Data Analyst

Data Analyst

Location: Romford, Harold Hill

3 days at home, 2 days in office - 9:00 - 5:30 (will consider flexible working)

Salary: paying up to £40K

Duration: Perm

I am excited to announce this great new role in from a new client of mine. A leading British travel insurance company are seeking a Data Analyst to join their organisation to Build, clean and restore data, ensuring the quality and accuracy enables the Pricing department to better understand the business and improve decision making capabilities.

The main duties include:

• Working with Marketing to access and utilise customer/retail data to enhance pricing models
• Working with IT on acquiring data for models and assist pricing colleagues with development and deployment of models
• Being creative when leading the development of both high level & segmented KPI reports for stakeholders. Including: Becoming a pricing data expert and expert in BI software, Setting up data dictionaries, data processes and datasets for risk cost models and Ensuring pricing/actuarial data reconciles with finance
• Being comfortable in preparing and sharing timely updates in the weekly pricing committee
• Being comfortable as the main data contact for the pricing team
• Supporting other pricing colleagues with ad-hoc pricing tasks
• Being curious and bring data science innovation to the team
• Plus, any additional duties and responsibilities that may reasonably be expected to be undertaken in accordance with the role.

Toi be considered for this role, the following Knowledge & Skills are required:

• Commercially inclined with a growth mindset
• Strong communication, facilitation, presentation, and numerical skills
• Comfortable with decision making where there is a level of uncertainty
• Ability to operate in a fast-paced environment with a focus on delivery
• Ability to build and sustain strong working relationships with a variety of stakeholders
• Mathematics, statistics or economics graduate preferred
• Knowledge of SAS and Microsoft packages, including Excel is essential
• Experience in either R, SQL, Python, Power BI, Tableau preferred
• Knowledge of Microsoft packages, including Excel.

37.5 hours per week, Monday to Friday inclusive. However, a flexible approach between the core working hours of 8:00am - 8:00pm is essential. Infrequent weekend and evening working will be required, as requested by Senior Management, for which time off in lieu will be given.

If you would like to learn more about this role, please apply now! We are looking forward to hearing from you.

(Ritz Rec Emp Agy)