Data Visualisation Lead

The candidate will be reponsible for using Power BI software to communicate information for business users that are universally understandbale or easy to interprert and spot patterns, trends and correlations.

The ideal candidate must have proven experience in creating business value through business insight generation. The data visualisation lead is required to deliver analytics assignments for business users and ensuring the project objectives and company’s goals.

Job Responsibilities: -

Data Visualisation / Business Intelligence

1) Execute business intelligence and visualization projects for business users

2) Create dashboards, reports and spreadsheets that solve business problems using Power BI, Tableau, Microsoft or other visualization tools

3) Work with Data Engineers to create data models that support ad-hoc reporting including dimensional data warehouses, column-store data marts, and traditional middleware like SQL Server Analysis Services and Tableau Data Sets

4) An expert in the visualization ecosystem, including Power BI, Tableau, Sisense, QLIK or other visualization tools

Turning insights into action

1) Engage in the delivery of analytics assignments for business users involving, amongst others: data preparation, data visualization and creating business insights

2) Contribute and facilitate workshops / interviews bridging the gap between data analytics and business outcomes

3) Provide strategic and tactical advice to business users by translating analytical solutions into out-of-the-box execution recommendations addressing business objectives and impacting bottom-line results

4) Work with Data engineers, Data scientists and Domain Experts to architect, deploy and oversee integrated analytics / business intelligence / technology solutions

5) Build case for analytics through need analysis and business cases (quantify likely benefits)

Team Lead

1) Consult with leaders of business teams and manage expectations, meet project and deliverable timelines, ensure accurate and timely completion of deliverable

2) Collaborate with several other teams and role across the organization on requirements gathering and solution deployment

3) Make analytic product, service or process decisions likely to impact multiple groups of employees and/or customers (internal or external)

4) Manage technology solutions portfolios, and identifying new technology approaches to solve business problems with a strong focus on leveraging enterprise data

5) Contribute to the building and management of the analytics infrastructure

6) Work with management team on staffing needs, strategic technology trend identification, monitoring project progress and completion, issue resolution and technical solutions related to data, data flow and advising on algorithm deployment

7) Collaborate with analytics practitioners, business analysts and methodologists to design and oversee the development of working prototypes of technical solutions

8) Technical support and lead for the Data Visualisation team

9) Work with project teams to assist data-related technical issues and support their data infrastructure needs

Job Requirement: -

1) Bachelor’s degree in Computer science, Data Science, Software Engineering or in a related field

2) Minimum THREE (3) years of relevant work experience

3) Professional certifications or completion of trainings on data science is an advantage

4) Proven success working with all levels of management

5) Good analytical skills with proven ability to solve problems creatively

6) Good interpersonal skills and resourceful

Job Type: Full-time

Pay: RM3,000.00 - RM6,000.00 per month

Benefits:

• Company car
• Maternity leave
• Professional development

Schedule:

• Monday to Friday

Supplemental Pay:

• Yearly bonus

Application Question(s):

• What is your expected salary? (min-max)
• What is your current / last drawn salary?
• Do you need to serve notice period? (e.g. 2 months / available immediately)

Education:

• Bachelor's (Preferred)

Experience:

• Power BI: 3 years (Preferred)

Language:

• English (Preferred)
• Mandarin (Preferred)

Location:

• Kuala Lumpur (Preferred)