London - JC - 5711 Senior Marketing Data Analyst

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• Do you have experience of providing advanced data analytics expertise, on a Marketing and Sales project?

This consulting opportunity is to support our client (a leading consumer electronics company), in providing the Marketing and Sale teams with customer insights and data analytics to inform and fulfill strategic objectives and goals.

The project needs a consultant who has:

• 5-7 years professional experience developing advanced Tableau data visualisations, dashboards and reporting.
• Programming skills in SQL and Python.
• Skills in exploratory data analytics, advanced quantitative analysis and data technologies (preferably Snowflake).
• Knowledge of digital advertising industry, the mobile app economy or related field.
• Postgraduate degree in quantitative field of study including economics, statistics, applied mathematics, data science, business or a related degree preferable.

• The key services you'll be providing include:
• Provide Web analytics support to Marketing stakeholders (e.g. producing ad-hoc custom dashboards and Keynote analyses supporting stakeholders)
• Ensure operational excellence by maintaining and improving existing insights development and web reporting processes.
• Quantify the impact of marketing initiatives on customer success and future behavior.
• Drive business analytics projects through all phases, including data quality, data analysis, data visualization, and presentation of results and deliverables.
• Monitor usage metrics, understanding business-based explanations for large scale trends and patterns in customer lifecycle behavior.
• Develop data models and analytical tools for ongoing audience segmentation, benchmarking, trending and competitive analysis.

• Successful consultants will be able to demonstrate the following:
• 5-7 years professional experience developing advanced Tableau data visualizations, dashboards and reporting.
• Programming skills in SQL and Python required to develop and maintain custom ETL processes.
• Skills in exploratory data analysis and familiarity with advanced quantitative analysis.
• Comfortable with data technologies, data modelling, data warehousing principles (Snowflake preferred)

• It will also be advantageous if you:
• Postgraduate degree (MS or PhD) in a quantitative field of study including economics, statistics, applied mathematics, data science, business, or a related discipline

• Inside IR35

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