Freelance Data Analyst
Overview
Placement Type:
Temporary
Compensation:
£450 per day(Umbrella)
Start Date:
Asap
Contract – 12 months, Location -Bishops Gate, London (3 days onsite, 2 days remote)
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.
Client Description
Our Client is a multinational technology company that boasts some of the most popular consumer electronics on the planet. They also offer prolific media and entertainment services, software, cloud services, fitness accessories, and payment solutions.
Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.