Senior Web Analyst, Algolia

• 7+ years' experience working in ecommerce in the capacity of a data/business analyst
• 5+ years' experience collaborating with cross-functional teams, such as sales, customers success managers, solution engineers & architects, data scientists, product managers, partners and customers
• 2+ years' experience with search relevance and ranking optimization
• Experience with web analytics and A/B testing, ideally in an ecommerce context
• Strong analytic skills working with structured and unstructured datasets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong business mindset and the ability to articulate concepts clearly to various stakeholders with both technical and business background
• Growth mindset with a strong drive to learn, take ownership, and promote a culture of continuous improvement and learning
• GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment
• TRUST - Willingness to trust our co-workers and to take ownership
• CANDOR - Ability to receive and give constructive feedback
• CARE - Genuine care about other team members, our clients and the decisions we make in the company
• HUMILITY - Aptitude for learning from others, putting ego aside
• We’re looking for talented, passionate people to build the world’s best search & discovery technology
• As an ownership-driven company, we seek team members who thrive within an environment based on autonomy and diversity

Desirable

• We are seeking an experienced Senior Web Analyst to join our Professional Services Org in the Business Strategy and Optimization Services team
• The team collaborates with customers throughout their journey with Algolia from pre-sales to post-sales and renewal
• It serves as trusted advisors who understand customers' business challenges, configure the right solutions, and optimize for search performance indicators (i.e., CTR, CVR) and ultimately business results (i.e., AOV, CLV, revenue)
• Analyzing 1st party and 3rd party analytics and A/B test data to make judgements about search & discovery performance including query spectrum coverage (i. e., head vs long-tail), result-set relevance and ranking efficiency
• Working with large customers to improve AI feature adoption, expansion and renewal rates through the application of search performance data assessments
• Tying this performance data to business outcomes and telling a clear and compelling story, tailored to each customer’s maturity level on their search & discovery journey
• Delivering ROI analyses for prospective and existing customers to inform business cases for AI feature adoption, contract renewal decisions and engineering resource allocation
• Analyzing and optimizing core ranking and AI feature configuration
• Identifying and advising customers on the areas where they should focus their efforts to get the most out of Algolia’s AI Search platform
• Developing and sharing thought leadership with fellow colleagues in our Pre-sales and Customer Success teams