全职 Senior Manager_Data Analytics EVERGREEN 工作, 薪水, QSR Brands Selangor 公司招聘中 - Ricebowl

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Job Summary:**

We are seeking a highly skilled and experienced Senior Manager, Data Analytics to lead and optimize our data analytics initiatives. This role is crucial for driving data-driven decision-making across QSR Brands (M) Holdings Bhd, providing strategic insights to improve business performance and customer experience.

Job Responsibilities:**

• Lead and mentor a team of data analysts, fostering a culture of continuous learning and data excellence.
• Develop and implement data analytics strategies and roadmaps aligned with business objectives.
• Oversee the end-to-end data analytics lifecycle, from data collection and processing to analysis, reporting, and visualization.
• Identify key business questions and translate them into analytical problems, designing and executing appropriate analytical solutions.
• Utilize advanced statistical modeling, machine learning, and predictive analytics techniques to uncover actionable insights.
• Collaborate with various departments (e.g., Marketing, Operations, Finance) to understand their data needs and deliver tailored analytical solutions.
• Develop and maintain robust dashboards and reports to monitor key performance indicators (KPIs) and track business trends.
• Ensure data quality, integrity, and governance across all data sources and analytical processes.
• Stay abreast of industry best practices, emerging technologies, and analytical tools to continuously enhance our data capabilities.
• Present complex analytical findings to senior leadership in a clear, concise, and compelling manner.
• Drive the adoption of data-driven decision-making across the organization through training and advocacy.
  
  

Job Qualifications:**

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related quantitative field.
• Minimum of 8-10 years of progressive experience in data analytics, with at least 3-5 years in a leadership or managerial role.
• Proven track record of successfully leading and delivering complex data analytics projects.
• Expert proficiency in SQL for data extraction and manipulation.
• Strong experience with data visualization tools such as Tableau, Power BI, or QlikView.
• Advanced statistical modeling and machine learning expertise (e.g., regression, clustering, time series analysis, classification).
• Proficiency in at least one programming language commonly used for data analysis (e.g., Python, R).
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) is a strong plus.
• Excellent communication, presentation, and interpersonal skills with the ability to explain complex technical concepts to non-technical stakeholders.
• Strong analytical, problem-solving, and critical thinking abilities.
• Ability to work independently and as part of a team in a fast-paced environment.
• Experience within the F&B or retail industry is advantageous.