Data-Driven Omnichannel Specialist

4 days ago

Sydney, New South Wales, Australia beBeeOmnichannel Full time $120,000 - $160,000
Role Summary

We are seeking a skilled Omnichannel Analytics professional to join our team. The ideal candidate will possess strong analytical skills and experience with Python/R and statistical techniques.

This role involves conducting in-depth analysis of customer behavior and journey to optimize the customer experience across multiple channels.

The successful candidate will design experiments, develop analyses, extract, clean, and analyze detailed data from various sources.

They will also collaborate with senior analytics specialists to create compelling data visualizations and insights for analytics leaders.

Additionally, they will develop and maintain regular analytics deliverables that meet quality standards, timeliness, compliance, and excellent user experience.

Key Responsibilities
  • Conduct analysis of customer behavior and journey to optimize customer experience
  • Design experiments and develop analyses to optimize targeting, timing, frequency, location, content, and other key factors
  • Extract, clean, and analyze detailed data from internal databases, vendors' data feeds, or web data extracts
  • Collaborate with senior analytics specialists to create compelling data visualizations and insights
  • Develop and maintain regular analytics deliverables
Qualifications
  • Proven working experience with Python/R and statistical techniques
  • Strong analytical skills and ability to work closely with Brand Marketing leadership
  • Hands-on experience with Predictive Modeling, Marketing Mix Modeling (MMM), Customer segmentation using algorithms such as XGBoost, Random Forests, Linear & Logistic regression, K-means clustering, etc.
  • Ability to develop multi-channel attribution models to estimate impact of promotional channels and deliver analysis and results on campaign ROI and mROI
  • Familiarity with budget planning, targeting and segmentation, brand strategy, digital affinity prediction, and content analysis or modeling

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