Senior Data Analyst
Salary £70,000 - £80,000 per annum
Location London
FULL_TIMEConsultant Joshka Van Der Walt
JobRef 50799933/001
Date posted 13 June 2022
london banking-financial-services/quantitative 2022-06-13 2022-08-12 it London London GB GBP 70000 80000 80000 YEAR Robert Walters https://www.robertwalters.co.uk https://www.robertwalters.co.uk/content/dam/robert-walters/global/images/logos/web-logos/square-logo.pngThe purpoe of the Senior Data Analyst is to provide insightful analysis and data on client (customer) activity across all departments within the business. The business itself is a UK leader in integrated wealth management and professional services.
Key Skills and Experience:
• Deep demonstrable knowledge of SQL, Python and R
• Advanced working knowledge of PowerBI an advantage
• Degree in Mathematics, Statistics, Business, Analytics, or relevant field;
• Proven experience as Senior Data Analyst
• Data-warehousing principles and best practices
• Knowledge of Statistical analysis techniques
Key Responsibilities:
• Develop understanding of new and prospective clients, particularly around acquisition, retention and churn
• Own, build and manage a roadmap of analytics and insights projects collaborating with the rest of the Insights team and other stakeholders to do so
• Build statistical models to be able to perform descriptive, inferential, and predictive analytics
• Build understanding of key drivers of performance trends based on a hypothesis-driven approach, backed-up by robust statistical analysis
• Be able to segment clients and understand how behaviour differs across segments
• Work with other data teams to create a single source of truth
• Source, cleanse and structure data where needed for analytical projects
• Understand where data resides, who owns it and how it is used throughout the platform, and identify opportunities for improvement.
• Define and evangelise product and customer metrics
• Work closely with different teams across the business to improve data literacy and empower teams with the right tools, reports and guidance to leverage insight to make better informed decisions
• Build visualizations to present insights
• Manage one other data analyst
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