CRM Data Analyst - Cape Town

Only for registered members Cape Town, South Africa

1 month ago

Default job background
R250,000 - R500,000 (ZAR) per year *
* This salary range is an estimation made by beBee

Job summary

We are looking for a CRM Analyst to work within the VML Data team. The Analyst will analyse data to deliver value through understanding our clients' customers and the performance of marketing activities.

Responsibilities

  • Design, manage, and deliver end-to-end analyses aimed at helping Marketing to improve the experience of the customer
  • Deliver measurement and effectiveness projects, including dashboard reporting and deep dive evaluations to understand the impact marketing has on customer behaviour
  • Deliver customer projects (segmentation, modelling), using statistical techniques to develop a deep understanding of customers
  • Ensure that the most relevant methodologies are applied to measure and evaluate, proactively recommending better ways of working
  • Develop and provide written and verbal output on reports and presentations, supporting with recommendations on marketing strategy
  • Manage and resolve data issues involving quality and consistency of data
  • Be the clients trusted advisor on data and analytical methodology - make it easy for them to make business decisions based on data
  • Present to clients and attend client meetings

Skills & Experience

  • 2+ years working in a marketing environment as an analyst
  • Proficiency in SQL is mandatory
  • Experience with data visualization tools such as Power BI or Tableau is mandatory
  • Python experience is very useful; willingness to learn if not already experienced
  • Familiarity with Salesforce is very useful but not essential
  • High level Microsoft Word, Excel and PPT skills
  • Attention to detail and a commitment to accuracy
  • Well-developed numeracy skills
  • Able to translate business needs and requirements to analytical methods and outputs
  • Good written and verbal communication skills
  • High-level analytical skills for performance analysis
  • Experience with reporting dashboard design and automation
  • Knowledge of advanced data analysis techniques
  • Experience with segmentation and modelling techniques (nice-to-have)

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