Retail Data Analyst - Distribution Asia Pacific
Singapore, Singapore
Sika AG
Company Description
With over 100 years of experience, Sika is a specialty chemicals company with a globally leading position in the development and production of systems and products for bonding, sealing, damping, reinforcing, and protecting in the building sector and motor vehicle industry. Sika has subsidiaries in 103 countries, manufactures in over 400 factories, and develops innovative technologies for customers around the world that facilitate the sustainable transformation of the construction and transportation industries. With more than 33,000 employees, the company generated annual sales of CHF 11.24 billion in 2023.
Job Description
We are seeking an experienced
Retail Data Analyst
to become part of our Asia Pacific Distribution Team and join us on our Retail Leadership journey. The successful candidate will play a crucial role in analyzing and deriving actionable insights from various data sources including the Sika Retail Management tool, End-user Engagement Platforms (such as loyalty programs), and Business Intelligence (BI) systems. This role is essential in leveraging data insights across the countries in the Asia Pacific region.
If you're a driven self-starter who thrives on creating systems from the ground up and enjoys the dynamic atmosphere of a multinational environment, please continue reading! While the management of this position is based in Singapore, we welcome applications from talented individuals across all Southeast Asian countries, as the location of the right candidate may be flexible.
Qualifications
Data Analysis and Insight Generation:
- Support countries with analysis of data from various sources such as Sika Retail Management tool, loyalty programs, and BI tools to identify trends, opportunities, and challenges.
- Generating actionable insights to support local strategic business decisions.
Project Management:
- Prepare detailed reports and presentations for senior management, highlighting findings and recommendations.
- Improve retail operations and customer engagement across the APAC region through precise data analysis and recommendations
- Manage and prioritize projects related to data analytics and tool implementations.
- Coordinate with various stakeholders across different departments and countries to ensure effective execution of projects.
Training and Support:
- Provide training and support to local teams on new systems and tools.
- Develop and maintain documentation for systems and processes related to data analytics.
Collaboration with IT and Implementation Support:
- Work closely with IT departments to support the rollout and integration of retail management tools and programs across different countries within the APAC region.
- Assist in the troubleshooting and continuous improvement of existing systems to enhance functionality and user experience.
Additional Information
- Bachelor’s degree in Data Science, Statistics, Computer Science, or related field.
- Proven experience (3+ years) in data analysis or a related field, preferably within the retail industry.
- Proficiency in data analysis tools and software, including advanced Excel skills, SQL, and familiarity with BI tools.
- Excellent analytical, problem-solving, and project management skills.
- Strong communication skills and the ability to present complex data in a clear and concise manner.
- Willingness to travel within the APAC region as required.
- Experience in managing and rolling out IT systems in a multi-country environment is highly desirable.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Computer Science Data analysis Data Analytics Excel SQL Statistics
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Research Scientist jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs