Job roles:
- Drive projects and conduct advanced analytics on related service data using more complex statistical analysis approaches and tools.
- Identify and suggest innovations for data analytics approaches to more effectively detect insights on service process & performance.
- Develop data visualization methodologies and tools to present feedback data analytics findings to management.
- Provide guidance to other stakeholders by using customer insights to support decision-making in operational functions.
- Review and identify ways to improve service data usage, data quality and data management.
- Any other duties that are required to support the team’s objectives.
What you will do:
- Work with all relevant parties/stakeholders to collate business requirement; Undertake and initiate any data analytics requests as directed by management.
- Participate in data management workgroup and committees to drive and support cluster/institution data analytics initiatives.
- Lead and support in problem analysis, opportunities identification, improvement measures definition and proposal recommendation to supervisor, workgroup and management.
- Support the curation and maintenance of data catalogue, Business Intelligence/AI projects etc. Guide and provide advice to users on the right datasets to be use.
- Review and support the users in the report enhancement.
- Plan, Design & Implement various Service Business Analyst Tools by utilizing related technology including AI/Machine Learning, to provide best in class business intelligence opportunity internally, be able to perform business both from pro-active way and re-active way.
- Secure UDIS Uptime & Retail internal awareness & competence to make best use of Business Analytic Tools.
** There is opportunity to convert this position to a permanent role.
Required Competencies / Experiences:
- At least a Bachelor's Degree in Computer Science/Information Technology or equivalent
- Fast learner with eye for details, proactive and self-motivated team player
- Flexible, open to new ideas and able to implement solutions effectively and independently
- Customer service-oriented and strong analytical mind with inclination for problem solving
- Ability to clean and analyse huge datasets using advanced data management and analytics tools (e.g. MS Excel, Power BI, SAS, Tableau, Qlik Sense etc)
- Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python is a merit
- Good analytical, problem solving and project management skills.
- Good written and presentation skills
- Able to interact and work well with people at all levels
- Knowledge of automotive aftermarket is a merit
- Good communication skills (written and oral) in English
- Fully proficient in Microsoft Office applications
