Fraud Data Analyst - Glasgow, United Kingdom - Project People

Description

FRAUD DATA ANALYST Glasgow

Remote working:
The first 3-4 weeks requires to be onsite – hybrid (normal business hours)
Working hours: 2pm – 10pm; 5 days per week, Monday to Friday (Remote)
6 month Day Rate Contract

A key element of the role will be to drive operational & optimisation improvements to reduce fraud and you will be responsible for utilising a variety of data sources and analytic techniques to identify and investigate fraud-related activities driving performance improvements and sharing insight back with senior management.

The analytics team`s key objective is to provide timely and accurate insight to drive change across the operations.

Working with different key stakeholders across the business, the analysts will provide reports and insight to support continuous improvement and support the creation of sophisticated predictive models that enable the company to maximise profitability in line with business objectives.

What will you be doing?
Working with guidance (but not constant supervision) to develop financial and economic models for planning and monitoring purposes.
Create relevant, lucid and effective reports.
Support research schedules using appropriate analytical processes and procedures.

Supports business processes without supervision by understanding and effectively using standard office equipment and standard software packages, while providing technical guidance as needed.

Support colleagues with data mining and writing computer codes.
Interpret and apply knowledge of laws, regulations and policies in area of expertise.
Perform costing, budgeting and finance tasks
Analyze data trends for use in reports to help guide decision making.
Acquire, organize, protect and process data to fulfill business objectives.
Plan, organize, prioritize and oversee activities to efficiently meet business objectives.
Develop, monitor, interpret and understand policies and procedures, while making sure they match organizational strategies and objectives.

What we are looking for?
Advanced Excel experience essential

They need to be able to identify Patterns and Trends, Data Extraction as well as drive operational & optimisation improvements to reduce fraud.

Data Manipulation
Ability to incorporate data into different systems
Experience of interfacing with commercial teams.
Strong commercial acumen and analytical skills.
Ability to operate in a demand led, rapid change environment.

If sounds interesting, Please share your updated CV to