eCommerce Analytics Specialist

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.

Why work with us?

Our people are an integral part of our success. Our commitment to unforgettable career progression is just the start. We offer a competitive rewards package that is second to none.

Our generous benefits package includes:

• North Sydney Office – 3 days in the office, 2 days working remotely
• 60% off staff discount
• Team ‘diamond days’ to connect outside of the office
• Growth opportunities and career planning
• Subsidised comprehensive healthcare cover with BUPA
• Novated leasing
• Generous STIP bonus
• A day off on your birthday and birthday voucher
• Comprehensive individual wellness support

Main Purpose of the role:

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. 

Key Accountabilities:

Data Mastery

• Collect, clean, and transform complex data from various sources to ensure data accuracy and consistency.
• Work across large data sets, producing detailed reports and dashboards that offer key insights into performance.
• Use platforms like Adobe, Bloomreach and Salesforce for data extraction, while helping transition to PowerBI for enhanced reporting integrating multiple data sources.
• Design, automate and maintain dashboards to track key metrics such as revenue and profitability.
• Create compelling and clear visualisations and dashboards to effectively communicate complex data and trends to key stakeholders.
• Consolidate multiple data sources and analysing patterns, trends, anomalies, and root causes.
• Identify opportunities for improvement within eCommerce and CX and providing actionable insights.
• Collaborate closely with the ecommerce team to collect key insights from data and design impactful A/B tests aimed at minimizing friction points in the customer journey, enhancing the user experience and driving improvements across KPIs
• Support the Ecommerce team identifying and setting up personalization experiences in order to optimize customers’ journey, collaborating with the Global CRO team on UX/UI initiatives

Forecasting 

• Build and implement advanced budget forecasting models using LFL, statistical and machine learning techniques.

Customer Insights

• Analyse customer’s purchase, onsite and offsite behaviour data to identify opportunities and uncover optimisation strategies.
• Analyse model performance, interpret results, and communicate actionable insights to key stakeholders.
• Analyse and synthesize customer data from multiple cross-channel sources for CX team (web, email, voice) using established analytical tools.

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*