Business Intelligence Data Analyst

Kuala Lumpur, M14, MY, Malaysia

Job Description

PRISM+ is the largest Singaporean direct-to-consumer smart home appliances brand. Our mission is to offer cutting-edge products to the masses at affordable prices. We are a rapidly growing, ever-evolving organization, and we are seeking new teammates to join us on our exciting journey.


We are seeking a skilled and motivated Business Data Analyst to join our dynamic team. As a key member of our data analytics department, you will play a crucial role in extracting insights from large volumes of data, driving data-driven decision-making, and contributing to strategic initiatives across multiple countries (MY/AU/PH/SG). The successful candidate will be responsible for data visualization, resolving data quality issues, implementing data automation solutions, automating report generation, and incorporating artificial intelligence into workflows and staying up to date with the current technologies . Your expertise will be pivotal in automation processes, generating actionable insights, and effectively communicating findings through presentations.

Responsibilities



Implement and maintain automated data pipelines and processes to streamline data collection, transformation, integration, and report generation. Enhance efficiency and reduce manual effort by developing and overseeing automated workflows. Manipulate and analyze large datasets to uncover trends, patterns, and insights that drive business growth and inform strategic decisions. Utilize advanced data manipulation techniques to prepare data for analysis. Develop and maintain effective dashboards, reports, and interactive data visualizations. Convey complex information to stakeholders and monitor key performance metrics through visual storytelling. Identify and address data quality issues by collaborating with cross-functional teams. Ensure the accuracy, consistency, and integrity of data sources to maintain high data standards. Collaborate with the team to explore machine learning opportunities. Leverage data to build predictive models and enhance business processes. Utilize historical data and statistical methods to create accurate forecasts and predictive models for various business metrics. Provide actionable insights to support business planning and decision-making. Analyze data to identify trends, opportunities, and areas for improvement. Generate actionable insights that drive strategic decision-making and support business objectives. Translate complex data findings into clear, concise, and compelling narratives. Use PowerPoint and other presentation tools to communicate insights to both technical and non-technical audiences. Conduct thorough market research through webscraping to analyze market penetration and identify opportunities for expansion and growth. Provide recommendations based on market analysis to support business development strategies.

Requirements



Bachelor's degree in Data Science, Business Analytics or a related field. Proven experience in Data Analysis, Data Visualization, and Data Automation. Proficiency in Data Analysis tools and languages such as SQL, Python, and visualization tools like Tableau. Strong understanding of statistical methods and predictive modeling techniques and Artificial intelligence implementations. Strong analytical mindset with a passion for data-driven decision-making. Excellent problem-solving skills and attention to detail. Excellent communication and presentation skills. Ability to work collaboratively in a team environment. Self-motivated with a proactive approach to identifying opportunities to improve workflows.

Benefits



Competitive Salary with great commission earning potential. Annual outpatient benefit (Includes dental and optical benefits) Birthday leave Annual increment * Performance bonus

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Job Detail

  • Job Id
    JD1145330
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Kuala Lumpur, M14, MY, Malaysia
  • Education
    Not mentioned