CRM Analyst

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Employer: Blue Chameleon Tech
  • Internet - eCommerce
  • Marketing
  • Job type: full-time
    Job level: 1 - 5 years of experience
  • Updated at: 28.09.2020
    Short company description

    Located in the bustling city of Bucharest,
    Blue Chameleon Tech is a hub of international marketing and tech enterprise.


    -2+ years experience in the area of analytics with a proven track record of leveraging data analysis to drive business impact
    -Degree in Statistics, Mathematics, Economics or Marketing
    -SQL skills including extensive experience querying large, complex data sets -Advanced Microsoft Excel skills (e.g. Pivot Tables, Lookup functions)
    -Working experience with visualization BI reporting tools is strongly preferred
    -Working experience with CRM tools (Optimove, Exact Target) is a plus
    -Strong analytical skills with ability to deliver insightful ideas, excited to draw findings from figures
    -Great attention to details
    -Great report writing
    -Deep understanding of marketing data, segmentation, metrics and tools


    -Provides analytical support to CRM team
    -Performs data analyses and post activity evaluations to deliver insights and makes recommendations
    -Ensures optimisation of CRM marketing activities by defining market sectors and customer selection based on customer profiling and segmentation
    -Performs assessment of CRM programs, communications and promotional activities according to their efficiency and profitability
    -Ensures the interpreting and presenting the results of the analyses and drives campaign improvement by providing recommendationr
    -Designs, builds and publishes reports, dashboards and analyses by the use of the consumer data platform and other reporting and visualisation tools
    -Performs timely accurate KPI reporting on scheduled basis
    -Answers ad-hoc questions and proactively identifies opportunities to drive marketing strategies and insights
    -Engages proactively on testing new ideas adjusting campaigns based on near real time analyses