eCommerce Analytics Specialist

at  Pandora Jewelry

ABOUT PANDORA

The largest jewellery company in the world, we give a voice to millions of people’s loves every day. We sell three pieces of our hand-crafted jewellery every second and have the largest network in the industry, with almost 7,000 points of sale around the globe and a strong online business.
Launching in Australia in 2004, Pandora Australia New Zealand (ANZ) has since become the fourth largest market for the Danish jewellery house with 146 stores across the ANZ network, 130 employees in corporate and over 600 employees in retail.
We pursue sustainability in everything we do and have set ambitious and measurable targets across every touchpoint of our business, from sourcing through to the materials we use and the marketing of our products.

OUR PEOPLE

Our global workforce is made up of over 33,000 passionate people who, in 2023, helped Pandora record the highest earnings to date, led by a refreshed long-term growth strategy. The pace of our progress has created an energising, ambitious culture where we are empowered to be ourselves and equipped to deliver our very best.
As we continue to grow, we also continue to invest in our talent. We’re looking for people who share our values and can help us bring our ambitions to life.

PIVOTAL AND PROFESSIONAL QUALIFICATIONS:

• Minimum 3-5 years Data Analyst experience
• Strong problem-solving and critical thinking skills to analyse data and drive strategic decisions.
• Ability to leverage data-driven insights to inform and drive strategic decision-making within a dynamic business environment.
• Exceptional ability to engage with, influence and support stakeholders and the ability to convey technical ideas to relevant business stakeholders.
• Understanding of A/B testing and reporting, best practices of testing, optimisation and drivers of online conversion.
• Demonstrated data analysis experience with statistical analysis techniques using relevant software (e.g., R, Python, SQL).
• Experience integrating data sources and designing Power BI reports using APIs, JSON, and XML.
• Strong technical skills around SQL, Excel, PowerBI & Tableau.
• Strong knowledge of Digital Analytics (Adobe Analytics Contentsquare, Bloomreach, etc) and A/B testing tools (Monetate preferred), HTML, CSS, some JS.
• Proactive, organised & driven, a self-starter, able to quickly learn, adapt, and synthesize data to determine next steps in a high-performing work environment.
• Experience in budget forecasting preferably within an FMCG or Retail environment.
• Experience in eCommerce, Optimisation, Customer and User Experience.
• Previous experience working in omnichannel required.
• Proficient in digital analytics tagging and implementation to ensure accurate data collection and reporting.
• Knowledge of CMS, SFCC, Jira, Confluence and Project Management Tools.

PERSONAL COMPETENCIES

• Excellent communication & story-telling skills – can present data in a way that’s engaging and easy to understand
• Analytical and decisive in nature with high intellectual curiosity with ability to develop new knowledge and skills.
• High attention to detail, comfortable working with large datasets.
• Proven ability to turn raw data into actionable recommendations that drive business outcome while remaining commercially focused.
• Understanding of key elements that impact digital eCommerce e.g, customer journey management, website personalisation, online merchandising, A/B and multivariant testing, customer segmentation, basket abandonment and competitor benchmarking.
  If you are looking for a new challenge and feel you have the relevant skills then don’t miss out! Please click apply to submit your application.
  Pandora’s recruitment procedures are designed to be transparent and clear for all candidates.
  This helps us ensure that applicants are provided with a fair and equal opportunity to demonstrate their competencies and skills by removing blocking factors, possible biases, and risks of discrimination. We encourage everyone applying to our vacancies to refrain from adding identity-related elements such as a photo, marital status and age.
  *If you require reasonable adjustments in place during your interview(s), please make us aware as soon as possible

The role is responsible for owning, assessing, translating and executing data opportunities for the eCommerce and CX team using in-depth data analysis. The role is also responsible for building and automating reports while supporting the Personalisation and Optimisation Manager and the wider Ecommerce team.