Data Analyst
Hybrid
London, United Kingdom
Full Time
24-04-2025
Job Specifications
About Us
Established in 2015, Rat & Boa is the brainchild of friends Valentina Muntoni and Stephanie Bennett. Championing the essence of duality, Rat & Boa is more than a fashion label; it's a celebration of femininity and individuality. With an unwavering focus on women, the designs stand as timeless pieces crafted to elevate every moment of dressing up. Born from a friendship of two distinct aesthetics and a shared desire to create unique pieces, Rat & Boa is a celebration of nostalgic glamour with a modern twist. Each collection tells its own story, interwoven with vivid signature prints, silhouettes and tones. Driven by continued inspiration, we continue to grow, building our Rat and Boa world and exploring new challenges. Rat and Boa have plans to branch into new categories over the coming year, growing into a fully-fledged fashion house.
The role:
As we continue to scale, we're building the foundation of a modern data function — one that enables faster, smarter decision-making across every area of the business.
We're moving from fragmented reporting towards a data-driven culture, with scalable data infrastructure, automation, and AI-readiness at the heart of our strategy. This is a rare opportunity to join a growing function at the beginning of its transformation, where you'll have real ownership and impact.
We're looking for a commercially minded Data Analyst to join our data transformation journey. Reporting to the Head of Data & Analytics, you'll be responsible for delivering high-quality reporting and actionable insight to teams across the business, with a focus on trading, digital marketing, customer and product performance.
The main elements of the role are:
This is a role for someone who loves solving problems with data, can communicate the "so what" behind the numbers, and is confident in building clean, trusted dashboards and data models. You'll take ownership of key reporting and analysis requests, while also helping us establish the foundations for scalable, well-modelled data.
We're especially keen to find someone with a good grasp of how analytics data should be structured and transformed. While this isn't a data engineering role, it's ideal for someone familiar with analytics engineering principles and excited to help us build better data.
Key Responsibilities
Analysis, Insight & Business Partnership
Deliver impactful analysis across trading, marketing and customer data, helping stakeholders make informed, confident decisions. You will act as a data business partner, helping answer critical business questions and proactively spotting opportunities and risks
Build a strong understanding of business performance drivers and translate data into insight, and insight into action
Reporting & Visualisation
Design and build clear, engaging dashboards in Looker Studio, helping teams easily access trusted, relevant data
Ensure reporting is consistent, well-structured, and aligned with business KPIs
Data Modelling & Analytics Enablement
Build and maintain clean, scalable data models in Google BigQuery to support reporting and analysis, ensuring KPI definitions and business logic are standardised and well-documented
Help structure our data using a layered modelling approach
Apply principles of analytics engineering, including modular SQL development, code version control, and transformation best practices
Requirements
We want to hear from you if you can demonstrate...
Strong SQL skills: comfortable writing clean, efficient queries and transforming large datasets
Experience building insightful, interactive dashboards using Looker Studio, Power BI, Tableau, or similar
Ability to communicate insights clearly to non-technical stakeholders, with a focus on commercial impact and decision-making
Familiarity with cloud data platforms such as Google BigQuery (or similar)
Understanding of layered data modelling concepts
Exposure to analytics engineering practices (e.g. modular transformations, source-to-target logic, and Git-based version control)
Comfortable working autonomously and managing your own backlog of reporting and analysis tasks
Strong attention to detail and data accuracy, with a proactive attitude towards spotting and resolving data quality issues
Experience working with complex, multi-market or multi-currency datasets (e.g. global Shopify stores)
A commercial mindset — able to prioritise work based on business impact and communicate trade-offs effectively
It's an added bonus (but not essential) if you have....
Experience with digital and marketing analytics, customer analytics and trading performance analysis in a direct-to-consumer retail business
Understanding of best practices for source-to-target mapping, testing, and documentation in analytics workflows. Experience using dbt Cloud or similar transformation tooling in a production or team environment
Understanding of dimensional modelling concepts
Experience working in a fast-paced digital or retail environment
Benefits
30 days annual leave (plus bank holidays)
Company Pension
Medical Cashback plan
Staff discount
Exposure to the fashion industry
Continuous Personal Development
Rat and Boa are an equal opportunities employer. We recognise the value an inclusive workplace culture where everyone feels empowered to contribute their unique perspective brings, we encourage applicants from all backgrounds to apply.
We strive to eliminate biases and discrimination in our recruitment process, ensuring that every candidate is evaluated based on their skills, qualifications, and potential to contribute to our team.
Please reach out if you have any specific requirements or require any reasonable adjustments at any point during the recruitment process, we are always happy to accommodate.
About the Company
Established in 2015, Rat & Boa is the brainchild of friends Valentina Muntoni and Stephanie Bennett. Championing the essence of duality, Rat & Boa is more than a fashion label; it's a celebration of femininity and individuality. With an unwavering focus on women, the designs stand as timeless pieces crafted to elevate every moment of dressing up. Born from a friendship of two distinct aesthetics and a shared desire to create unique pieces, Rat & Boa is a celebration of nostalgic glamour with a modern twist. Each collection ... Know more
Related Jobs
- Company Name
- University College London Hospitals NHS Foundation Trust
- Job Title
- Data Manager
- Job Description
- We are seeking an enthusiastic and bright individual to work in a busy, multi-disciplinary team to support the haemostasis and thrombosis team in the running of both commercial and non-commercial studies. This is a 12-month fixed term post based at UCLH. The post holder’s responsibilities will include the creation and maintenance of files for clinical trials, collection of trial data and completion of case report forms and the creation and maintenance of a database of trial activity. The post holder will provide information on clinical trials for the haemostasis team as and when required and will be expected to develop skills and knowledge relating to the conduct of clinical trials, the therapies and disease site. You will work closely with clinical teams building strong and engaging relationships across a number of different clinical professions and pathways. For an informal discussion about this post, please contact Professor Marie Scully (m.scully@nhs.net) The post holder’s responsibilities will include the creation and maintenance of files for clinical trials, collection of trial data and completion of case report forms and the creation and maintenance of a database of trial activity. The post holder will provide information on clinical trials for the haemostasis team as and when required and will be expected to develop skills and knowledge relating to the conduct of clinical trials, the therapies and disease site. University College London Hospitals NHS Foundation Trust (UCLH) is one of the most complex NHS trusts in the UK, serving a large and diverse population. We provide academically led acute and specialist services, to people from the local area, from throughout the United Kingdom and overseas. Our vision is to deliver top-quality patient care, excellent education, and world-class research. We provide first-class acute and specialist services across eight sites: University College Hospital (incorporating the Elizabeth Garrett Anderson Wing) National Hospital for Neurology and Neurosurgery Royal National ENT and Eastman Dental Hospitals University College Hospital Grafton Way Building Royal London Hospital for Integrated Medicine University College Hospital Macmillan Cancer Centre The Hospital for Tropical Diseases University College Hospital at Westmoreland Street We are dedicated to the diagnosis and treatment of many complex illnesses. UCLH specialises in women’s health and the treatment of cancer, infection, neurological, gastrointestinal and oral disease. It has world class support services including critical care, imaging, nuclear medicine and pathology. We are committed to sustainability and have pledged to become a carbon net zero health service, embedding sustainable practice throughout UCLH. We have set an ambitious target of net zero for our direct emissions by 2031 and indirect emissions by 2040. For further details / informal visits contact: Name: Professor Marie Scully Job title: Haematology consultant Email address: m.scully@nhs.net
- Company Name
- SoftServe
- Job Title
- Senior Big Data Engineer (Databricks) - RELOCATION TO ABU DHABI
- Job Description
- Please note: this position requires relocation to Abu Dhabi for a minimum period of 12 months. Project duration: 36 months+. Softserve will support relocation of selected candidates. WE ARE SoftServe is a global digital solutions company with headquarters in Austin, Texas, founded in 1993. Our associates are currently working on 2,000+ projects with clients across North America, EMEA, APAC, and LATAM. We are about people who create bold things, who make a difference, who have fun, and who love their work. Big Data & Analytics Center of Excellence, data consulting and data engineering branch at SoftServe. Starting as a group of three enthusiasts back in 2013, hundreds of Data Engineers and Architects nowadays build Data & Analytics end-to-end solutions from strategy through technical design and PoC to full-scale implementation. We have customers in Healthcare, Finance, Manufacturing, Retail, and Energy domains. We hold top-level partnership statuses with all the major cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE Experienced with Python/PySpark Proficient working with Databricks Lakehouse architecture and principles Having 2+ years of designing data models, building ETL pipelines, and wrangling data to solve business problems Experienced with Azure cloud technologies Modern Data Estate such as Azure Data Factory, Azure DevOps, Azure Synapse, Azure Data Lake Services Skilled with advanced SQL working with relational databases Knowledgeable of database and data warehouse design best practices Experienced designing, building, and scaling streaming and batch data pipelines Able to suggest the best solution among different options and conduct trade-off analysis, solve the problems Engaging in communication with stakeholders in written and verbal form (Upper-Intermediate English level) YOU WANT TO Be part of a team of data-focused Engineers dedicated to continuous learning, improvement, and knowledge sharing every day. Work with a cutting-edge technology stack, including pioneering services from major cloud providers that are at the forefront of innovation. Engage with customers of diverse backgrounds, ranging from large global corporations to emerging start-ups preparing to launch their first product. Be involved in the entire project lifecycle, from initial design and proof of concept (PoC) to minimum viable product (MVP) development and full-scale implementation. TOGETHER WE WILL Address different business and technology challenges, engage in impactful projects, use top-notch technologies, and drive multiple initiatives as a part of the Center of Excellence. Support your technical and personal growth—we have a dedicated career plan for all roles in our company. Investigate new technologies, build internal prototypes, and share knowledge with SoftServe Data Community. Upskill with full access to Udemy learning courses. Pass professional certifications, encouraged and covered by the company. Adopt best practices from experts while working in a team of top-notch Engineers and Architects. Collaborate with world-leading companies and attend professional events All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, sexual orientation, gender identity/expression, or protected veteran status. SoftServe is an Equal Opportunity Employer.
- Company Name
- bet365
- Job Title
- Cloud Platform Engineer, Data Engineering
- Job Description
- Who we are looking for A Cloud Platform Engineer, who will be embedded within the teams responsible for the delivery and operation of cloud services within Data Engineering. The next stage of our initiative is to expand our public cloud capability and establish a seamless operating model. The aim is to leverage the speed of delivery and flexibility of the self-serve model, whilst maintaining a strong relationship with the core platform team. We are embedding Cloud Platform Engineers within the Data Engineering team to help build, operate and support critical cloud products. We’re looking for someone who has a passion for working on innovative initiatives and will make an immediate impact to the Business by bringing their own experience to a challenging but vibrant environment. You will be given the support and training to allow you to grow and progress within this position. This role suits those with a development background transitioning to cloud technologies or cloud engineers who want to work closely with development teams. This role is eligible for inclusion in the Company’s hybrid working from home policy. Preferred Skills, Qualifications and Experience Prior public cloud experience, preferably with Google Cloud. Strong core platform knowledge in Projects and Folders, IAM and Billing. Proficiency operating with Infrastructure as Code (IaC) using industry standard tooling, preferably Terraform and methodologies. Knowledge of GitOps and preferably experience of use. Proficiency of source code management; namely Git. Confident in utilising custom automation and scripting using tools such as G-Cloud, CLI, Bash, Python and Golang. Experience of modern platform stacks such as Kubernetes or GKE, as well as affiliated technologies and workflows including service mesh/ingress, CI/CD, monitoring stacks and security instruments. Experience of using and managing Docker images. Awareness of networking in Public Cloud environments. Awareness of key security considerations when operating in the public cloud. Main Responsibilities Working as an embedded Cloud Platform Engineer within a software function to deploy, operate and support related cloud resources. Taking accountability for the end-to-end delivery of cloud resources as part of software product initiatives. Working with and influencing others to advocate and guide technical aspects of cloud adoption. Working with the central Cloud Platform Team to embed key principles and standards in the operational running of responsible technologies. Supporting and consulting with stakeholders. Driving engineering excellence across your team by fostering modern engineering practices and processes. Working with the central Cloud Platform Team to help steer the next iteration of self-serve automation technologies. By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Policy - https://www.bet365careers.com/en/privacy-policy.
- Company Name
- Mars
- Job Title
- Machine Learning and AI Engineering Lead
- Job Description
- Machine Learning and AI Engineering Lead - London Mars is a family-owned business with more than $35 billion in global sales. We produce some of the world’s best-loved brands: M&M’s®, SNICKERS®, TWIX®, MILKY WAY®, DOVE®, PEDIGREE®, ROYAL CANIN®, WHISKAS®, EXTRA®, ORBIT®, 5™, SKITTLES®, BEN’S ORIGINAL®, and COCOAVIA®. Alongside our consumer brands, we proudly take care of half of the world’s pets through our nutrition, health and services businesses such as Banfield Pet Hospitals™, BluePearl®, Linnaeus, AniCura, VCA™ and Pet Partners™. Headquartered in McLean, VA, Mars operates in more than 80 countries. The Mars Five Principles – Quality, Responsibility, Mutuality, Efficiency and Freedom – inspire our 130,000 Diverse Associates to act daily towards creating the world we want tomorrow. Job Description: Royal Canin is undergoing a significant Digital Transformation journey. Our ability to solve the most critical problems across Mars in a User Centric way through Data & Analytics is fundamental to our growth ambition and transformation. Significant early success in this journey, and the introduction of many critical foundational capabilities, means that we are looking to accelerate our ability to solve problems and ultimately drive value for Mars Inc. The opportunities are significant for Mars, and the opportunities for those working in this space are both hugely exciting and rewarding. Connecting and deriving break-through insight from our Royal Canin and Petcare data ecosystems, leveraging the rapidly growing world of external data to get closer to our customers and consumers than ever before, and unlocking efficiencies and automation across our End-To-End Value Chain. Building on this momentum, we are recruiting a Machine Learning and AI Engineering Lead to join our Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The Machine Learning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization's mission of leveraging advanced technologies to drive innovation and efficiency across the organisation. The role will work closely with the Data Science Led to develop and execute an AI and ML roadmap aligned with business goals and requirements. What will be your key responsibilities? Serve as the technical lead for Generative AI and machine learning model deployment within RC D&A. Collaborate with the Data Science team to design, prototype and build next generation ML and AI products and accelerators. Design, architect and review technical architecture for data science, machine learning and AI solutions and provide feedback for optimal implementation. Develop and oversee the implementation of an MLOps and LLMOps strategy. Align and contribute towards the wider Petcare MLOps strategy. Review code developed by the data science team to ensure solution can be deployed. Identify opportunities to optimize methodologies. Contribute to a high performing data science function through coaching data scientists and providing training on writing scalable code and good software engineering practices. Create repeatable, interpretable, dynamic and scalable model training pipelines that are incorporated into analytic data products through cloud web applications and APIs. Define key performance indicators (KPIs) and implement monitoring systems for deployed products to ensure continuous operational performance. Define strategy to handle incident management. Engage with RC D&A Platform Lead and Platform Product Owner to scope, plan and implement accelerators. Stay updated with the latest advancements in MLOps. Apply relevant techniques into projects. Educate D&A on technological advancements in this area. Documentation: Maintain comprehensive documentation for model training pipelines, deployment processes, and code. Partner with the Product Management squad model and provide advice on how inflight projects can utilise ML and AI to generate additional value. What are we looking for? 5-7 years of experience working in a quantitative role preferably in the CPG, or retail industry. Proven track record of delivering value through AI/ML/Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively. Partner with business leadership across functions and data science teams to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions. Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and use Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities. Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics. Ability to translate business needs into analytical frameworks & superior verbal and written communication skills Working understanding of ML Ops and DevOps frameworks Familiarity with Microsoft Azure tech stack, including but not limited to AzureML, Azure AI Foundry, Databricks What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company where we’re striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry-competitive salary and benefits package, including company bonus. Disclaimer: Mars is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.