Data Analytics Lead

Responsibilities

Data Strategy & Leadership:
Lead the analytics strategy for the Acquisition Tribe, ensuring that data insights drive performance improvements in customer acquisition. Develop and manage KPIs to measure the effectiveness of acquisition campaigns, digital channels, and growth initiatives. Collaborate with growth marketing, product, and business development teams to influence strategies that maximise user acquisition and customer growth.
Individual Contribution (IC) Work:
Conduct hands-on analysis of acquisition funnels, user behaviour, and marketing performance, identifying growth levers to improve customer acquisition rates. Build and maintain dashboards, reports, and visualisations that provide actionable insights on campaign performance, cost per acquisition (CPA), lifetime value (LTV), and return on investment (ROI). Design and execute A/B tests to experiment with acquisition strategies, including landing pages, messaging, and pricing models.
Team Leadership & Development:
Lead and mentor a team of data analysts focused on acquisition, supporting their professional development and ensuring high-quality, timely analysis. Balance IC responsibilities with managerial duties, ensuring the team delivers impactful insights while personally contributing to high-priority projects. Foster a culture of collaboration, data-driven decision-making, and experimentation.
Data-Driven Optimization:
Analyse user acquisition channels (paid media, organic search, social, referrals, partnerships) to optimise performance, drive growth, and reduce CPA. Partner with the growth marketing team to optimise spend, improve targeting strategies, and develop new customer segments for acquisition. Work closely with data engineers and data scientists to ensure accurate data collection, tracking, and reporting across the acquisition funnel. Cross-Functional Collaboration:
Collaborate with the product team to optimise landing pages, onboarding experiences, and user flows that maximise conversion rates. Present insights and rmendations to senior leadership, influencing strategic decisions on customer acquisition and growth strategies. Partner with finance and other business units to assess the impact of acquisition efforts on overall business metrics and profitability.
Innovation & Continuous Improvement:
Stay up-to-date on the latest tools, technologies, and best practices in customer acquisition analytics. Continuously identify opportunities for improving data processes, experimentation, and analysis techniques to stay ahead in a fast-moving industry.
Qualifications

Experience:
6+ years in data analytics, with a focus on customer acquisition, growth marketing, or digital performance marketing. Proven experience leading data teams in a fast-growing, data-driven environment, ideally within a scale-up or techpany. Experience analysing multi-channel acquisition strategies, including paid search, social media, SEO, email, and partnerships.
Technical Skills:
Proficiency in SQL for data analysis. Hands-on experience with data visualisation tools like Looker. Experience with dbt for data transformations. Familiarity with cloud data warehouses (, Snowflake) and marketing analytics platforms. Understanding of statistical models, attribution, and lifetime value (LTV) calculation methods. Python (Nice to Have): While not essential, knowledge of Python or R for advanced analytics is a plus.
Soft Skills:
Strong leadership,munication, and stakeholder management skills. Ability to thrive in a fast-paced, collaborative environment, with strong multitasking and prioritisation abilities. A data-driven problem solver with an entrepreneurial mindset and a passion for customer acquisition.
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