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Senior Manager - Data Analyst

Location
Head Office
Team
Administration & Office Support

Responsibilities

Core Responsibilities:

  • Conduct statistical/primary research across industries for business justification.

  • Convert insights into business recommendations and cascade for executions through cross functional collaboration. 

  • Be Strong in project management. 

  • Spot risk, opportunity to reshape format strategy where possible from both Internal and external information.

  • Capable of finding insights from external sources and make clear comparison of market.

  • Responsible for all analytical works assigned and present to Executive Managements.

 

Responsibilities:

  • Develop and communicate roadmaps for data analysis.

  • Identify and gather data sets necessary for business requirements.

  • Prior hands-on experience in data-mining techniques to better understand each pain point and provide insights.

  • Able to design and conduct analysis to support product & channel improvement and development.

  • Present key findings and recommendations to business counter parties and senior management on project approach and strategic planning.

  • Conduct comprehensive financial analyses to identify performance gaps, trends, and opportunities for improvement.

  • Develop and implement strategies to enhance profitability, optimize resource allocation, and manage financial risks.

  • Collaborate with internal corporate Finance to understand business’s goals and objectives.

Qualifications

  • Master degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System.

  • 5+ years of proven experience as a Data Analytic with a focus on project management (Retail or E-Commerce business is preferrable).

  • Experience in SQL and Python (Pandas, Numpy, SparkSQL)

  • Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources

  • Experience in BigData Technologies like Hadoop, Apache Spark, Databrick

  • Experience in machine learning and deep learning (Tensorflow, Keras, Scikit-learn, Generative AI)

  • Good Knowledge of Statistics

  • Experience in Data Visualisation (Tableau, PowerBI) is a must

  • Excellent communication skills with the ability to convey complex findings to non-technical stakeholders

  • Having good attitude toward team working and willing to work hard.

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