Data Analyst

Petaling Jaya, Selangor

Posted more than 30 days ago

Company:: Sparke Labs Sdn. Bhd
Company Description:: SPARKE LABS SDN BHD (Formerly known as HANDMADE HEROES SDN BHD) a private limited company incorporated on 4th January 2018. Initially, the company is based at Singapore as a cosmetic trading and marketing company before expanding the business into Malaysia on September 2017. Its core business activities are in the mass production, packing, labelling and as an original equipment manufacturer (OEM) service provider for cosmetics products include skincare, personal care and make-up range. The products manufactured are sell for local (Malaysia) and international market include United States of America, United Kingdom, Canada, Australia, Singapore and Japan.
Contract Type:: Contract
Experience Required:: 1 year
Education Level:: Diploma
Number of vacancies:: 1

Job Description

Job Summary:

We are seeking a highly analytical and detail-oriented Data Analyst with strong numerical skills to interpret and analyze digital performance data. In this role, you will focus on examining and interpreting key metrics related to various online campaigns, using your quantitative expertise to provide actionable insights that drive business decisions. You’ll be responsible for identifying trends, patterns, and optimizing digital performance based on data-driven analysis.

Key Responsibilities:

- Analyze large sets of data from digital campaigns to extract actionable insights.

- Interpret trends and metrics from digital platforms, providing recommendations to enhance performance.

- Monitor key performance indicators (KPIs) and identify potential inefficiencies or opportunities.

- Prepare detailed reports that clearly present findings, patterns, and optimization opportunities.

- Collaborate with various departments to ensure data-driven strategies are aligned with business goals.

- Build and maintain dashboards to track ongoing performance and suggest areas of improvement.

- Assist in forecasting and budgeting processes using historical data trends.