Principal Business Intelligence Analyst, Cuvva

• Have a solid background in data visualisation, using tools to present complex information in digestible formats for stakeholders
• Have advanced proficiency in Python, SQL, Jupyter Notebooks, and/or Looker or similar tools
• Bring a wealth of experience in Machine Learning (e.g., supervised/unsupervised learning, LLMs) and Data Analytics to drive projects from concept through to production
• Demonstrate advanced data mining, pattern recognition and Clustering skills and techniques to uncover insights and shape strategic initiatives
• Have strong experience in A/B Testing and Experimentation techniques, both Frequentist and Bayesian
• Thrive on cross-functional collaboration, building effective partnerships across teams to translate data into action
• Possess exceptional problem-solving and strategic thinking abilities – you can see the big picture while diving deep into details and know when to disagree and commit and when to challenge
• Have a track record of stakeholder management, being a master at communicating across a variety of mediums with a proactive approach to engaging and aligning with key business goals

Desirable

• We’re in search of a forward thinking and commercially driven Principal Business Intelligence Analyst to join our established team within the Pricing & BI divisions at Cuvva
• In this unique role, you’ll report directly to our Director of Pricing & Data as a senior individual contributor
• While this role is initially focused on your direct individual contributions, there are clear pathways for growth into people management as part of this role's natural progression
• As our newly defined Principal Business Intelligence Analyst, you’ll be at the forefront of our transition from a traditional, analysis-focused approach to an advanced Business Intelligence model
• Leading initiatives to harness complex datasets, you’ll bring together machine learning, Data analytics, and pattern recognition to drive our Business Intelligence strategy and realise Cuvva’s vision
• You’ll work closely with cross-functional teams, becoming a trusted partner to stakeholders in Marketing, Pricing, Finance, Product, Operations, and Customer Experience
• With your natural curiosity and initiative, you’ll champion data-driven discussions, predict trends, offer market and data insights, and proactively coach stakeholders
• You'll identify areas for improvement, suggest solutions, and anticipate new metrics that should be tracked, fostering a culture of insight and informed decision-making across Cuvva
• At Cuvva, we believe in fostering diverse skill sets and experiences. That’s why we use the titles “Analyst” and “Scientist” interchangeably
• This role is titled Principal Business Intelligence Analyst but may be well-suited to candidates with experience as Business Intelligence Scientists or Data Scientists
• If you have the expertise and drive for high-impact work in this space, we encourage you to apply
• Developing and deploying advanced machine learning models, with a focus on applying clustering algorithms, data mining, and pattern recognition techniques
• Partnering with key stakeholders to define metrics, validate KPIs, and deliver data-driven insights that inform decision-making at all levels, with a key focus on C-Suite stakeholder management and engagement
• Working collaboratively with the wider team to enhance our data infrastructure and streamline access to accurate, timely insights across Cuvva
• Leading the design, implementation, and maintenance of business intelligence dashboards, ensuring they’re aligned with strategic goals and provide actionable insights
• Performing advanced data analytics, leveraging technologies like Python, SQL, and Looker, to support reporting, performance tracking, and A/B testing
• Conducting data discovery in collaboration with Marketing, Pricing, Finance, Product, Operations and Customer experience teams, translating complex analyses into clear, impactful recommendations for improving customer experiences and driving commercial success
• Acting as a subject matter expert for large language models (LLMs) and other machine learning techniques, advising on their integration and potential in real-world applications
• Mentoring junior analysts and team members, setting best practices, and promoting a data-driven culture across the business

• Initial chat with our Director of Pricing & Data - 60 minutes
• Take-home task sent to you with a task-brief
• Take-home task interview with our team - 90 minutes
• Key stakeholder check-in with our CCO - 30 minutes
• Founders chat with our Founder & CEO - 20 minutes