Business Analyst, Synthesia
GTM
AI video creation platform
Job no longer available
AI video creation platform
201-500 employees
Job no longer available
201-500 employees
Company mission
To empower everyone to make video content - without cameras, microphones or studios.
Role
Who you are
- Bachelor’s degree in Business, Finance, STEM, or a related field. An advanced degree or MBA is preferred
- 3+ years of experience in management consulting, strategy, or analytics roles focused on data-driven decision-making
- Demonstrated ability to build, operationalize, and iterate on predictive models in a commercial setting
- Proficiency in SQL and advanced analytical tools (e.g., Python, R, Excel)
- Experience with BI platforms (e.g.Looker, Tableau, Power BI) to develop dashboards and visualize model outputs
- Comfortable interpreting complex datasets, designing experiments, and presenting actionable insights to cross-functional teams
- Proven success in influencing senior-level decisions, leading workshops, and facilitating stakeholder discussions
- High emotional intelligence, with the ability to navigate organizational complexities and build trust among diverse teams
- Excellent project management skills, including the ability to oversee multiple concurrent initiatives and deliver impactful solutions on time
What the job involves
- We are seeking a driven, insight-oriented Business Analyst to join our Data & Analytics team
- In this role, you will leverage your strong analytical skills, business acumen, and consulting mindset to tackle high-impact analyses that inform strategic decisions
- A core aspect of this position is designing and developing predictive analytics models that the commercial team will use to guide go-to-market strategies
- You will also oversee the implementation of these models, ensuring they are fully operationalized and deliver tangible growth for Synthesia
- Lead end-to-end analytical projects, from scoping the problem to delivering insights and actionable outputs
- Build, validate, and maintain predictive analytics models (e.g., regression, classification, time-series forecasting) tailored to support commercial initiatives such churn prediction and lead prioritization
- Conduct in-depth root-cause analyses to isolate key drivers behind complex business challenges, and provide recommendations backed by data-driven evidence
- Collaborate closely with the commercial team (Sales, Marketing, Customer Success) to understand their goals and identify how predictive models can address their needs
- Ensure models and dashboards are designed for usability, enabling the commercial team to take immediate, data-informed actions
- Establish clear documentation and training materials so commercial stakeholders can confidently leverage the models in their daily workflows
- Engage with executives and department heads to align on business requirements and articulate how predictive models can drive strategic outcomes
- Transform complex analytics into compelling narratives and interactive visualizations (e.g., BI dashboards) that inspire stakeholder buy-in
- Communicate model outcomes, assumptions, and limitations clearly to both technical and non-technical audiences
- Partner with cross-functional teams (e.g., Product, Marketing, Sales) to deploy and continuously refine predictive models in day-to-day business operations
- Lead change management efforts to ensure adoption of new analytical tools and track the performance of models against key metrics
- Establish iterative feedback loops to enhance model accuracy and relevance based on commercial team insights
Salary benchmarks
Our take
Video is an integral part of companies’ marketing strategies, and the adoption of synthetic media has grown in popularity. As organisations are investing in videos, startups are building platforms to support the process. Synthesia is an AI-powered video generation platform that saves enterprises up to 100x the cost and time of producing a video.
The company leverages deep learning to simulate real videos and real actors without the need for costly infrastructure like camera crews, actors, cameras, studios, and a lengthy post-production process. Synthesia’s first product STUDIO launched in public beta in the summer of 2020 and it is now used by 30,000+ companies, including the BBC, Teleperformance, Amazon, and Reuters.
Notably, Prof. Matthias Niessner, one of the co-founders of the company, is behind some of the most well-recognised research projects in the field Deep Video Portraits and Face2Face. The company's intuitive interface has grown to become the #1 rated video creation platform, proving its strong ability to capitalise on the growing AI in media market – which is estimated to be worth $99.48 Billion by 2030.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Jan 2026
$200m
SERIES E
Apr 2025
$13.2m
LATE VC
Total funding: $550m
Company benefits
- 📍You will work in a hybrid setting with offices London, New York, Copenhagen, Amsterdam, Munich & Zurich!
- 💸 Stock options in our fast-growing Series C start-up
- 🌴 25 days of annual leave + public holidays in the country where you are based
- 🎉 Fun culture with regular socials and company retreats (Portugal, Copenhagen & Barcelona!)
- 🍫 Office snacks and regular tasty lunches!
- 🤑 Generous referral scheme
- 🚀 A huge opportunity for career growth as you’ll help shape a market-defining product
- 🏥 Private Medical Insurance (Medical History Disregarded basis) including mental health support, dental & vision, cashback and gym discounts.
- 🍼 Paid parental leave entitling primary caregivers to 16 weeks of full pay, and secondary 5 weeks of full pay.
- 🧓 Pension contribution/salary sacrifice
- 🚲 Cycle to work scheme (London)
Company HQ
Fitzrovia, London, UK
Leadership
Victor Riparbelli
(Co-Founder & CEO)Experience working on growth and product at Aller Media and Founders. Co-founded Immersive Futures in 2016 and Coincall in 2017.
Steffen Tjerrild
(Co-Founder & COO)Former Investment Manager at Kukula Capital and Business Developer at Founders.
Matthias Niessner
(Co-Founder)Computer science professor at the Technical University Munich.
Lourdes Agapito
(Co-Founder)Professor of 3D Computer Vision at University College London.
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