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Data & Analytics Manager

CPS Group

Caerphilly

On-site

GBP 60,000 - 80,000

Full time

13 days ago

Job summary

A leading financial services provider is seeking a Data & Analytics Manager to lead their growing team in Caerphilly. The role involves driving strategic data initiatives, mentoring analysts, and delivering insights through advanced analytics. The ideal candidate will possess expertise in Python and SQL, with a strong background in statistical analysis and machine learning. This position offers a competitive salary ranging from £60,000 to £80,000 and various employee benefits.

Benefits

Discretionary annual performance bonus
25 days holiday plus bank holidays
Pension Scheme – 8% total contributions
Learning and Development opportunities

Qualifications

  • 5+ years of data and analytics experience with at least 2 years in team leadership.
  • Strong proficiency in Python and SQL.
  • Good understanding of statistical methods and machine learning techniques.

Responsibilities

  • Lead and develop a team of data analysts.
  • Improve and run advanced Python-based machine learning models.
  • Build and maintain ad-hoc data analysis leveraging Excel, Python or SQL.

Skills

Python
SQL
Team Leadership
Statistical Analysis
A/B Testing

Job description

Job Profile Job Title: Data & Analytics Manager Location: Caerphilly, Sheffield & London, UK Salary: £60,000 to £80,000

Link Financial is one of Europe’s leading servicers of consumer, SME, and leasing credit. Operating across 10 European countries and employing over 300 people in the UK alone, we are a trusted financial services provider to many of the UK’s high street banks, credit card companies, retailers, and other lenders. We purchase consumer and business loans and are committed to delivering high-quality service to both our clients and customers, helping individuals and businesses successfully repay their debts.

We're seeking an experienced Manager to lead our growing Data & Analytics team and drive strategic

data initiatives across the business. Reporting to the UK Managing Director, this is a hands-on

leadership role where you'll combine people management with technical delivery, working at the

intersection of data, analytics, operations and business strategy.

You'll lead a team of analysts while actively contributing to complex data projects, from building

predictive models to delivering executive-level insights that shape our business strategy.

What you’ll do Team Leadership & Development

• Lead and develop a team of data analysts, setting priorities and promoting a high-

performance culture

• Mentor team members and drive their professional growth in data and analytics

• Foster collaboration across the Data & Analytics team and different business stakeholders

Strategic Analytics & Insights

• Improve and run advanced Python-based machine learning models utilised for prediction of

customer engagement

• Apply expertise in quantitative analysis and data mining to understand customer behaviour

and inform strategy

• Guide teams to develop metrics and run impactful A/B experiments

• Partner with senior stakeholders to translate business requirements into technical solutions

Hands-On Technical Delivery

• Build and maintain ad-hoc data analysis leveraging Excel, Python or SQL in accordance with

the task size

• Design scalable data processes to support business operations

• Monitor and evaluate performance of existing models and drive continuous improvement

• Own end-to-end lifecycle of data products from scoping to delivery and iteration

What you’ll bring

• 5+ years of data and analytics experience with at least 2 years in team leadership

• Strong proficiency in Python and SQL

• Good understanding of statistical methods and machine learning techniques with an ability to

create both proactive and reactive analytical solutions to cover all aspects of the data function

with a view on continuous improvement.

• Excellent communication and visualization skills to present findings to diverse audiences

• Proven experience with machine learning models, statistical analysis, and A/B testing

• Strong interpersonal skills with experience engaging senior stakeholders

• Natural problem-solver with ability to see the bigger picture of business processes

• Experience mentoring and developing team members

• Background in financial services or debt purchase

What we offer

• Salary: £60,000.00 to £70,000.00 per annum (depending on experience)

• 25 days holiday + bank holidays (pro-rata for part-time)

• Discretionary annual performance bonus scheme

• Purchase additional holiday scheme of up to 5 days

• Pension Scheme – 8% total pension contributions

• Employee Assistance Programme for you and your family, including virtual GP service, counselling, get fit programmes and more

• Life assurance (4 x annual salary)

• Season Ticket Travel Loans

• Enhanced Maternity and adoption pay

• Friendly atmosphere with modern facilities

• Social events during the year, regularly fundraise for our chosen charities, and recognition schemes in place that reward our employees for being great team members

• Learning and Development opportunities to help you progress in your career Join our team at Link Financial where colleagues share the following values:

Knowledgeable: We are proud to be known as the Credit Management Experts. We are highly experienced and have a reputation for integrity and a history of leadership in our industry.

Considerate: We act in the way that we would like to be treated ourselves - with respect, kindness and trust. Treating our clients, customers and colleagues fairly is central to everything we do.

Resourceful: We don’t waste precious resources. Through collaborative teamwork, we seek new ways to deliver positive outcomes for our clients and customers.

Innovative: We always rise to the challenge. With our positive attitude, creative thinking and advanced technology, we will find the right solution for our clients and customers.

RECRUITMENT PROCESS

1) HR interview

2) Technical test

3) Technical interview

4) MD + head of HR interview

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