Growth Leads is an online lead generation company that creates quality leads in highly competitive verticals, such as iGaming, Financials, Health and Communications. We focus on building high-end websites with quality content that let customers make an informed decision about the product they’re about to buy or sign-up to. We pride ourselves on adopting a customer-focused approach to quality and usability.
About the role
We are looking for an experienced Data Analyst who is motivated to take on an amazing new adventure: developing and maintaining data analysis structures and derive actionable recommendations to boost company revenue.
What you'll do
- Monitor, analyze, and report on the performance of our different acquisition channels.
- Develop and maintain dashboards to track key metrics such as traffic sources, conversion rates, lifetime values.
- Design and implement data strategies to optimize our marketing efforts.
- Translate complex datasets into actionable insights to guide marketing decisions and growth initiatives.
- Analyze user journeys to assess the potentials for optimization for our acquisition channels
- Design and analyze A/B tests for landing pages, offers, and affiliate traffic strategies.
- Develop predictive models to forecast traffic, conversion, and revenue outcomes across affiliate segments.
- Ensure the accuracy, integrity, and consistency of affiliate marketing data by working closely with engineering and product teams.
- Define and enforce data collection standards and best practices.
- Communicate findings and recommendations clearly to non-technical stakeholders.
- Work with tools such as SQL, Python/R, Google Analytics, Looker/Tableau
- Identify reporting issues through anomaly detection and behavioral analysis.
- Share best practices and help foster a data-driven culture.
What we're looking for
- 5+ years of experience in data analytics, ideally with 2+ years specifically in performance or affiliate marketing analytics.
- Proficiency in SQL: Strong ability to query large datasets across multiple tables and optimize complex joins.
- Experience with Analytical Tools: Hands-on experience with data visualization and BI platforms (e.g., Looker, Tableau, Power BI).
- Statistical Programming: Working knowledge of Python or R for advanced analytics, data wrangling, and automation.
- A/B Testing & Experimentation: Experience designing, executing, and analyzing split tests with an understanding of statistical significance.
- Data Modeling & Forecasting: Ability to create predictive models and perform regression, cohort, and lifetime value analysis.
- Deep knowledge of affiliate channels, performance marketing KPIs, attribution models, and conversion funnels is a plus