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E-COMMERCE – DATA ANALYST - Jobs in Saint John region

Personnel Search Ltd.
Job LocationSaint John region
EducationNot Mentioned
Salary60.000 - 80.000
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeContract

Job Description

Our client, Atlantic Canada’s largest retail building supply chain has an opening for an E-commerce Data Analyst in their Saint John, NB Head Office.Duties and responsibilities:

  • Create, conduct, and refine ongoing analysis of user experience, testing, and site performance required to support site decisions on a daily basis.
  • Assist in development and execution of site design and experience testing strategies.
  • Monitor, analyze, and report on customer satisfaction and related consumer driven metrics.
  • Work with internal teams to advance key reporting tools and deploy relevant analytics reporting dashboards, highlighting key insights and areas of importance in accordance with business goals.
  • Liaise with Customer Support team to ensure issues are captured, analyzed, and triaged.
  • Mining and analyzing data from company databases to improve marketing, product development, or overall Ecommerce business strategies
  • Using predictive modeling to optimize revenue growth, marketing campaigns, and customer experiences
  • Developing A/B testing campaign frameworks and testing model quality
  • Communicating and coordinating with teams to implement data-driven strategies while measuring progress
  • Monitor, analyze, and act on key product analytics. Continually improve the product, increase retention rate, and boost customer lifetime value (LTV).
Skills and Qualifications:
  • Magentoamp; Microsoft Dynamics 365 platform experienceamp; knowledge is an asset.
  • 3 years of Digital Analytics experience in Site Analytics, Search and Testingamp; Optimization is required
  • Experience with GA4 and Google Marketing Platform.
  • Strong analytical, prioritization, and negotiating skills
  • Oral and written communication skills
  • Deep knowledge of math, probability, statistics and algorithms
  • Ability to create data architectures
  • Knowledge of machine learning techniques
  • Knowledge of advanced statistical analysis techniques and concepts, and how to apply them to data sets
  • A desire to learn new techniques and technologies
  • Flexibility to work as a member of the team and as an individual contributor
If you would like to learn more about this opportunity, please contact Rini John (john.rini@personnel-search.com) at 506-852-8049 for a confidential exchange of information. Or use the “Apply For Job” button at the bottom to confidentially share a copy of your resume.

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