cover image
Capua

Graduate Data Analyst (Visa Sponsoring)

Hybrid

London, United Kingdom

£ 50,000 / year

Full Time

03-03-2025

Job Specifications

Graduate Data Analyst (Visa Sponsoring) | SaaS Scale-Up | £40,000 - £50,000 per annum | London, UK

About the Company:
Our client is a rapidly growing SaaS scale-up based in London, employing a team of 50 talented professionals who are passionate about transforming industries through software innovation. They specialise in delivering advanced software solutions tailored to the needs of a diverse, expanding client base. Focused on staying ahead of the curve, the company leverages the latest technologies and fosters a culture of continuous improvement, establishing itself as a frontrunner in the SaaS field.

About the Role:
The Data Analyst role presents an exciting opportunity for individuals interested in data management and analysis. In this position, you’ll be responsible for extracting, cleaning, and analysing large datasets to deliver actionable insights that inform business decisions and contribute to the development of top-tier SaaS products. With comprehensive training and development resources, this role allows you to grow your analytical abilities and become proficient with advanced data tools in a fast-paced, agile setting. The ideal candidate will be highly analytical, detail-focused, and eager to drive data-informed decisions.

Responsibilities:
Extracting data from primary and secondary sources, then reorganizing this data in a format that can be easily read by either human or machine.
Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
Preparing reports for the management stating trends, patterns, and predictions using relevant data.
Collaborating with engineering and product development teams to implement and refine data collection techniques.
Assisting in the design and implementation of databases and data collection systems.
Ensuring data integrity and accuracy in all analytics activities.
Participating in ongoing education and training to stay abreast of industry developments and advancements in data analysis tools and techniques.

Requirements:
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field is required.
Experience with data models, database design development, data mining, and segmentation techniques.
Proficiency with statistical analysis tools (e.g., SAS, SPSS, R) and programming languages (e.g., SQL, Python)
Strong analytical and problem-solving skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
Effective communication skills and the ability to work collaboratively in a team environment.

Benefits:
A competitive salary range of £40,000 to £50,000 with potential for bonuses.
Extensive career development opportunities, including significant training in advanced data science techniques and tools.
Access to the latest tools and technologies in data science.
Regular team events, workshops, and networking opportunities.

About the Company

We work with an industry-leading network of over 200,000 young professionals and aim to match them with top employers in both the UK and overseas. People are at the heart of everything we do, and we strive to do the best by our partners and candidates. Get in touch with our team today or have a look at our website for client testimonies, candidate tools, and the latest updates on our work! Know more

Related Jobs

Company background Company brand
Company Name
Depop
Job Title
Product Data Scientist
Job Description
Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy. Find out more at www.depop.com Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they’re from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We’re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We’re continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to adjustments@depop.com. For any other non-disability related questions, please reach out to our Talent Partners. We are looking for a Product Data Scientist to become an integral member of our Insights team. The product analytics team works closely with product stakeholders to support all aspects of the Depop product. This includes curating and driving inventory, helping our buyers find what they are looking for, ensuring all of our users are getting good value, creating fresh and exciting content and growing the platform. We also work with many other parts of the business, for example the data team, to ensure that data being produced is accurate and useful for analysis, or the machine learning team to assess how well their work is helping our users navigate the Depop experience. You will work with a product analytics lead to support a set of product squads on discovery work, experimentation and measurement, using analytical methodology and insights. You will also work with your Insights team to gain knowledge of the wider Depop business and an understanding of how your product area fits into the overall ecosystem. This role will therefore require you to develop a deep understanding of a specific area and also a high level view across the business, enabling you to guide your stakeholders to make robust, data-driven business decisions. Responsibilities Supporting with the product teams’ on analytical requests: you will work closely with the product teams in order to help them identify areas of opportunity, measure effect sizes through experimentation and track key metrics through dashboards and visualisations Strategic thinking: you will be expected to bring a strategic view to all of your work. You will be expected to build deep strategic thinking to product improvements in our area for our users, whilst also the ability to have a wider strategic view across the business, understanding how your remit is serving the goals of the overall product organisation. Requirements Proficiency in SQL and the ability to work with large datasets Experience with visualisation tools like Looker or Tableau Understanding of Python and some command over ETL scripts An analytical mind with good problem-solving skills and a love of numbers Commercial awareness and a proactive attitude to make a difference and drive impact A hunger to learn, natural curiosity and a keen eye for detail A strong sense of ownership and highly organised nature Bonus Points For Experience working within a P2P marketplace or consumer-facing mobile-first products Experience with experimentation and A/B testing Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options *role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Depop Extras Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!
London, United Kingdom
On site
Full Time
18-03-2025
Company background Company brand
Company Name
Discovered MENA
Job Title
Staff Data Engineer (based in the UAE)
Job Description
Staff Data Engineer – AI Solutions Location: United Arab Emirates Are you ready to build the backbone of cutting-edge AI systems? Here's an opportunity to join a team developing enterprise-grade AI products, working at the forefront of innovation with access to world-class data. The Opportunity We’re looking for a Staff Data Engineer to design and optimize large-scale data infrastructure, supporting the development of next-generation AI solutions. You’ll work with massive datasets, complex architectures, and real-time data pipelines, shaping the future of AI applications across multiple industries. What You’ll Do Architect Scalable Pipelines: Design, implement, and maintain data pipelines for training and fine-tuning advanced AI models Optimize Data Infrastructure: Build and refine ETL/ELT processes for high-dimensional and unstructured data Integrate and Manage Data: Work with diverse enterprise data sources, APIs, and cloud-based storage solutions Collaborate with AI Experts: Partner with researchers, data scientists, and product teams to deliver data-driven AI solutions Ensure High Performance: Monitor and optimize workflows for large-scale, real-time data processing What You'll Need Experience building large-scale data architectures and pipelines Strong proficiency in Python, Java, or Scala Deep knowledge of SQL and distributed data processing tools like Apache Spark, Hadoop, or Kafka Hands-on experience with AWS, GCP, or Azure, including services like S3, BigQuery, or Azure Data Lake Familiarity with unstructured data (text, images, videos) Bonus Points For Experience with MLOps and AI lifecycle workflows Working knowledge of Generative AI frameworks (Hugging Face, OpenAI API) Exposure to enterprise data tools like Snowflake or Databricks Understanding of NLP concepts and techniques Why Join You'll have the opportunity to work on industry-defining AI projects, leveraging secured proprietary datasets and state-of-the-art computing power to develop cutting-edge solutions. In addition to a highly competitive, tax-free salary, on offer is private healthcare, relocation support for international hires, annual flight tickets home, and private education contributions to ensure a seamless transition for you and your family
London, United Kingdom
On site
Full Time
18-03-2025
Company background Company brand
Company Name
Lumon
Job Title
Marketing Data Analyst
Job Description
Who are we? Lumon is a leading foreign exchange and international payments company which enables effortless overseas payments by uniting people, technology & expertise. We are passionate about what we do, as we believe helping people and companies achieve their goals is more valuable than just moving their money. Life at Lumon People are always at the heart of what we do, no matter if it’s our clients, our community or our Lumoneer's. To give you a little flavour of what we mean… We are a proud charity partner of Future First who support children in schools across the UK. We are a carbon neutral business. We are committed to Equity, Diversity and Inclusion; our EDI committee serves an important role at Lumon by challenging the status quo and helping us move the needle. We really want to make Lumon a great place to work, where people feel comfortable being themselves and where we can attract as much diversity as we possibly can. If this sounds good to you, then we’re thrilled you’re considering joining our team! The Role We’re looking for a Marketing Data Analyst to help build Lumon’s relationship with new and existing customers who are looking for currency exchange and management services. Reporting into the Head of Brand and Customer Marketing, as our dedicated Marketing Data Analyst you’ll be responsible for gathering, analysing, and interpreting data from various sources to guide decision-making across the marketing department. This requires a strong analytical mindset, attention to detail, and the ability to transform data into actionable insights and will involve cross functional working with our Revenue teams, Data, Product & Finance. Responsibilities Data Collection and Analysis: Gather, organise, and analyse marketing data from internal and external sources, including digital platforms, CRM systems, and market research reports. Customer Segmentation: Develop and implement models to prioritise and rank customers based on engagement, behaviour, and demographic criteria. Develop CRM customer segmentation to support growth in our retained business model, and optimise conversion to trade of new business. Lead management: Collaborate with sales and marketing teams to refine lead definitions and ensure alignment cross functionally and against strategy objectives. Continuously evaluate and optimise the lead conversion funnel by incorporating feedback and updated data. Support the development of lead scoring models to prioritise and rank prospects based on engagement, behaviour, and demographic criteria, in order to strategically target and personalise customer experiences. Reporting & analysis on marketing effectiveness: Analyse marketing channel acquisition, retention and customer conversion data. Provide insights to improve lead quality and nurture strategies, and responsible for creating the detailed reports on the effectiveness of marketing initiatives, such as paid ads, content marketing, email campaigns, and social media outreach CRM Performance Management: Analyse CRM campaign performance, including, but not limited to, email open rate & click-through rates, segment to conversion and impact on revenue. Identify opportunities for optimisation. External Data Management: Collaborate with third-party vendors and data providers to acquire and manage external datasets. Ensure data integrity and accuracy by implementing best practices for data collection, storage, and analysis. Reporting & Visualisation – create both regular and ad-hoc reports and dashboards to share insights with the marketing team and key stakeholders, making data easy to understand and actionable. Requirements Proven experience in collecting, analysing, and interpreting marketing data from various sources, including digital platforms, CRM systems, and external datasets. Hands-on experience with tools like (but not exclusively) SQL, Excel, Azure Data Warehouse, Google Analytics, Power BI, Python, Tableau, or similar analytics and visualization platforms. Experience working with third-party data providers and integrating external data sources into marketing strategies. Knowledge of data governance, quality assurance, and best practices for data integrity. A demonstrable ability to analyse complex datasets, identify patterns, and generate actionable recommendations. Strong problem-solving skills to address challenges in lead management, campaign optimisation and customer experience. Ability to model different acquisition channel, and retention scenarios for marketing outcomes that link to revenue. Broader experience in customer journey optimisation useful. What You'll Be Doing Day-to-day Manage and drive forward the data strategy for the Marketing team to support delivery of the CRM, marketing and commercial objectives of Lumon Manage the technical development requirements of Microsoft Dynamics and our email service provider, working closely with support teams Manage and provide database recommendations on Customer & Marketing strategy based on insight and trends to improve performance and enhance customer experience & commercial performance Create & optimise the segmentation and targeting of the customer database with the CRM journeys to provide timely messages and drive commercial performance of Lumon’s private and corporate contact strategy Support omnichannel contact strategy development and provide the data support required for our digital marketing function to target Lumon cohorts across all audience addressable digital marketing channels Ensure integrated, data driven contact strategy across CRM, digital marketing channels (paid search, paid social, affiliates) and our sales support teams to provide seamless customer experience, effective communications and profitable business growth Identify opportunities for automation to improve internal efficiency and overall customer experience across all digital customer touchpoints Provide weekly metrics and reports around campaign and journey performance, the success of campaigns and performance against commercial objectives Work with the CRM, Product, Marketing & Revenue teams and technical data owners across the business to translate business requirements into customer data solutions Working with the CRM, Marketing and Revenue teams, develop reporting and analysis to provide insight on strategy performance, database health and sales team performance Share insights with the wider teams, including (but not limited to); Product & Technology, Finance, Sales and the wider Marketing team Ensure all communication adheres to the relevant regulatory requirements e.g. GDPR What experience you'll need to be successful in the role? 3+ years’ experience working with customer data to support CRM & Marketing strategies and create insight Extensive experience in the data industry, with exposure to a range of data solutions. Understanding database architecture and data flows. Able to work with raw data to analyse performance and draw useful conclusio...
London, United Kingdom
On site
Full Time
18-03-2025
Company background Company brand
Company Name
Revoco
Job Title
Junior Data Scientist
Job Description
I have an interesting Data Scientist role here, it's fairly junior, looking for someone with circa 2 years exp, possibly just one role under them from university. Lots of scope to become a Senior/ Lead in the near future though, so may be good for a mid weight who wants very good prospects! Salary is circa £40K. It based in central Manchester. it is predominantly on-site though there may be some flexibility here, such as 4 days a week on site. Working for an innovative, alternative banking solution, their looking for someone who is happy to get stuck in to the Analysis of their Data. Working alongside 2 Data Engineers, there will be plenty of skills to pick up on, on in the not too far future, likely Lead for them in this particular space. There will be some exciting initiatives to work on soon too, such as regression models , predicting customer behaviour. Fraud predictive modelling, segmentation models etc. • You will be building and maintaining predictive models • Responsible for analysing and understanding companywide performance, providing insights to drive them forward • Suggesting and exploring new ways in which they can make use of their data • Supporting the wider business with day-to-day data requests where required What we're looking for a as a baseline in your experience: • Degree qualified ideally (Maths, Data Science, Data Analytics, Economics). • Circa 2 years of Data experience. • Experience with Data Science techniques, such as Classification/ Regression. • Strong SQL • Data Visualisation tools (Ideally PowerBI) • Good communication skills If this of interest, kindly apply!
Manchester, United Kingdom
On site
Full Time
18-03-2025