    • A day in your life with us

    To drive the transformation of Ingka into a more data-driven company by extracting and sharing insights from data that reinforce, alter, or largely impact present and future decisions on country performance and strategy, leading to a better experience for our customers . This role will also actively leverage Artificial Intelligence and Machine Learning to automate and optimize business processes at a country level.

    • Good knowledge of data mining techniques, modern visualisation software, or relevant domain datasets and tools for analysing them .
    • Broad knowledge of data pre- processing 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) .
    • Good knowledge of digital product development principles and the importance of rapid validated learning cycles
    • Good knowledge of IKEAs corporate identity, core values and vision of creating a better everyday life for the many people .
    • AI/ML Concepts: Understanding of machine learning algorithms, deep learning, NLP, Computer Vision, and Robotic Process Automation (RPA).
    • AI/ML Tools & Platforms: Familiarity with AI/ML libraries (e.g., scikit-learn, TensorFlow) and cloud AI platforms (e.g., Google Cloud AI, AWS SageMaker).
    • MLOps and AI Ethics: Basic knowledge of MLOps for deployment and maintenance, and awareness of data ethics/governance in AI.
    • Motivated by the IKEA Vision, making IKEA more affordable, accessible, and sustainable .
    • Motivated by growing business and people together .
    • Ability to understand the complexity of our IKEA business and the role of Data & Analytics as an integrated part .
    • Ability to thrive in a highly cross- disciplinary work environment .
    • Ability to perform work with a balanced trade-off between care and speed, and to understand that rapid insights may come at an initial cost of rigorousness .
    • Good written and verbal communication skills, e.g. around storytelling supported by data visualisation, for a wide range of audiences .
    • AI Problem Solving: Ability to identify and solve business problems using AI/ML.
    • Model Lifecycle Management: Proficiency in building, evaluating, deploying, and monitoring AI models.
    • AI Data Prep: Skills in preparing data for AI/ML models.
    • Collaboration: Strong cross-functional collaboration for AI solution implementation.
    • Total Professional Experience: 3-7+ years in data analysis/science roles.
    • Formal qualifications (BSc, MSc, PhD) in economics, engineering, natural sciences, or equivalent .
    • Minimum 2 years of professional experience as a Business Analyst, (Junior) Data/Web Analyst or (Junior) Data Scientist .
    • Good knowledge of data processing for large datasets .
    • Preferred: Experience with presenting to large audiences and senior stakeholders .
    • Preferred: Familiarity with cloud computing environments, e.g. Amazon Web Services or Google Cloud Platform .
    • Preferred: Experience with digital product development in a retail setting .
    • AI/ML Project Experience: 1-3+ years, including end-to-end AI/ML project development and deployment, particularly for process automation.
    • Practical experience with major cloud AI platforms

    Your responsibilities

    Drive the transformation of Ingka into a more data driven company by extracting and sharing insights from data that reinforce, alter, or largely impact present and future decisions on country performance and strategy, leading to a better experience for our customers.

    • 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
    • Design, develop, and implement AI/ML solutions to automate and optimize key business processes at a country level.

    Together as a team

    We set the digital agenda to keep IKEA leading in an uncertain and fast-moving environment. We drive the development, provision and operation of our digital products and services through the use of new and existing technology and agile delivery methods to deliver at pace.
    At the same time, we provide a home for digital skills to both develop and extend the technical, people and business skills needed to ensure continuous development and growth of our digital capability.

    WE ARE AN EQUAL OPPORTUNITY EMPLOYER:

    At IKEA we value diverse backgrounds, perspectives, and skills. We are committed to providing coworkers with a work environment free of discrimination and harassment. We encourage individualism and invite you to come join our team and be yourself with us! We are an Equal Employment Opportunity employer and do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristic protected by law. All employment decisions are based on qualifications, merit and business need.








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