Apply Now FULL TIME Assistant Manager , Data Analyst At Sime

We are seeking a passionate Assistant Manager, Data Analyst! We're looking for someone to start immediately in this Remote role. You'll leverage your skills in Proficient in BI tools to succeed. A salary of $60k - $80k per Year is offered.

Job purpose

A talented and experienced Data Analyst to join our team. The ideal candidate will have a strong background in Business Intelligence (BI) and data visualization, with at least 2 years of hands-on experience. You will be responsible for transforming data into actionable insights that drive business decisions.

Job Responsibilities

• Develop, implement, and maintain BI solutions to support business operations.
• Create and manage dashboards, reports, and visualizations using tools such as Power BI, Tableau, or similar.
• Analyze complex data sets to identify trends, patterns, and insights.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
• Involve in discussions and fact-findings with business users and stakeholders to understand, improve, prototype and implement analytics solutions.
• Work closely with data engineers and external vendors to deliver data pipelines from source to BI platforms.
• Ensure data accuracy and integrity by performing regular data quality checks.
• Provide training and support to end-users on BI tools and reports.
• Stay updated with the latest BI trends and technologies to continuously improve our data analytics capabilities.
• Assist the analytics team in advocating for the usage & value of analytics in the organization.

Education/Professional Qualification

We are seeking candidates with a Bachelor’s degree in Data Science, Computer Science, Information Technology, or a closely related field.

A minimum of 2 years of hands-on experience in data analysis and business intelligence visualization is essential.

You should be proficient in BI tools such as Power BI, Tableau, or other equivalent platforms.

Strong SQL skills and familiarity with data warehousing concepts are also required.