Data Analyst – Client Strategy

Job Description

CitrusAd provides e-commerce retailers with a SaaS digital advertising platform that unleashes the potential of an online shelf space. Through its white-label Retail Media Platform, CitrusAd empowers retailers to monetize their site traffic using personalized advertisement solutions including Sponsored Product listings, Responsive Display Banners, Email advertising, Branded Landing pages, and much more.

At CitrusAd we strive for simplicity, ease and transparency in all we do so that we can deliver outstanding value back to our retailers and brands. Our IT team is on a journey to position our CitrusAd at the forefront of technological advancement - as such we are on the hunt for an Insights Analyst for our growing analytics team.

As an Insights Analyst you’ll be the go-to for providing clear and comprehensive market analysis; and interpretation of key drivers in the US region. You’ll have a choice of being either based in our Tampa (Florida) or Los Angeles (California) office.

You'll be supporting both our Network Sales and Retailer Sales teams to drive insights back to our customers (retailers, brands and suppliers). As such we require a strategic, analytical and results focussed professional who is developing their career towards being seen as the market industry expert to all associated internal and external stakeholders. Your ability to be able to communicate and 'tell a story' with the data is just as important as your technical ability.

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