Data Analyst

CV-Library

Posted on Sep 24, 2021 by CV-Library

Staffordshire, United Kingdom
IT
Immediate Start
£300 - £350 Daily
Contract/Project
Data Analyst

A fast-paced, innovative lender working at the point e-commerce meets consumer finance, is seeking a Data analyst to support client and consumer acquisition strategies and product development needs. The role holder will work with credit risk and financial analysts as part of the analytics capability.

The successful candidate will turn data into information, information into insight and insight into business decisions. Will therefore need to be able to engage senior business stakeholders of varying levels of data literacy.

Primary Responsibilities

Identify, analyse, and interpret trends or patterns in complex data sets
Transactional data reporting from operational data
Build dashboards and reports from Data warehouse & Data marts
Analyse Consumer Checkout conversion and suggest product improvements
Analyse Retailer and Retail Sector performance and provide account management MI
Support client acquisition and marketing response generation performance
Client experience, support and feedback metrics
Work with Product teams to build DivideBuy solutions
Manage stakeholders across the business including end to end delivery and championing of analytical ideas and strategy changesAdditional

Delivery of good customer outcomes and positive P&L impact
Support financial modelling that predicts on-going credit risk exposure to the organisation
Understand how risk control influences cashflow, NPV modelling and P&L forecasting, working closely with Finance
Provide specialist support to product team in development of new products, pricing and propositionsSkills and experience

A self-starter comfortable in a fast-paced environment
Excellent Data visualisation and Personal communication
VBA/PowerBI experience (building and maintaining)
Any exposure to Metabase application or similar
Database interrogation using MySQL/PostgreSQL
Exposure of SAS or similar, used in conjunction with large enterprise data warehouses and data marts
Educated to degree level (minimum) in a numeric discipline
Knowledge of unsecured lending in a consumer credit environment
And or Knowledge of retail sector and ecommerce platform data.
Experience of big data and data science techniques desirable but not essential

Reference: 214742486

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