CRM Data Analyst

Full time in Human Resources
  • Cairo, 36 ElShikh Mohamed ElNady St., Nasr City, 11371 View on Map
  • Post Date : January 8, 2024
  • Apply Before : January 18, 2024
  • 16 Application(s)
  • View(s) 313
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Job Detail

  • Job ID 7641
  • Career Level Entry Level/Junior Level / Fresh Grad
  • Experience (Min Years) 1
  • Experience (Max Years) 2
  • Age not less 22
  • Age not exceed 25
  • Education Level Bachelor\'s Degree
  • Gender All Gender
  • Industry Pharmaceutical
  • Nationality Egyptian

Job Description

  • Analyze and interpret data to identify trends, patterns, and insights that can be used to enhance customer engagement and drive business growth.
  • Conduct data cleansing, data validation, and data enhancement activities to ensure the accuracy and integrity of the CRM database.
  • Develop and maintain reports and dashboards to monitor key performance indicators (KPIs) related to customer behavior, sales performance, and campaign effectiveness.
  • Collaborate with cross-functional teams, including sales, marketing, and IT, to gather requirements and implement CRM data analytics projects.
  • Support the design and implementation of targeted marketing campaigns by providing segmentation analysis and customer profiling.
  • Conduct ad-hoc data analysis to address specific business questions or challenges, and present findings and recommendations to stakeholders.
  • Stay up-to-date with industry trends and best practices in CRM data analytics and leverage new techniques and technologies to enhance data-driven decision-making.

Requirements:

  • Bachelor’s degree in a relevant field such as Data Science, Statistics, Business Analytics, or a related discipline.
  • 1-2 years of experience in data analysis in the pharmaceutical industry.
  • Strong analytical skills.
  • Advanced Excel & MS Office is a must.
  • Knowledge of CRM systems and experience working with CRM data.
  • Familiarity with data visualization tools to create reports and dashboards.
  • Understanding of basic statistical concepts and experience with statistical analysis techniques.
  • Excellent attention to details.
  • Effective communication and organizing skills.
  • Strong problem-solving skills and the ability to work independently as well as collaboratively in a team environment.

Required skills

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