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Data Analyst - Residual Value Monetisation
drjobs Data Analyst - Residual Value Monetisation العربية

Data Analyst - Residual Value Monetisation

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1 Vacancy
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Job Location

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Lahore - Pakistan

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2602411

Requirements:

  • Bachelors 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 problemsolving 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 indepth 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 datadriven 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.

Remote Work :

No

Employment Type

Full Time

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