Data Analyst at PRISM+

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

21 Jul, 26

Salary

0.0

Posted On

22 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Python, SQL, Google Sheets, Data Visualization, Data Cleaning, Trend Analysis, Dashboard Development, Performance Reporting, Problem-solving, Communication, Data Integrity

Industry

Computers and Electronics Manufacturing

Description

PRISM+ is Singapore’s leading homegrown electronics brand, with a presence across key markets in Australia, Malaysia and the Philippines. The brand’s mission is to make premium technologies accessible to the masses—disrupting established industries with innovation and value that goes beyond the product. PRISM+ was founded in 2017 as a direct-to-consumer (D2C) display technology specialist, where it quickly grew to become the number one monitor and smart TV brand in Singapore. Best known and loved for its affordable premium offerings and award-winning customer experience, the brand has expanded its offerings to include a wide range of affordable premium home electronics and appliances. Join us at PRISM+ and become part of a journey where innovation meets impact, and every day offers a chance to shape the future of consumer technology. Discover a career where your ideas matter, your growth is nurtured, and together, we create a brighter tomorrow. Responsibilities Extract, clean and present data in an understandable manner to respective department leads Analyze operational data to identify trends, patterns, and areas for improvement Provide actionable insights to the respective stakeholders Develop and maintain dashboards for real-time monitoring of key performance metrics Ensure data accuracy and integrity in all reporting systems Prepare regular performance reports to track progress against goals Collaborate with team members to interpret data and implement improvements Any other adhoc tasks as assigned by the Company Diploma or Bachelor's Degree in Data Analytics/Science or a related field Proficiency in data analysis tools such as Python, SQL, and Google Sheets Strong knowledge of data visualization tools and ability to present data insights effectively. Excellent problem-solving skills and ability to work with large and complex datasets. Strong communication skills, with the ability to present technical findings to non-technical stakeholders.

Responsibilities

The Data Analyst will extract, clean, and analyze operational data to identify trends and provide actionable insights to stakeholders. They are also responsible for developing dashboards and ensuring data integrity across reporting systems.