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    Senior Data Analyst - Metro Manila, Pilipinas - Sysgen RPO Inc

    Sysgen RPO Inc
    Sysgen RPO Inc Metro Manila, Pilipinas

    2 araw ang nakalipas

    Default job background
    Buong oras
    Paglalarawan
    About the Job:
    • Direct hire with the Client
    • Onsite, Regular Dayshift, M-F in Marikina City
    • Permanent position
    Data Collection and Management:
    1.Gather retail data from various sources, ensuring accuracy and completeness.
    2.Maintain organized databases and data repositories for efficient access and analysis.
    3.Reporting and Presentation:
    a.Generate regular reports, dashboards, and presentations summarizing analysis findings.
    b.Communicate insights to management, facilitating data-driven decision-making.
    4.Cross-functional Collaboration:
    a.Collaborate with other units and departments to align strategies with data-driven insights.
    b.Provide support and guidance to teams in implementing recommended strategies.
    5.Data Analysis:
    a.'SALES DATA': Identify sales performance, providing actionable recommendations.
    b.'UTILITY EXPENSES': Identifying optimization opportunities.
    c.'SALARY EXPENSES': Identifying for cost-effectiveness and efficiency.
    d.'MANPOWER TURNOVER DATA': Understand its impact, and develop retention strategies.
    e.'STOCK LOSS DATA': Determine root causes and prevention strategies.
    f.'STOCK LEVELS': Collaborate with warehouse, ITDM, and retail teams for optimization.
    g.'FESTIVAL SEASON OPERATING': Analyst sales and expenses to closure or opening.
    6.Market Intelligence:
    a.Survey and collect market trends, competitor strategies, and consumer behaviour data.
    b.Provide insights and strategic recommendations.
    7.Accomplish other future tasks assigned by RTM Heads.

    Job Qualifications:
    Bachelor's degree in Computer Science, Mathematics, Statistics, or related field
    At least 2 year experience in the Data Analysis
    Analytical Skills and Data Analytics expertise
    Expertise in statistics and data modeling
    Excellent written and verbal communication skills
    Ability to present data and insights in an easy-to-understand format
    Experience with data analysis tools such as Power BI, Excel (Pivot and Vlook up), and programming languages (SQL) and other data retrieval tools
    Amenable to report onsite (Markina) from Monday - Friday (9am - 6pm
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