data engineer

data scientist

senior data scientist

senior data engineer

analytics engineer

data analysis manager

Lunio

<div>Data Analytics Manager 
Reports To: Head of Data Science 
Job Level: Manager 
Location: UK - Hybrid 
Role Type: Full-Time, Permanent<h3 class="jobSectionHeader">
Role Purpose</h3>
Lunio helps the world's leading advertisers protect and optimise their media spend, processing and analysing billions of ad interactions. The analytics function plays a critical role in this mission, transforming large-scale data into insights that drive decision-making for both our customers and internal teams.
The Data Analytics Manager will lead the analytics function, combining hands-on analytical delivery with the coaching and development of a small team of analysts. A key focus of the role will be improving the efficiency and impact of the team through automation, AI-assisted workflows and better reporting, reducing avoidable reactive work and creating capacity for higher-value analysis, while fostering a collaborative culture that supports growth, ownership and high-quality delivery.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>Team Leadership &amp; Development: Coach, and mentor a team of 2 data analysts, fostering a positive culture where people feel supported and motivated to grow.</li><li>Data Service Delivery: Own the day-to-day operation of the analytics service, ensuring requests are effectively triaged, prioritised and delivered to a high standard. Maintain clear workflows and visibility through Jira, enabling effective planning and communication of progress.</li><li>Hands-On Analytics &amp; Reporting: Contribute directly to analysis, reporting, dashboard development and experimentation, delivering high-quality analytical outputs that support decision-making across the business. Ensure dashboards and reporting solutions remain accurate, relevant and aligned to stakeholder needs.</li><li>Stakeholder Partnership: Build strong relationships across the business, translating stakeholder needs into analytical solutions, managing expectations, and promoting data-driven decision making.</li><li>Automation &amp; Continuous Improvement: Identify opportunities to automate repetitive analytical workflows and leverage AI-assisted tooling to improve team efficiency, scalability and impact. Work closely with Data Science and Engineering teams to deliver larger automation and tooling initiatives where appropriate.</li></ul><h3 class="jobSectionHeader">
Skills</h3>
SQL &amp; Python
Strong SQL and Python skills with the ability to work independently on complex analytical problems and large datasets in cloud data warehouses (e.g. AWS Redshift, Databricks etc.)
Dashboarding &amp; Reporting
Strong experience building and maintaining dashboards in BI tools such as QuickSight, Looker, Tableau, or Power BI.
Statistics &amp; Experimentation
Solid understanding of statistical concepts (i.e. A/B testing, regression analysis, and experimental design).
Automation &amp; AI Tooling
Curious and pragmatic about AI-assisted tooling, has practical experience embedding it to free up analyst time by automating repetitive workflows, not just experimenting.
Stakeholders Management
Proven ability to manage competing priorities, triage requests, and communicate effectively with stakeholders across the business, and push back when needed. Comfortable operating ticketing systems such as Jira, managing expectations, and ensuring work is delivered consistently and at a high standard establishing clear SLAs
Analytical Communication &amp; Storytelling
Able to turn data into compelling and actionable narratives. Thinks beyond the obvious metrics, identifies meaningful insights and alternative perspectives, and helps stakeholders understand what actions to take.<h3 class="jobSectionHeader">
Behaviours</h3>
Autonomy
Takes ownership of problems from identification through to resolution. Comfortable making decisions independently, seeking guidance when appropriate, and ensuring work progresses reliably.
Complexity
Able to structure ambiguous business questions, break down complex problems into manageable components, and apply sound analytical thinking to reach practical conclusions.
Influence
Builds trusted relationships across the business, communicates insights clearly, manages expectations effectively, and uses data to support decision-making and drive action.
Growth Mindset
Actively seeks opportunities to improve or automate processes, develop new skills, and adopt better ways of working. Encourages learning, experimentation, and continuous improvement within the team.<h2 class="jobSectionHeader">
Success Metrics</h2>
In your first 6 to 12 months, we would expect to see:<ul><li>Strengthen the analytics service with clear prioritisation, effective triage processes, strong visibility of work, and consistently high-quality delivery.</li><li>Build strong relationships with stakeholders across the business, becoming a trusted partner who provides timely, actionable insights and manages expectations effectively.</li><li>Identify and implement automation and AI-assisted workflows that reduce manual effort, improve delivery speed, and increase the team's capacity for higher-value analytical work.</li><li>Evolve the reporting framework to better connect business objectives to meaningful metrics. Give stakeholders confidence in the metrics they use, visibility into performance, and early warning signals when performance is at risk, with clear recommendations and follow-up actions when metrics move off track.</li><li>Create a supportive and accountable team environment, helping analysts develop their skills, grow in confidence and deliver high-quality work.</li></ul>
We're committed to building a diverse and inclusive team where people feel valued, supported and able to do their best work. We welcome applications from people of all backgrounds and experiences, and recognise that great candidates don't always meet every requirement listed in a job description. If you're excited about the role and believe you could make a positive impact at Lunio, we'd encourage you to apply.</div>

Data Analytics Manager

Compare The Market

<div>Data Science Manager
Function: Data &amp; AI Solutions
 
Location: Hybrid, London or Peterborough office 
Curious about what&rsquo;s next?
 
So are we. Join Compare the Market and help to make financial decision making a breeze for millions.
At Compare the Market, we&rsquo;re a purpose-driven business powered by tech and AI. We&rsquo;re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.
We&rsquo;ve carved a meerkat-shaped niche and we&rsquo;re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you&rsquo;ll fit right in. 
We&rsquo;d love you to be part of our journey.
Compare the Market is at an inflection point. We are shifting from a business that answers data questions to one that builds the intelligence powering our AI systems and platform.
As a Data Science Manager in our Data &amp; AI Solutions team, you will lead a team building the models and pipelines that sit at the heart of that platform. Depending on the domain, that might mean understanding in near real-time how hundreds of insurance partners are pricing risk across millions of customer segments, predicting which of our 34 million customers is about to need a better deal, or building the models that power personalisation in our app. These are problems where the answer does not exist in the data yet; your team builds the systems to find it.
You will set technical direction, develop your team, and work closely with product, commercial, and engineering colleagues to ensure the intelligence your team builds has a real effect on the business. 
Some of the great things you'll be doing:
Building Intelligence for Our AI Platform
<ul><li>Lead your team in building predictive systems that run continuously - always-on models that surface signals and feed our AI platform
</li><li>Design and oversee automated workflows that take model outputs through to decisions and actions
</li><li>Shape how your team approaches AI-powered systems, including where LLMs, retrieval-augmented generation, and multi-step AI patterns add value
</li><li>Ensure every model your team ships connects to a real outcome and has a mechanism to improve over time
</li></ul>Technical Leadership
<ul><li>Set the standard for modelling quality, reproducibility and production-readiness across your team - including model monitoring, drift detection and retraining cycles
</li><li>Take ownership of model performance in production: knowing when a system is degrading and having a plan to address it
</li><li>Be hands-on in design sessions, code reviews, and architectural decisions where your input matters
</li><li>Guide your team through a fast-moving tooling landscape: knowing when a classical model is the right call, when an LLM adds value, and when a more orchestrated approach is needed
</li><li>Champion responsible, auditable AI - particularly important in a regulated financial services environment where precision and explainability are non-negotiable
</li><li>Encourage and model the use of AI-assisted development tools within your team, and be actively curious about how automated coding and workflow tools can increase the pace and quality of your team's output
</li></ul>Stakeholder Partnership
<ul><li>Work closely with commercial, product, and engineering leads to translate strategic priorities into well-scoped data science work
</li><li>Present model outputs in terms of decisions and outcomes, and contribute a credible data science perspective to planning and prioritisation conversations
</li></ul>Growing Your Team
<ul><li>Develop your data scientists through regular feedback, technical mentorship, and honest career conversations
</li><li>Contribute to hiring, helping bring in people who combine technical rigour with curiosity and commercial awareness
</li>Contribute to standards and practices across the wider Data &amp; AI Solutions chapter 
<li>
</li></ul>What we'd like to see from you:
The Essentials
<ul><li>Experience leading data science teams and delivering ML solutions that run in production
</li><li>Strong Python and modelling fundamentals, sufficient to assess your team's work and contribute directly when needed
</li><li>A track record of taking models beyond the development environment and connecting them to decisions, workflows, or products with a measurable effect
</li><li>Direct experience of model production responsibilities: monitoring, degradation, retraining, and lifecycle management
</li><li>Clear communication; able to make technical work legible to commercial and product audiences
</li>Experience with MLflow, model registries, Databricks, or similar ML lifecycle and platform tooling 
<li>
</li></ul>Highly Valued
<ul><li>Hands-on experience with LLM-based systems: prompt engineering, RAG, tool use, or orchestration frameworks such as LangGraph or LangChain
</li><li>Familiarity with multi-step AI patterns, building systems where models plan, retrieve information, and take sequences of actions
</li>Understanding of experimentation at scale and the infrastructure needed to run it well 
<li>
</li></ul>Why Compare the Market?
We&rsquo;re a business built for pace and performance. Here, you&rsquo;ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.
We believe diverse teams make better decisions, and we&rsquo;re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.
If you&rsquo;re ready to stretch yourself, raise the bar, and grow with a team that&rsquo;s serious about performance, innovation, and purpose, we&rsquo;d love to hear from you.</div>

Data Science Manager

JMAN Group

<div>JMAN is the commercial data partner that specializes in maximizing value creation activities for private equity funds and their portfolio companies. We partner with our clients to address the growing need for investment decisions and value creation initiatives to be backed by reliable, real-time data. When companies partner with JMAN, we combine our data science and data engineering expertise with our deep commercial understanding to deliver tangible, high-value outcomes at pace. Founded in 2010, JMAN has a global footprint with offices in New York, London and Chennai. Our team of more than 350 experts partner with more than 80 private equity funds and over 200 portfolio companies. Nearly 85% of our business is from recurring partnerships with our clients. JMAN has been a portfolio company of Baird Capital since 2023. 
 
<h2 class="jobSectionHeader">Position:
</h2>We are a rapidly scaling business focused on delivering applied data science solutions that create measurable commercial value. While we work across a range of AI paradigms, data science sits at the core of what we do, and we are looking for individuals with deep, proven expertise in this area. 
This is a technical delivery leadership role for a highly experienced Data Scientist who leads with structured problem solving and client empathy. The primary measure of success is whether clients achieve meaningful business outcomes through robust, well-designed data science solutions, not the adoption of the latest AI trends. 
You will own the full lifecycle of data science engagements: shaping ambiguous problems, designing and delivering statistical and machine learning models, and ensuring they are embedded into operational workflows. You will work across organisations at every stage of data maturity, applying sound judgement to determine what is feasible, practical, and commercially valuable. 
While the role may involve exposure to Generative AI and autonomous AI, these are not substitutes for strong data science fundamentals. Candidates must demonstrate deep, hands-on experience delivering applied machine learning and statistical modelling in real-world settings.
Internally, you will act as a data science standard-setter, helping define best practice, raising the quality bar, and developing others within the team. 
Scope of Work
Our work spans multiple AI paradigms, with a clear emphasis on Data Science as the primary discipline for this role:<ul><li>
Data Science (Primary Focus):</li><li>
Statistical modelling, machine learning, predictive analytics, and decision science delivered into production environments and real business processes.</li><li>
Generative AI (Secondary):</li><li>
LLM-powered applications such as RAG pipelines and document intelligence, applied where appropriate to support data-led solutions.</li><li>
Autonomous AI (Emerging):</li><li>
Agent-based systems and AI workflows, used selectively where they add clear value.</li></ul> 
~75&ndash;80% of the role is focused on Data Science-led delivery, including problem structuring, model development, evaluation, and operationalisation. The remaining time is spent on client engagement, team leadership, and broader AI exposure where relevant. 
Core Responsibilities<ul><li>
Own end-to-end delivery of data science workstreams, from problem definition through to production deployment and ongoing monitoring.</li><li>
Translate ambiguous business problems into hypothesis-driven data science solutions, grounded in statistical rigour and practical feasibility.</li><li>
Lead the design and deployment of machine learning models, ensuring they are robust, explainable, and operationally viable.</li><li>
Provide technical oversight across projects, with a strong focus on model quality, evaluation frameworks, and reproducibility.</li><li>
Work closely with data engineers to ensure models are effectively integrated into production systems, with appropriate pipelines, monitoring, and lifecycle management.</li><li>
Apply sound judgement in selecting modelling approaches, balancing sophistication with interpretability, maintainability, and business value.</li><li>
Act as a trusted advisor to clients, communicating complex data science concepts clearly and influencing decision-making at senior levels.</li><li>
Manage delivery timelines, risks, and priorities across engagements.</li><li>
Set the standard for data science excellence, including coding standards, documentation, and best practices.</li><li>
Mentor junior team members, supporting their development as data scientists.</li></ul> 
The most important requirement for this role is proven, hands-on experience in Data Science. Candidates must be able to demonstrate a strong track record of delivering end-to-end machine learning or statistical solutions in real-world environments.<h2 class="jobSectionHeader"> 
Requirements:
</h2><ul><li>5+ years&rsquo; experience in Data Science or applied machine learning, ideally in consulting, high-growth, or commercial environments.</li><li>
Strong applied machine learning expertise, including:Model selection and developmentFeature engineeringEvaluation and validationDeployment into production environments</li><li>
Demonstrated experience taking models beyond experimentation into operational, business-critical systems.</li><li>
Strong background in statistics and quantitative problem solving.</li><li>
Proficiency in Python and SQL, with experience writing production-quality, maintainable code.</li><li>
Experience with modern data science tooling, including:Version control (Git)Cloud platforms (AWS, GCP, or Azure)Experiment tracking and model managementWorkflow orchestration and containerisation</li><li>
Strong understanding of MLOps principles, including model monitoring, retraining, and lifecycle management.</li><li>
Proven ability to translate business problems into data science solutions that deliver measurable outcomes.</li></ul>
Beneficial<ul><li>
Exposure to Generative AI (e.g. LLMs, RAG) is beneficial but not a substitute for core data science expertise.</li><li>
Awareness of emerging AI paradigms (e.g. agent-based systems) is a plus, but not required.</li></ul> 
Specialisms (Data Science&ndash;led)
We particularly value depth in applied data science areas such as:<ul><li>
Predictive Modelling &amp; Forecasting</li><li>
Customer analytics (segmentation, churn, LTV)</li><li>
Pricing and optimisation models</li><li>
Time series modelling</li><li>
Experimental design and causal inference</li><li>
Natural Language Processing (within a traditional ML framework as well as LLM-based approaches)</li></ul><h2 class="jobSectionHeader"> 
Other information:
</h2>If you feel that you would be a strong addition to our team, but you do not fully meet all the requirements above, we would like to encourage you to please apply anyway. As we expand, we are looking for individuals across all levels and maybe able to discuss a suitable alternative with you.
JMAN is committed to equal employment opportunities. We are a diverse, high performing team and base all our employment decisions on merit, job requirements and business needs.<h2 class="jobSectionHeader"> 
Other information</h2><ul><li>
Discretionary bonus &ndash; based on personal and company performance</li><li>
25 days annual leave + bank holidays</li><li>
Pension with a company contribution up to 8%</li><li>
Health Insurance from day 1</li><li>
Life insurance and long-term disability insurance</li><li>
Market-leading parental leave policy</li><li>
Salary Sacrifice Nursery Scheme through YellowNest</li><li>
Salary Sacrifice EV Scheme with Octopus Vehicles</li><li>
Additional Health Cash Plan with MediCash</li><li>
Cycle to work scheme</li><li>
Referral bonus for bringing in new JMAN hires</li><li>
Extensive training and coaching opportunities</li><li>
Regular company socials and retreats</li><li>
Hybrid working - minimum of 3 days in the office (E3N)</li></ul></div>

Arch Insurance (UK) Limited

<div>
 With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Work closely with business partners to understand the business problems they are trying to solve and help develop and prioritize the best-suited analytics solutions.
 </li>
 <li>
 Collaborate in cross-functional teams and share ideas to solve complex business problems.
 </li>
 <li>
 Build strong partnerships with peers across the organization to support project goals and boarder team needs.
 </li>
 <li>
 Oversee the build of predictive models using advanced analytics techniques including GLMs, GBMs, natural language processing and other machine learning approaches.
 </li>
 <li>
 Develop powerful insights using a variety of analytical tools, techniques, and technologies, and deliver results into the business which drive business decisions.
 </li>
 <li>
 Discover, explore and analyse internal and external datasets for the purpose of developing advanced analytics models.
 </li>
 <li>
 Help establish best practices and repeatable processes for the Strategic Analytics team.
 </li>
 <li>
 Provide thought leadership on new, innovative techniques, approaches and software.
 </li>
 <li>
 Guide, support, mentor and develop the growing team of predictive modelers and data scientists.
 
 
 </li>
 </ul>
 
 Desired Skills/Experience
 
 
 
 <ul>
 <li>
 Ability to design, build and implement statistical models, with an understanding of a range of analytical techniques such as predictive modelling, NLP and data mining.
 </li>
 <li>
 Data manipulation and analytical skills in languages such as Python and SQL.
 </li>
 <li>
 Knowledge of modern visualization tools such as PowerBI is a plus.
 </li>
 <li>
 Familiarity with cloud-based platforms such as Databricks, Snowflake and Azure is an advantage, but not essential.
 </li>
 <li>
 Effective task / project management and general organization skills.
 </li>
 <li>
 Excellent verbal and written communications skills; ability to convey complex concepts to technical and non-technical people across the organization.
 </li>
 <li>
 Exceptional teamwork skills required to play a key role in cross-functional teams. Ability to collaborate and build trusting relationships with business partners.
 </li>
 <li>
 Natural curiosity to understand the world around you and question as needed.
 </li>
 <li>
 Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces.
 </li>
 <li>
 Ability to apply critical thinking and creative problem-solving skills.
 
 
 </li>
 </ul>
 
 Required Skills/Experience
 
 
 
 <ul>
 <li>
 Experience in advanced analytics roles, a significant portion of which should be in the insurance industry.
 </li>
 <li>
 Experience working in an analytical role within a London Market insurance environment is an significant advantage.
 </li>
 <li>
 Hands-on experience developing and deploying real-time predictive models in the London Market.
 </li>
 <li>
 Experience delivering business value from small or non-standard data sets.
 
 
 </li>
 </ul>
 Education
 
 
 <ul>
 <li>
 Degree in statistics, mathematics, computer science, engineering or similar quantitative &filig;elds; or signi&filig;cant experience in advanced data analytics.
 
 
 </li>
 </ul>
 Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn&rsquo;t the right fit but you&rsquo;re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch&rsquo;s Talent Acquisition team.
 
 
 14101 Arch Europe Insurance Services Ltd
</div>

Zenex Plus

About Zenex PlusZenex Plus is a UK-based career development and employment support company providing international students, graduates and early-career professionals with practical career training, employability development, internship preparation and employer-facing recruitment support.We work closely with students, training partners, SMEs and employer networks to improve career outcomes through structured training, market insights, candidate preparation, job-matching support and data-informed business development.As our services continue to expand across career training, employer partnerships and AI-enabled market analysis, we are looking for an AI Business Strategy Manager to support strategic planning, commercial opportunity assessment and data-driven decision making.The RoleThe AI Business Strategy Manager will support Zenex Plus in identifying growth opportunities, assessing new business areas and improving the company&rsquo;s use of data and AI tools across market research, employer engagement, training product development and commercial planning.This role is suitable for someone with strong analytical skills, commercial awareness and an interest in how AI, labour market data and education technology can shape graduate employment, career training and business growth.Key Responsibilities<ul><li>Analyse UK employment market trends, graduate recruitment patterns, employer hiring demand and career training opportunities to support business strategy.</li><li>Evaluate new commercial opportunities, including training products, employer partnership models, recruitment support services and education-sector collaborations.</li><li>Build financial models, commercial forecasts and scenario analyses to support management decisions on pricing, investment, growth and operational planning.</li><li>Use AI tools, data analytics and business intelligence methods to improve market research, lead segmentation, service planning and performance reporting.</li><li>Monitor developments in AI, education technology, graduate recruitment, career training and employer demand to identify potential risks and opportunities.</li><li>Prepare strategic reports, investment cases, market research summaries and business recommendations for senior management.</li><li>Support the development of dashboards and reporting frameworks covering sales pipeline, employer engagement, candidate demand, conversion rates and service performance.</li><li>Work with sales, marketing and career consulting colleagues to translate market insights into practical actions, service improvements and client-facing materials.</li><li>Assess commercial and operational risks relating to new service lines, partnership opportunities and market expansion plans.</li><li>Contribute to long-term business planning, including product positioning, pricing models, partnership strategy and growth priorities.</li></ul>Requirements<ul><li>Degree in Finance, Economics, Business Analytics, Data Science, Investment Management, Business Management or a related discipline.</li><li>Experience in investment analysis, business analysis, market research, financial modelling, strategic planning or commercial consulting.</li><li>Strong interest in AI, education technology, graduate employment, career services or recruitment-related business models.</li><li>Confident using data analysis, forecasting, spreadsheet modelling and AI-enabled research tools.</li><li>Ability to interpret complex information and turn it into clear business recommendations.</li><li>Strong written communication skills, with the ability to produce reports, presentations and decision papers for senior stakeholders.</li><li>Good commercial judgement and the ability to assess both opportunities and risks.</li><li>Strong attention to detail, organisation skills and ability to manage multiple workstreams.</li><li>Experience with CRM systems, dashboards, BI tools or sales/marketing data would be advantageous.</li><li>Knowledge of the UK graduate employment market, international student career support or SME hiring trends would be beneficial.</li></ul>Benefits<ul><li>Opportunity to work in a growing UK career development and employment services company.</li><li>Exposure to AI-enabled business analysis, graduate employment trends and employer partnership strategy.</li><li>Involvement in strategic growth projects across training, recruitment support and education-sector collaboration.</li><li>Collaborative working environment with close access to senior management.</li><li>Opportunity to shape new service lines, reporting frameworks and commercial planning processes.</li><li>Career progression opportunities as the company expands its employer and training partnership network.</li></ul>Pay: &pound;70,000.00-&pound;90,000.00 per yearWork Location: In person

AI Business Strategy Manager

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
At Amazon, we're working to be the most customer-centric company on earth. One customer experience that we're constantly raising the bar on is how we fulfil and deliver orders &mdash; quickly, accurately, anywhere in the world. To meet this goal, Amazon is continually innovating and pioneering new products and services in the last mile delivery space. Come join the team and help us work hard, have fun, and make history! 
 
The Fleet Process Excellence (FPE) team sits within EU Fleet Operations, driving measurable cost optimisation across our branded delivery fleet. We operate across multiple European countries, partnering with internal stakeholders across Last Mile as well as external partners including Delivery Service Providers (DSPs), Fleet Management Companies (FMCs), and Original Equipment Manufacturers (OEMs). 
 
We are looking for a Fleet Process Excellence Insights Manager to take Ownership of our fleet cost insights pipeline end-to-end. This is not a support role &mdash; you will proactively identify cost optimisation opportunities, build the data foundations to quantify them, and translate complex analysis into clear, actionable recommendations that drive decisions at Director and Regional level. 
 
You will be the technical backbone of the FPE team: our go-to person for coding, automation, data solutions, and BI. You'll Dive Deep into large, novel datasets spanning fleet cost-per-package (CPP), vehicle off-road rates (VORR), and operational cost drivers to surface step-change savings opportunities &mdash; not wait to be asked. 
 
To be successful in this role, you'll need to operate with high independence, be a strong communicator who can bridge technical and non-technical audiences and thrive in ambiguity. You'll Deliver Results end-to-end with minimal direction. 
 
Key job responsibilities 
<ul><li>Own the fleet cost insights pipeline &mdash; design, build, and maintain automated data pipelines and reporting that provide a single source of truth for fleet cost performance (CPP, VORR, cost-by-station, cost-by-DSP).</li><li>Proactively surface cost optimisation opportunities &mdash; use statistical analysis to identify trends, gaps, and savings levers; quantify impact and present actionable recommendations to senior leadership.</li><li>Develop and maintain performance dashboards &mdash; build executive-ready visualisations with key cost metrics for Directors and senior leadership; synthesise large quantities of data into clear narratives.</li><li>Drive automation and tooling &mdash; build scalable, automated solutions (ETL pipelines, API integrations, serverless data processing) that reduce manual effort and improve data quality across FPE.</li><li>Translate data for non-technical stakeholders &mdash; partner with Regional Fleet Managers, Finance, and Operations leaders to turn complex analysis into decisions and actions. You communicate the &quot;so what&quot;, not just the numbers.</li><li>Lead cross-functional data projects &mdash; collaborate across teams and regions on reporting improvement, data standardisation, and process automation initiatives.</li><li>Build and own data models &mdash; design warehouse structures and data models that support scalable, repeatable analysis of fleet cost drivers.</li><li>Partner with finance &mdash; work with Finance teams to align cost data, validate savings estimates, and support business case development.</li></ul></div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>Experience with large-scale data analytics and data warehousing</li><li>Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience communicating results to senior leadership, or experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits)</li><li>Bachelor's degree or above in computer science, engineering, mathematics, operations, logistics, supply chain, or related field &mdash; or equivalent experience including building and maintaining data flows and pipelines</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in program management, logistics, operations, supply chain, or transportation or equivalent professional or military experience</li><li>Experience in financial modeling, P&amp;L management or analysis, or experience in quantitative role (engineering, process re-engineering, quality assurance)</li><li>Experience in one or more of the following: Big Data, DevOps, Security, Systems Administration, software development, cloud technology</li><li>Bachelor's degree or above in operations research, applied mathematics, theoretical computer science, or equivalent, or a Associate's degree or above and experience applying machine learning algorithms to find business-critical patterns in operational data</li><li>Experience building measures and metrics, and developing reporting solutions</li><li>Experience working in a matrixed environment, influencing strategy, and achieving goals by working across the organization</li></ul> 
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. 
 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Fleet Process Excellence Insights Manager, Fleet Process Excellence, Global Fleet and Products

Bestway Group

<div>About the role
We&rsquo;re seeking a Pricing Analytics Manager to deliver high-quality pricing and promotional analytics, working collaboratively across teams including the Category, Commercial, Finance, Supply Chain and BI teams.
About Bestway
Bestway Group is a diversified multinational family owned business with annualised turnover in excess of &pound;4.5 billion. Starting off as a chain of retail convenience stores, the Group has grown to become a diversified multinational business with interests across the wholesale, pharmacy, real estate, cement and banking sectors. The Group is also the largest overseas investor in Pakistan.
Owned by the Pervez, Choudrey and Sheikh families, Bestway Group was founded in 1976 by Sir Anwar Pervez OBE H Pk, who remains Chairman. Serving over 12 million customers and employing over 28,000 individuals, the Group supports and serves communities through its operations across the UK, Pakistan and the Middle East
Responsibilities:
<ul><li>Work cross‑functionally with Category, Finance, Supply Chain and BI teams to deliver actionable insights.</li>
<li>Support Pricing Manager with scenario modelling, elasticity analysis and promo measurement.</li>
<li>Build and maintain Alteryx workflows and Power BI dashboards.</li>
<li>Partner with Category teams to explain pricing insights and recommendation rationale.</li>
<li>Collaborate with Finance to validate assumptions and reconcile commercial impacts.</li>
<li>Work with Supply Chain to understand stock constraints affecting planned promotions.</li>
<li>Participate in cross‑functional trading meetings, summarising analytical findings.</li>
<li>Improve data quality and support enhancements to pricing models.</li>
</ul>
The Ideal Candidate:
<ul><li>Experience: Minimum 3+ years in data, commercial, analytics or pricing roles</li>
<li>Background in PE firms, Retail and/or Food/CPG suppliers.</li>
<li>Education: Bachelor's or Master's degree in Maths, Statistics, Economics, Engineering, Data Science, or related quantitative fields would be advantageous</li>
</ul>
Benefits:
<ul><li>Competitive salary</li>
<li>Pension</li>
<li>22 days annual leave, plus bank holidays</li>
<li>Onsite parking</li>
<li>Life assurance</li>
</ul>
We understand that no applicant ever ticks every box so please do consider applying should some or most of the above apply. Bestway Group is an equal opportunity employer and we value diversity and inclusion. We welcome people of different nationalities, backgrounds, experiences, abilities, and perspectives. We want strong, and diverse teams built from talented individuals with different backgrounds identities and experiences.
If this is of interest to you and you would like to learn more, please do get in touch, we are looking forward to hearing from you.</div>

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