Data Analyst (B2B Product)
On site
Edinburgh, United Kingdom
Full Time
25-02-2025
Job Specifications
Our vision is to be the universal symbol of trust, bringing consumers and businesses together through reviews. We are well on our way—but there’s still an exciting journey ahead. Join us at the heart of trust.
Become part of a team that's exploring data to enhance online trust. As a member of Trustpilot's B2B Product Analytics team, you'll be integrated into an engaging environment where your insights will directly contribute to product strategy and drive innovation. We work together to solve complex challenges and uncover opportunities that elevate the experiences of businesses and consumers globally.
At Trustpilot, data isn't just an asset, it's the lifeblood of our platform. We leverage tools and technologies like BigQuery, DBT, Looker, Amplitude, and advanced statistical modelling to understand user behaviour, optimise product performance, and drive data-informed decisions across the business. You'll be working alongside a team of analysts, data scientists, product managers, engineers, and designers, collaborating to build impactful solutions that enhance the value of Trustpilot for businesses worldwide. Our goal is to create an inclusive environment where diverse perspectives are appreciated and everyone’s contributions are valued.
What You’ll Be Doing
Drive product strategy with data: Conduct in-depth analyses to understand user behaviour, identify opportunities for product improvement and innovation, and measure the impact of product changes
Promote data-driven decision-making: Collaborate closely with product managers, engineers, and designers to translate data insights into actionable recommendations that influence product roadmap and development
Build and maintain data infrastructure: Develop and maintain dashboards, reports, and other data visualizations in Looker and Amplitude to track key product metrics and provide ongoing visibility into product performance
Conduct in-depth experimentation: Design and analyse A/B tests to evaluate the effectiveness of new features and product enhancements, ensuring data-driven decisions are at the core of product development
Communicate effectively: Present your findings and recommendations to diverse audiences, clearly articulating the value and impact of your work to both technical and non-technical stakeholders up to C-suite level
Who You Are
You leverage data to solve complex product challenges. You're curious and motivated to uncover the 'why' behind the data, constantly seeking new knowledge and exploring different perspectives.
Skilled in product analytics: You have prior experience working with key analytical and statistical methodologies, including cohort analysis, A/B testing, and model-based analyses (regression, clustering, etc.)
Experienced in data visualization and reporting: You have built insightful dashboards and reports using BI/product analytics tools such as Looker and Amplitude.
A skilled communicator: You can effectively communicate complex data insights to both technical and non-technical audiences, translating data into compelling narratives that drive action and business challenges into technical requirements
An effective team contributor: You thrive in a collaborative environment, working closely with cross-functional teams to reach shared goals
You possess proficient SQL skills and some experience in DBT. You’re comfortable working with scripting languages like Python or R for data analysis
What's in it for you?
A range of flexible working options to dedicate time to what matters to you
Competitive compensation package + bonus
25 days holiday per year, increasing to 28 days after 2 years of employment
Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community
Rich learning and development opportunities are supported through the Trustpilot Academy, LinkedIn Learning, and Blinkist
Pension and life insurance Health cash plan, online GP, 24/7 Employee Assistance PlanFull access to Headspace, a popular mindfulness app to promote positive mental health
Paid parental leave
Season ticket loan and a cycle-to-work scheme
Central office location complete with all the snacks and refreshments you can ask for
Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials
Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more.
Still not sure?
We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We’re excited to hear about your experiences as well as how you will contribute to our working culture. So, even if you don’t feel you don't meet all the requirements, we'd still really like to hear from you!
We offer flexibility and are offering these roles to work hybrid with a mixture of office and remote working, or if you are looking to be fully remote we are open to discussing this too! (As long as you are based in the UK or Denmark)
About Us
Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever — to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial — we help consumers make the right choices and businesses to build trust, grow and improve.
Today, we have more than 320 million reviews and 70 million monthly active users across the globe, with 140 billion annual Trustbox impressions, and the numbers keep growing. We have more than 1,000 employees and we’re headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York.
We’re driven by connection. It’s at the heart of what we do. Our culture keeps things fresh –– it’s built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas.
Our purpose to help people and businesses help each other is a tall order, but we keep it real. We’re a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you –– we give you the autonomy to shape a career you can be proud of. If you’re ready to grow, let’s go.
Join us at the heart of trust.
Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart o...
About the Company
Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever — to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial — we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 320 million reviews and 70 million monthly active users across the globe, with 140 billion annual Trustbox impressions, and the numbers keep growing. We have more than 1,0... Know more
Related Jobs
- Company Name
- Datatech Analytics
- Job Title
- Data Scientist - ML/Ops & Gen AI - Bristol/Kent
- Job Description
- Data Scientist - ML & AI projects - Bristol/ Tunbridge Wells - J12909 Competitive annual salary of between £50,000 and £65,000 dependent on experience Hybrid working - Bristol or Tunbridge Wells office base (2 days a week currently, expected to increase to 3 days) No Visa Sponsorship Available - All applicants must have full and indefinite right to work in the UK Working with an exceptional employer, looking to recruit a highly skilled individual to join their dynamic and innovative Data Science team. This role will give you the opportunity to leverage your expertise in data analysis and machine learning to drive actionable insights and contribute to the development of cutting-edge solutions that improve the health and well-being of their customers. Working on some extremely exciting projects in the healthcare sector, using Generative AI and MLOps techniques to progress and develop your career in Data Science. What you’ll be doing: • Gather and clean large volumes of structured and unstructured data from various sources. • Apply statistical, machine learning and traditional and generative AI techniques to analyse data, identify patterns, and develop predictive models. • Create visual representations of data to communicate insights and findings to non-technical stakeholders. • Interpret data analysis results to provide actionable insights and recommendations for business decisions. • Work closely with cross-functional teams to understand business needs, develop solutions, and implement data-driven strategies. • Stay updated with the latest trends and advancements in data science, machine learning, and related technologies to improve methodologies and processes. • Ensure compliance with data privacy regulations and ethical standards in handling sensitive information. What you’ll bring: • Previous applied experience within a data science role. • Demonstratable knowledge of extracting business value from data science using both quantitative and qualitative metrics. • Strong mathematical and statistical background. • An ability to understand and translate data into actionable insights for the business. • Strong working knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow and PySpark. • Good understanding of industry standard MLOps capabilities. • Understanding of the financial industry, in particular insurance, would be advantageous. If you’re excited about the prospect of using data to make a meaningful difference in people's lives, we want to hear from you! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk
- Company Name
- TieTalent
- Job Title
- AI Engineer - Fully Remote - £55k - £60k
- Job Description
- About AI Engineer - Fully Remote - £55k - £60k My client are a large technical consultancy, and are on the lookout for a new candidate to join their thriving team, the chosen candidate will have experience in AI and ML, coupled with Azure Data Engineering exposure. Salary & Benefits Competitive salary of £55k - £60k (depending on experience) Fully remote working Flexible working hours 25 days annual leave Monthly home working allowance Private health insurance And many more!Role & Responsibilities Collaborate with clients to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Demonstrate understanding of navigating AI best practices within an Azure Data Engineering environment. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a strong portfolio of successful projects. Implement and deploy AI models into production environments. Monitor and evaluate the performance of AI models and make necessary adjustments. Provide training and support to clients on AI tools and best practices.What do I need to apply for the role Proven experience in AI and machine learning, with a proven track record of successful projects. Proficiency in programming languages - Python essential. Experience with AI frameworks and libraries. Excellent communication and interpersonal skills. Experience with cloud platforms, ideally Azure. Good knowledge of optimisation techniques and design patterns for large data solutions. My client have very limited interview slots and they are looking to fill this vacancy within the next 2 weeks. I have limited slots for 1st stage interviews next week so if you're interest, get in touch ASAP with a copy of your most up to date CV and email me at or call me on (phone number removed). Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at Nice-to-have skills Machine Learning Python Computer Vision United Kingdom Work experience Machine Learning NLP Computer Vision Languages English
- Company Name
- SLB
- Job Title
- Data Scientist Intern (3 or 6 months) - Starting Summer 2025
- Job Description
- Job Title Data Scientist Intern (3 or 6 months) Project: Driving Carbon Neutrality through Advanced Geochemical Modeling and Machine Learning About SLB We are a global technology company, driving energy innovation for a balanced planet. Together, we create amazing technology that unlocks access to energy for the benefit of all. At SLB, we recognize that our innovation, creativity, and success stem from our differences. We actively recruit people with a diverse range of backgrounds and cultivate a culture of inclusion that unlocks the benefits of our diversity. We want to ensure that everyone feels a sense of belonging here and we encourage, enable, and empower our people to foster inclusivity, build trust, and demonstrate respect for all across the organization. Global in outlook, local in practice – and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally. Location: Abingdon, Oxfordshire Description & Scope The urgent quest for carbon neutrality requires innovative strategies for Carbon Capture, Usage, and Storage (CCSU). Among these, Geological Carbon Storage (GCS) in depleted reservoirs and deep saline aquifers has garnered attention for its simplicity and reliability. However, its effective implementation requires addressing several challenges, particularly the efficient modeling of complex geochemical processes such as ionic trapping, mineral trapping, and mineral alteration/dissolution during CO2 injection. While traditional geochemical modeling is well-established, it is computationally intensive. By leveraging Machine Learning (ML), we can develop surrogate models that significantly reduce computational costs. Although the application of ML in geochemistry is still emerging, it holds great promise for overcoming current limitations, especially when integrated with reservoir flow simulators. Project Goals Develop a Machine Learning (ML) Proxy Model: This project aims to create an ML-based proxy model to simulate the geochemical processes involved in typical CO2 underground storage applications. Assess Viability in GCS Uncertainty Analysis: We will demonstrate the model’s effectiveness in GCS uncertainty assessment, focusing on performance analysis during training and prediction phases. Deliverables Train Machine-Learning models for typical geochemistry phenomena that occur during CO2 storage Conduct simulation studies to evaluate trained models in terms of accuracy and performance Deliverables Deliver a ML proxy model for the relevant geochemistry of typical CO2 underground storage applications Show surrogate model viability for GCS uncertainty assessment in a synthetic example Required Skills & Qualifications Studying for a Masters Degree - (Penultimate or Final year) in Mathematics; Engineering (Civil, Mechanical, Chemical, Petroleum, or Computer); Computer Sciences or a related discipline Machine Learning knowledge Python & Tensorflow Reservoir/Fluid Flow Simulation We are open to flexible, hybrid working with a combination of on-site & home working days. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.
- Company Name
- Tenth Revolution Group
- Job Title
- Data Warehouse Developer
- Job Description
- Job Description An exciting opportunity has arisen for an experienced Data Engineer / Data Warehouse Developer to join a well-established Financial Services organisation in Central London - they operate a hybrid working model, and you will spend 2-3 days per week in their modern office to collaborate with your team. Following a recent company acquisition, they have kicked-off a large integration programme of work, including a large-scale Data Warehouse integration project. This will be a core focus of your role, and will involve uplifting and redeveloping their existing Data Warehouse to serve the needs of both entities going forwards. The role requires extensive experience with SSIS to uplift, re-build and optimise ETL processes, ensuring seamless data ingestion, analysis and integration from various source systems, into their unified Data Warehouse. You'll ensure the stability and scalability of the Data Warehouse, ensuring it can handle increasing data volumes and user demands. In doing so, you'll collaborate closely with the wider data and development team, subject matter experts and various business stakeholders. This role would be well-suited to a Developer with strong T-SQL and SSIS skills, who is keen to play a key role in a large-scale and transformative Data Warehousing initiative. Requirements Extensive T-SQL programming skills - writing complex scripts, developing and optimising stored procedures etc. Extensive SSIS skills - to rebuild and optimise ETL processes Experience with Data Warehouse development Some experience in scripting with PowerShell, C# and / or Python Experience in Financial Services Experience with WhereScape Red would be beneficial but not essential Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse stakeholders and work in a team-oriented environment Benefits Salary from £55-70,000 depending on level of experience 25 days annual leave, increasing with tenure, with option to buy & sell days Contributory pension scheme Private medical insurance Life assurance Other optional add-ons Please Note: This is role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group (and Nigel Frank) are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at v.simpson@tenthrevolution.com