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Open nowPosted 39 hours ago

BI Specialist

Ikano-Retail153 open roles

Where
Petaling Jaya, Selangor, Malaysia
Work mode
On site
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Your applicationOpen nowBI SpecialistIkano-Retail · Petaling Jaya, Selangor, Malaysia
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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. Ikano-Retail postings stay open a median of 20 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 39 hours ago

Ikano-Retail median: 20 days open

The posting

Company Description

The IKEA vision is to create a better everyday life for the many people. We do this by offering a wide range of well-designed, functional home furnishing products at prices so low that as many people as possible can afford them. We operate in Singapore, Malaysia, Thailand and Philippines – and have an ambitious expansion plan to bring a little bit of Sweden to new markets in the region. We are part of the Ikano Group of companies and the only IKEA franchisee owned by the Kamprad family that founded IKEA.

We also develop, own and operate Shopping Centres that are anchored by IKEA and create walkable communities by including residential, office and other types of real estate in our development plans.

We work towards making sustainability a natural part of our everyday work. We are active in our communities, driving and supporting social initiatives that benefit children, women and the environment.

Job Description

Job Description:

Are you passionate about turning data into insights that drive real business results? As a BI-specialist at Ikano Retail, you will own the end-to-end development of analytics solutions with AI elements for Ikano Retail business functions. From understanding business needs to delivering and maintaining solutions in production, you will help our teams make smarter, faster, data-informed decisions every day.

Key responsibilities:

  • Partner with business stakeholders to understand needs, define requirements and translate them into analytics use cases.
  • Design, build, test and deploy end-to-end analytics solutions – from data sourcing and modeling to dashboards, reports and automated workflows.
  • Embed AI elements into solutions, such as forecasting, anomaly detection, Copilot features, and natural-language insights, to move from reporting to actionable insights.
  • Develop and maintain Power BI data models, reports and dashboards that are accurate, user-friendly and performant.
  • Automate business processes and data flows using Microsoft Power Automate.
  • Ensure data quality, security (including row-level security) and alignment with data governance standards.
  • Support solution adoption through user training, documentation and promoting data literacy across the business.
  • Continuously monitor, improve and maintain solutions in production.

Qualifications

  • 2+ years of experience in business intelligence, data analytics or a similar role.
  • Basic data modelling skills (e.g., star schema, relationships, fact and dimension tables).
  • Hands-on knowledge of Microsoft Power BI, including Power Query and DAX.
  • Knowledge of Microsoft Power Automate for workflow and process automation.
  • Working knowledge of SQL and experience with relational databases.
  • Interest in and basic understanding of AI and machine learning concepts and their application in business analytics.
  • Strong analytical and problem-solving skills, with the ability to turn data into clear, actionable insights.
  • Good communication and stakeholder management skills, with the ability to explain technical topics in simple terms.
  • Fluent in English, both written and spoken.

Additional Information

Nice to have:

  • Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics or a related field.
  • Experience with Microsoft Fabric, Azure data services or other cloud data platforms.
  • Familiarity with Power Apps, Copilot or Azure AI services.
  • Basic Python or skills for data analysis.
  • Experience in retail or a related industry.
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