Graduate PPC Data Analyst

Kite Packaging Ltd; Coventry; Hybrid; GBP 26,000 - 38,000; Full time

Benefits offered by this job

22 days annual leave (increasing to 25

Life insurance

Company pension scheme

Cycle to Work scheme

Private healthcare (optional)

Job summary

Kite Packaging Ltd. in Coventry seeks a motivated Graduate PPC Data Analyst to join its ecommerce division and support the paid advertising program.

You will work with the PPC lead to learn and apply best practices, developing reporting and analysis tools that drive better ROI across Google Ads, Microsoft Ads and emerging platforms. Ideal candidates have a numerically focused degree, strong analytical instincts and a keen interest in technology, data and business outcomes.

Qualifications

• Minimum 2:1 in a numerically focused degree.
• Strong interest in data, technology and business decisions.
• Ability to investigate data, find trends and provide recommendations.

Responsibilities

• Support day-to-day management and analysis of paid advertising activity.
• Identify opportunities to improve ROI and suggest PPC optimisations.
• Collaborate with PPC lead and analytics teams to build reporting and insights.

Skills

Analytical mindset

Data analysis

2:1 degree

Education

2:1 in numerically focused degree

Tools

Google Ads

Microsoft Ads

ChatGPT Ads

Job description

Want to become a Graduate Pay-Per-Click (PPC) Data Analyst in one of the UK’s leading and fastest growing B2B packaging suppliers? Kite Packaging is an employee-owned business with ferociously ambitious growth plans. We operate the UK’s largest packaging ecommerce website.

You will be joining an established, profitable, growing technology-backed business and will be part of an industry leading team. This is an opportunity for a highly motivated individual who wants to develop skills in data analytics and digital marketing and learn from some of the best people in the business.

As a Graduate PPC Data Analyst working in Kite Packaging’s ecommerce division in Coventry, you will work at the forefront of Kite’s ecommerce activity. Kite’s marketing, analytics and technical teams foster a culture of shared experience and work in a collaborative, like-minded team environment.

You will be responsible for supporting the day-to-day management and analysis of our paid advertising activity, identifying areas to increase Kite’s return on investment and proposing changes to our PPC approach. You will work alongside our PPC lead who will provide guidance and mentorship enabling you to keep on top of the latest developments in digital advertising, including AI-powered advertising and automation across platforms such as Google, Microsoft and ChatGPT, as well as emerging advertising platforms.

You will be expected to develop commercial understanding alongside the management of the PPC account. PPC advertising is only effective if the product range, the price, and the user experience are all working together. Therefore, you will work closely with the product, commercial and analytics areas of the business, using advertising and customer data to identify opportunities and deliver tangible business outcomes.

The ideal candidate is someone with an eye for detail and process, with the curiosity to dive deeply into PPC and keep on top of changes in the industry. They are not expected to have existing knowledge of PPC advertising and will be given the support and opportunity to develop these skills. We are instead looking for someone who can demonstrate an ability to learn independently and apply that learning in practice, showing the potential to develop into a highly skilled PPC data analyst.

The areas that you will be exposed to includes:

• Website and sales analysis
• Pricing and commercial analysis
• Performance reporting
• PPC management (Google Ads, Google Shopping, Microsoft Ads and ChatGPT Ads)
• Search engine optimisation
• Competitor analysis
• Building reporting and analysis tools
• Advertising measurement and conversion tracking
• Testing and experimentation

Key Skills and Operational Requirements

The successful candidate will have the following:

• A minimum 2:1 in a numerically or analytically focused degree, e.g. Maths, Data Analytics, Economics or similar
• A strong passion and aptitude for technology, data & business – using data to make decisions
• Ability to investigate data, find trends, evaluate performance, and provide insightful recommendations

What you'll get:

• 22 days annual leave, increasing by one day per year (up to 25), with the option to buy/sell up to 3 days
• Great opportunities for career progression if you have the right mindset
• After 6 months:
  • Life insurance
  • Company pension scheme
  • Cycle to Work scheme
  • Optional private healthcare scheme
• The option to become a shareholder in the business after 6 months employment