Job Description
Exciting opportunity to work with a Big4 Tech company as a Data Scientist, based in London!
Any additional information you require for this job can be found in the below text Make sure to read thoroughly, then apply.
12 months contract
Key Qualifications:
• Postgraduate degree (MS or PhD) in a quantitative field of study including economics, statistics, applied mathematics, data science, business, or a related discipline.
• 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.
• Experience reporting on web analytics in Adobe, or other web analytics tools.
• Comfortable using modern data technologies. Familiarity with database modelling and data warehousing principles (Snowflake preferred).
• Knowledge of the digital advertising industry, the mobile app economy or related field.
• Familiarity with automated data ingestion processes including APIs.
• Ability to partner effectively with data science and engineering stakeholders to meet the data needs of the business, translating business needs into analytical requirements.
• Ability to communicate the results of analyses in a clear and effective manner.
• Excellent written, verbal, presentation and communication skills.
• Self-motivated and proactive with proven creative, problem-solving, and critical thinking capabilities.
Description:
• Support the Marketing and Sales teams with customer insights and analytics that inform and fulfill strategic objectives and goals.
• 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.
• Build dashboards, reports and presentations.
• Collaborate with cross-functional team, including Marketing, Sales, Data Insights and Engineering.
Design, conduct and analyze A/B tests to optimize performance of marketing campaigns.