Senior Business Analyst / 3 days on site

About us:

Gett are on a mission to organise all the best mobility providers on one platform, optimising the entire ground travel experience (for B2C and B2B) and offer the ultimate SaaS solution with a unique ability to consolidate any collection of vendors, in-country and globally, on a single booking platform. We are solving a problem that many corporations ignore – unmanaged, out of control, hidden spending and extensive costs, as a result of ground transportation.

Gett understands the challenges businesses face. We take pride in delivering frictionless products for all our customers. We are the people you can rely on when you need to move with confidence, whether you are going places for yourself, for your business, as a traveller or driver or as a partner.

We are very local. We integrate with the existing fabric of the places where we operate: we work hand-in-hand with the local taxis and fleets to provide the best possible service customers can get, where it matters the most.

About the role:

In this specific role, you will act as a Senior Business Analyst who is the technical catalyst within our Analytics and Insights team. We have already established a strong foundation in advanced predictive analytics; your mission is to work alongside your peers to expand this landscape, optimizing our existing machine learning models and pioneering new ones.

This role is designed for a high-level technical expert who thrives on collaborative empowerment. You will work in the trenches with our talented team to navigate complex technical hurdles, introduce modern engineering practices, but also leading by example in delivering deep-dive analysis and high-impact dashboards.

Responsibilities:

• Hands-on Analysis & Visualization: Lead by example by conducting complex data analysis and building sophisticated dashboards that provide clarity to the business. You will demonstrate how to blend traditional BI with advanced statistical outputs.
• Advancing the ML Ecosystem: Take ownership of our current predictive models and lead the expansion of our machine learning roadmap. You will ensure our models remain robust, scalable, and aligned with evolving business needs.
• Technical Peer Mentorship: Act as the "go-to" technical resource. You will empower your colleagues by sharing expertise in Python and advanced statistics.
• Stakeholder Consultancy: Work as a technical bridge between the Analytics and Insights team and stakeholders in Sales, Finance, Marketing, Marketplace etc. ensuring our data products are translated into strategic business wins.

Requirements:

• 2+ years of relevant experience in a business analyst / data analyst / insight analyst /statistical analysis role
• You have deep experience in the machine learning lifecycle and are comfortable "getting under the hood" of complex datasets to drive performance.
• You are passionate about raising the bar for those around you. You enjoy seeing your teammates succeed and take pride in fostering a culture of continuous technical learning.
• You prefer solving high-level technical puzzles and architectural challenges, and you are energized by the prospect of refining workflows to reach peak efficiency.
• Strong communication and interpersonal skills to translate key insights from complex analyses into actionable business insights
• Excellent business judgment, strong written and oral communication skills, and a pragmatic approach to getting things done
• Project management - demonstrated full ownership of managing and implementing both technical and non-technical projects.
• Preferably a degree in Mathematics, Statistics, Data Science, Computer Science, Economics or Business.

Technical:

• Expertise in SQL and experience with modern BI tools (e.g. Tableau, PowerBI, Looker).
• Strong proficiency in Python for data science and machine learning (e.g. XGBoost, Random Forest Regressor, Stacking Regressor etc.).
• Experience with Git and the modern data stack
• Deep understanding of the Machine Learning lifecycle, from data preparation to model monitoring.
• Proven problem solving skills, project management, attention to detail, and exceptional organizational skills
• Proven analytical and quantitative skills and an ability to use hard data and metrics to back up assumptions and develop business cases

Behavioural:

• Ability to operate in an agile way, in a fast-paced and ambiguous environment
• You are happy to be humble, open to new ways of working and to seeking guidance, but you take ownership and are driven by quality in every single thing you do.
• Confident dealing with and resolving complex queries and quantitative business investigations supported by data
• Demonstrated ability to operate both strategically and tactically in a high-energy environment
• Sharing feedback in all directions - up, down, and sideways. Ability and comfort in constructively reviewing current methods and service delivery strategy.
• Self-motivated and ability to work with minimal supervision
• Ability to stay positive and motivate everyone around you

Here’s what you Gett:

• Hybrid working with offices in Holborn
• 25 days holiday a year + bank holidays + a day off in your birthday month + 2 volunteer days - PLUS one extra Friday off every month
• Taxi Credit (obviously!)
• £300 Home Working Environment Allowance
• Pension Scheme
• Private Medical Cover
• Health related cash plan
• Life Insurance
• Employee Assistance Programme
• Discounted Gym membership

Come As You Are!

At Gett, we believe that you do your best work when you bring your whole self to work. And a diverse team is a strong team! Gett is therefore committed to creating an inclusive work environment and all employment is decided on the basis of qualifications, merit, fit and business need without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Please let us know if you have any accessibility requirements for your candidate journey with us. If a disability prevents you from applying online, please send your CV to: [email protected]

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