About the Role
As a Revenue Insights Analyst, you will analyze complex data sets to uncover actionable insights and growth opportunities, driving revenue and supporting strategic initiatives with data-driven guidance. Your work will directly impact business outcomes, helping the company stay competitive and agile.
Responsibilities
- Conduct deep-dive analyses of revenue streams, customer behaviours, and market trends to identify key drivers of growth and potential areas of improvement.
- Use statistical and analytical techniques to build models that predict revenue trends and pinpoint growth opportunities.
- Regularly monitor and report on key revenue metrics, providing insights on variances and performance.
- Translate insights into actionable strategies that align with organisational goals, driving revenue growth across multiple channels.
- Identify, design, and recommend improvements to pricing, marketing, sales, and customer experience initiatives based on data findings.
- Collaborate with Sales, Marketing, and Product teams to develop data-backed strategies that target customer acquisition, retention, and lifetime value optimisation.
- Create and present reports and dashboards that provide clear visibility into revenue performance and growth opportunities.
- Deliver insights and recommendations to stakeholders, making complex data accessible and actionable.
- Regularly update leadership on emerging trends, risks, and areas of opportunity for revenue optimisation.
- Stay up-to-date on industry best practices and data analysis techniques to refine the approach to revenue insights.
- Proactively identify and propose new data sources, tools, and methodologies to improve analytical accuracy and relevance.
- Work closely with data engineers and IT to ensure data quality and integrity.
Requirements
- 3+ years of experience in a similar role, focusing on data analysis, business intelligence, or revenue optimisation.
- Proven ability to turn data insights into strategic recommendations that drive revenue growth.
- Experience with A/B testing and reporting.
- Excellent communication and presentation skills, with a knack for making data accessible to non-technical stakeholders.
- Strong analytical skills with proficiency in data analysis tools like SQL, Python, R, or similar.
- Experience with data visualisation tools (e.g., Tableau, Power BI) to create compelling and actionable insights.
- Familiarity with CRM, financial forecasting, and business intelligence tools is a plus.
- Experience with the use of AI and / or Machine Learning to optimise outcomes is a benefit.
- Fluent / native-level (C1+) English language skills.
Skills
- Data Analysis
- Business Intelligence
- Revenue Optimisation
- A/B testing
- SQL
- Python
- R
- Tableau
- Power BI
- CRM
- Financial Forecasting
- Business Intelligence Tools
- AI
- Machine Learning
Location
- Remote
Work Type
- Remote
- Hybrid
Experience Level
- 3+ years
Education Level
- Bachelor’s degree in Business, Economics, Statistics, Data Science, or a related field (advantageous, non essential)
Benefits
- Flexi-Week (four-day week at full pay)
- No reduction to annual holiday allowance
- Variety of different paid special leaves
- Monthly remote working allowance
- Support for remote workspace setup
- International culture
- Flexi-Office
- Extensive training suite (Awin Academy)
About the Company
- Established in 2000, Awin has a dynamic, social, and inclusive culture.
- Awin nurtures its culture in a virtual environment through its virtual ‘Life @ Awin’ hub.
- Diversity & Inclusion are paramount; Awin champions uniqueness and authenticity.
- Awin is part of the Axel Springer group.
Equal Opportunity
- Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members.
- We champion uniqueness and authenticity; this is who we are at our core.
- Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem.
- We welcome all backgrounds, identities, and experiences.
- If you need support at any point in the application or interview process, please let us know.
