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    Data Analyst - Lahore, Pakistan - HR POD - Hiring Talent Globally

    HR POD - Hiring Talent Globally
    HR POD - Hiring Talent Globally Lahore, Pakistan

    Found in: Manatal GBL S2 T2 - 7 hours ago

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    Description

    Requirements:

    • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field.
    • Min 3 years of proven experience as a Data Analyst or similar role, preferably in the electronics industry.
    • Proficiency in SQL, Python, or R for data manipulation and analysis.
    • Strong analytical and problem-solving skills with attention to detail.
    • Experience with data visualization tools such as Tableau, Power BI.
    • Working experience with CRM systems (Odoo, Suite CRM, Zoho or other).
    • Proficient in Google workspace and Microsoft Office suite (Outlook, Excel, Word, PowerPoint, etc.).
    • Ability to work independently and collaborate effectively in a team environment.
    • Excellent communication and presentation skills.
    • Prior experience with residual value analysis or monetization is a plus.
    • Knowledge of machine learning techniques and predictive modeling is desirable but not required.

    Responsibilities:

    • Collect data from multiple sources including web and internal liquidation processes and ensure its accuracy and reliability.
    • Standardize data formats and structures to create a unified dataset for analysis.
    • Conduct in-depth data analysis to identify trends, patterns, and opportunities related to residual value and future price predictions.
    • Generate reports, presentations, visualizations and dashboards to communicate findings and insights effectively.
    • Develop and implement data quality checks and validation procedures.
    • Work closely with stakeholders to understand their requirements and provide data-driven insights.
    • Create flags or alerts based on analysis results to identify potential risks or opportunities.
    • Help to build systems for data collection, storage, and analysis to ensure efficiency, scalability, and cross functional usage.

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