Analytics Lead

Role Overview

• Lead the development and implementation of client intelligence solutions, predictive models and insight generation capabilities.
• Translate complex data sets into commercial insights that power decision-making for both internal stakeholders and clients.
• Design and implement predictive models that enhance event performance, client satisfaction and revenue forecasting.
• Develop approaches that transform event performance data into actionable insights.
• Apply statistical modelling, machine learning techniques and data visualization to solve complex business challenges.
• Lead the design and execution of experiment design and A/B testing to optimize performance.
• Build and implement sophisticated analytical models that deliver against FIRST’s strategic objectives of productivity improvement and revenue generation.
• Create compelling data narratives that communicate insights effectively to both technical and non-technical audiences.
• Contribute to the transformation of FIRST's operating model through AI and data capabilities.
• Work with cross-functional teams to establish metrics, KPIs and robust measurement approaches.
• Support the development of AI-powered products and services that create differentiated client value.
• Partner with business units to define metrics that align with strategic objectives.

Requirements

• Position requires 5-8 years of experience
• Advanced degree in Statistics, Data Science, Mathematics, Computer Science or related quantitative field.
• Expert proficiency in Python and/or R for statistical modelling and data analysis.
• Strong understanding of business processes and how to apply analytics to improve them.
• Experience with machine learning techniques and their practical applications in business settings.
• Proven ability to build statistical models, perform advanced analysis, and generate meaningful insights.
• Exceptional business storytelling ability with a focus on translating complex data findings into clear, actionable recommendations.
• Demonstrated skill in consulting with business units to define metrics and KPIs.
• Strategic mindset with the ability to connect analytics work to business outcomes and revenue generation.
• Experience working with cross-functional teams and influencing decisions through data-driven insights.
• 5+ years of experience in analytics, business intelligence or data science roles.
• Experience in consulting, marketing, or professional services environments is beneficial.
• Track record of successfully implementing analytics solutions that drive measurable business impact.
• Strategic analytical thinker with exceptional problem-solving abilities.
• Strong business storytelling skills and ability to communicate complex concepts clearly.
• Results-oriented with focus on delivering measurable business impact.
• Collaborative team player who builds strong relationships across functions.
• Intellectually curious with passion for exploring new analytical approaches.
• Rigorous attention to detail while maintaining a big picture perspective.
• Client-centric mindset that aligns analytics work with customer value.
• Adaptable to changing requirements and business priorities.
• Committed to ethical data practices and responsible analytics.

Tech Stack

• Python

Benefits

• Medical, Dental & Vision which includes the option of a high deductible health plan (HDHP) with a health savings account (HSA)
• 401 (k)
• Five Flexible Spending Accounts Options
• Generous Paid Time Off Allowance
• Employee Assistance Program (EAP)
• Life, Disability & Pet Coverages
• Wellness Stipend
• Complimentary access to Headspace, Teladoc, Maven, Rocket Lawyer, Mobilo & more
• Aura Identity Theft Protection
• Discretionary Bonus Structure
• Global Opportunities: With a presence in 7 countries worldwide, including headquarters in London, New York, and Singapore, you may have the opportunity to work on exciting projects across different locations.