Data Analyst (Remote)

Job Description

About you:

You’ll be working with a diverse mix of creative, curious and smart people who really care about making a difference for our customers. You will have a mind for getting things done and a heart for people and you will set the bar high through the quality of the work you do. You’ll have a technical mind that lives in the data and is able to extract meaningful insights (ideally from an advertising technology background). You’ll be able to live in both worlds (a technical and a commercial world) with key skills in storytelling.

About the Role:

It’s an exciting environment where no two days are the same. But on a typical day you might find yourself:

• Sourcing, identifying, and drawing conclusion from raw data
• Working closely with the relevant business stakeholders to identify various business intelligence and analysis needs to support the decision making within the relevant functional domain
• Intercepting business ideas/questions/concerns - translating them to the hypothesis, identifying the required data points for hypothesis assessment, retrieving required data from the database, conducting the analysis, circulating back to the business the findings and related business actions
• Asking probing questions to ensure the business problem and the analysis requirement is clearly defined
• Developing, updating, and automating reports and dashboards using the visualisation tool i.e. Domo, and ensuring data quality, data integrity, and the provisioning of clean and accurate data
• Working with our Network Sales and Retail Sales teams to analyse the data to spot trends or patterns, and use the analytical skills to find correlations in complex data sets
• Working with stakeholders and direct teams (across our Network Sales and Retail Sales teams) to define their requirements and build data assets
• Helping the analytics team enable self-service reporting & analytics capabilities across the organisation
• Working closely with BI Developers to design, build and deploy data models for business consumption
• Supporting the deployment of standard Data Assets & tools
• Enabling the organisation to realise value with Data and Analytics
• Defining business requirements by analysing the problem, facilitate workshops, and assist in defining solution
• Performing complex ad hoc data analysis to validate requirements and to present information and findings to the business
• Developing insights and reports to drive increased value to our retailers and brands
• Working with the broader Data & Analytics team to design, build and deploy the self-service data assets
• Leveraging domain knowledge of data lakes, data warehouses, reporting and BI solution and architecture to develop fit for purpose data assets
• Providing ongoing support the business teams to ensure re-use of developed assets and alignment of new requirements to the defined data architecture and self-service capabilities
• Setting standards and procedures to enable self-service data and features to pass through the complete data/analytics lifecycle, from prototyping through to automation and production at scale
• Delivering the technical solution to integrate data assets into a streamlined business insights platform to support our objective of a data-driven organisation;
• Be involved in data stewardship.

What you will have:

• Strong in senior client engagement and aligning reporting and analytics solutions to business needs
• Excellent communication skills, both verbal and written
• 5+ years’ experience in BI, Data Analyst or Insights Analytics roles
• Experience with data warehouses and dimensional modelling, in particular building effective presentation layers
• Proven expertise supporting the ecommerce business and working with very large and complex data
• Understanding and experience of ETL and data structures, data modelling e.g. data warehousing, and data marts
• Proven experience in using analytics to obtain insights and drive recommendation to make actions to improve and optimise business process and solve the business problem
• Highly proficient with SQL with the ability to write very complex SQL
• Advanced in BI visualisation tools such as Domo or Tableau is essential
• Strong analytical mindset and skills - A/B testing, regression, hypothesis testing
• Demonstrated stakeholder management and communication skills to translate analytical solution outcomes in the context of business impacts and benefits to a non-technical audience.
• Statistical programming language like Python or R is a plus

What we offer in return:

• Develop your skills with support from a skilled and approachable team
• Opp