About The Team
We are seeking a highly skilled and motivated BI Lead to drive the development and optimisation of our business intelligence strategy, with a specific focus on the buyer-facing e-commerce experience. The BI Lead will oversee data analysis, reporting, and visualization efforts, working closely with cross-functional teams to deliver actionable insights that influence decision-making and product strategy. The ideal candidate is a strategic thinker with a passion for turning complex data into insights that enhance the customer journey. You will play a pivotal role in empowering product and business leaders to make informed, data-backed decisions that drive user engagement, conversion, and growth.
Job Description
- Team Leadership & Mentorship: Lead, manage, and mentor a team of BI analysts, fostering a collaborative and high-performance environment. Provide guidance on best practices, technical skills, and career development.
- Product Analytics & Experimentation: Lead the design, execution, and analysis of A/B tests for new buyer-facing features. Deliver clear insights on their impact to key top-line and bottom-line metrics, providing data-driven recommendations for product iteration.
- BI Strategy & Roadmap: Develop and execute a comprehensive BI strategy that aligns with product and business objectives. Define the roadmap for analytics projects and platforms to support the optimization of the buyer experience.
- Stakeholder Management: Collaborate with product managers, designers, and engineers to understand their data needs, gather requirements, and deliver insights that inform the product development lifecycle.
- Dashboarding & Visualization: Oversee the design, development, and maintenance of insightful and user-friendly dashboards and reports using tools like Tableau, focusing on key product and user behavior metrics.
- Advanced Predictive Analytics: Drive the adoption of advanced analytics to identify key business trends and opportunities. Key responsibilities include:
- Developing and refining models to accurately predict Customer Lifetime Value (CLV) under different scenarios.
- Analyzing and modeling how different promotion mechanics influence predicted buyer conversion and purchasing behavior.
- Data Governance & Quality: Establish and enforce data governance policies and standards to ensure data quality, consistency, and security across all BI solutions.
Requirements
- Bachelor's degree or higher in Computer Science, Information Systems, Statistics, Business Analytics, or any related fields
- 7 years of experience in Business Intelligence, data analytics, or product analytics.
- 3 years of proven experience in a leadership or management capacity, successfully leading a BI or analytics team with 10 or more members
- Strong domain expertise in the e-commerce industry
- Expert-level proficiency in SQL for complex querying and data manipulation.
- Proven experience designing, executing, and analyzing large-scale A/B tests to measure impact on business metrics.
- Experience with modeling Customer Lifetime Value (CLV) and its application to business strategy
- Strong ability to analyze and model the impact of various promotional mechanics on user conversion and behavior.
- Extensive hands-on experience with major BI platforms (e.g. Tableau).
- Experience with a programming language like Python or R for data analysis is a strong plus.
- Excellent communication and presentation skills, with the ability to articulate complex analytical findings to non-technical stakeholders.
- Strong analytical and problem-solving abilities with a keen attention to detail.
- Proven business acumen and the ability to translate business challenges into data-driven solutions.
- Excellent project management and organizational skills.
