Data Analyst - Customer & Digital Analytics

Leading UK financial services company require a Data Analyst / BI Developer to enhance their customer and digital analytics capabilities. You will be joining at a key growth point in the organisation and work with an existing team of Data Analysts to increase adoption of technology and analytics tools (Python / Power BI) to aid strategic decision making and increase ROI.

Client Details

Leading UK financial services company

Description

Leading UK financial services company require a Data Analyst / BI Developer to enhance their customer and digital analytics capabilities. You will be joining at a key growth point in the organisation and work with an existing team of Data Analysts to increase adoption of technology and analytics tools (Python / Power BI) to aid strategic decision making and increase ROI. You will work with the CRM team and 3rd Party companies to enhance customer profiling and maximise marketing channels.

The role has a highly flexible hybrid / remote working environment - 1-2 days per month onsite in Nottingham

Key Responsibilities:

Analyse and interpret data from multiple sources (Digital / 3rd Parties / Customer) to improve performance, budget efficiency, and ROI.
Track key customer KPIs and support acquisition and retention strategies through A/B testing and data insights.
Conduct statistical analysis to identify trends, patterns, and outliers that inform strategic decisions.
Present complex data in clear, actionable formats for various stakeholders.
Build and maintain dashboards and reports using Excel, Power BI, Tableau, or similar tools.
Manage relationships with external lead generation partners.
Collaborate with cross-functional teams to deliver data-driven solutions.

Requirements:

Degree in relevant subject (Data Science, Statistics, Economics or similar degree) (Essential)
3+ years' experience in the Financial Services Industry (Essential)
Proficiency in Excel (Essential)
Proficiency in Python, SQL or other programming languages (Essential)
Ability to communicate technical insights to non-technical audiences effectively (Essential)
Detail-oriented and process-driven with a focus on continuous improvement (Essential)
Comfortable working in a fast-paced, evolving environment (Essential)
Statistical Methods Knowledge (Desirable)
Experience using Salesforce and data visualisation tools (Desirable)Profile

Degree in relevant subject (Data Science, Statistics, Economics or similar degree) (Essential)
3+ years' experience in the Financial Services Industry (Essential)
Proficiency in Excel (Essential)
Proficiency in Python, SQL or other programming languages (Essential)
Ability to communicate technical insights to non-technical audiences effectively (Essential)
Detail-oriented and process-driven with a focus on continuous improvement (Essential)
Comfortable working in a fast-paced, evolving environment (Essential)
Statistical Methods Knowledge (Desirable)
Experience using Salesforce and data visualisation tools (Desirable)Job Offer

Opportunity to join a rapidly expanding financial services company

Opportunity to influence and enhance insight & analytics strategy