Lead Commercial Analyst

Analytics & Data Science – Analytics /
Full-time /
About Fresha

Fresha is the leading marketplace platform for beauty & wellness trusted by millions of consumers and businesses worldwide.

Fresha is used by 110,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date

The company is headquartered in London, United Kingdom, with global offices located in New York City, Vancouver, Sydney, Dubai, Riyadh, Amsterdam, Warsaw and Pristina.

Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive subscription-free business software and financial technology solutions.

Fresha’s ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management.

The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram, Facebook and Google.

Role overview:

As the Lead Commercial Analyst, you will lead our data analytics efforts working with the Global Commercial teams, with a particular emphasis on supporting and driving partner, monetisation and revenue growth. Leveraging advanced analytics, machine learning, and data-driven insights, you will play a pivotal role in shaping our commercial strategy, optimising operations, and enhancing partner experiences.


    • Leadership - Provide strategic direction and leadership for the Commercial Analytics team, ensuring alignment with business objectives and driving innovation in data-driven decision-making processes.
    • Commercial Analytics - Develop and implement advanced analytics solutions to support commercial initiatives, including pricing optimisation, customer segmentation, churn prediction, and revenue forecasting.
    • Marketplace Dynamics - Partner closely with commercial teams to analyse and optimise marketplace dynamics, including supply and demand balance, pricing strategies, and partner performance.
    • Software Product Insights - Collaborate with product management and development teams to uncover insights from user behaviour data, drive product optimisation, and inform feature development roadmaps.
    • Experimentation and Optimisation - Design and execute A/B tests and experiments to evaluate the impact of business initiatives, iterate on strategies, and drive continuous improvement.
    • Cross-functional Collaboration - Work closely with cross-functional teams, including Sales, Marketing, Product, and Operations, to integrate data science insights into business processes and decision-making.
    • Talent Development - Recruit, mentor, and develop a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous learning.
    • Data Modelling & Pipeline - Oversee our analytics pipeline and oversee good analytics best practice.

Key accountabilities

    • Strategic Analytics Leadership -
    • Provide strategic direction for the commercial analytics function, aligning it with the overall business goals.
    • Lead the development and execution of analytics strategies that drive business insights and innovation.
    • Team Management -
    • Manage and mentor a high-performing team of data scientists, analysts, and other analytics professionals.
    • Foster a collaborative and innovative team culture focused on delivering impactful insights.
    • Data-driven Decision Making -
    • Collaborate with executive leadership to embed a data-driven decision-making culture throughout the organisation.
    • Ensure analytics initiatives align with business objectives and contribute to performance improvement.
    • Advanced Analytics -
    • Oversee the development and implementation of advanced analytics, machine learning, and predictive modelling techniques.
    • Explore emerging technologies and methodologies to enhance analytics capabilities.
    • Data Governance and Quality -
    • Establish and maintain robust data governance practices to ensure data quality, accuracy, and security.
    • Work with relevant teams to optimise data collection, storage, and accessibility.
    • Cross-functional Collaboration -
    • Collaborate with other departments, including marketing, finance, and operations, to understand their analytics needs and deliver insights.
    • Serve as a strategic partner to business units in leveraging analytics for decision-making.
    • Performance Measurement -
    • Develop key performance indicators (KPIs) and metrics to measure the effectiveness and impact of analytics initiatives.
    • Regularly report on analytics performance to executive leadership.
    • Technology Infrastructure -
    • Evaluate and optimise analytics tools, platforms, and infrastructure to ensure scalability and efficiency.
    • Stay abreast of technological advancements in analytics.

    • This list is not exhaustive and there may be other activities you are required to deliver.

      To foster a collaborative environment that thrives on face-to-face interactions and teamwork, all Fresha employees work from the office four days per week, with the flexibility to work remotely one day each week.

Skills, experience & qualifications required

    • Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field. (preferred)
    • Excellent leadership and team management skills.
    • Effective communication and presentation abilities.
    • Proven track record of leadership in analytics/data science roles, with extensive experience in commercial analytics, preferably in software and marketplace environments.
    • Expertise in advanced analytics and statistical modelling.
    • Experience with analytics tools and platforms.
    • Expertise in machine learning, statistical modelling, and predictive analytics, with proficiency in programming languages such as SQL, Python or R.
    • Strong business acumen and ability to translate data insights into actionable recommendations for senior leadership and cross-functional teams.
    • Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud) is highly desirable.
    • Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders and inspire a data-driven culture across the organisation.
    • Self-starter and proactive approachComfortable working in a fast-paced and changing environment
Inclusive workforce

At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable.

We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment.

We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.

If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you.