data engineer

data scientist

senior data scientist

senior data engineer

analytics engineer

data analytics analyst

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

Lloyd's

<div><div>Lloyd&rsquo;s is the world&rsquo;s leading insurance and reinsurance marketplace. We share the collective intelligence and risk sharing expertise of the market&rsquo;s brightest minds, working together for a braver world.</div><div> 
Our role is to inspire courage, so tomorrow&rsquo;s progress isn&rsquo;t limited by today&rsquo;s risks.</div><div> 
Our shared values: we are brave; we are stronger together; we do the right thing; guide what we do and how we act. If you share our values and our passion to build a future that&rsquo;s more sustainable, resilient and inclusive, you&rsquo;ll find a home at Lloyd&rsquo;s &ndash; build a braver future with us.</div>
Lloyd&rsquo;s are recruiting a Data Scientist, Portfolio Analytics. You will deliver analytics, tools and insights to enable effective risk-based oversight and drive continuous improvement in market performance.
Principal Accountabilities
Work with the Senior Manager and colleagues in Portfolio Analytics to develop methodologies, tools
 
and controls that allow Lloyd&rsquo;s to efficiently and effectively oversee the market.
Lead analytical and data related projects that help manage the performance of the Lloyd&rsquo;s market
Develop new methods for understanding performance to enable better forward-looking
 
assessments.
Develop methods of measuring and targeting a sustainable portfolio mix for Lloyd&rsquo;s taking into account risk vs reward and the Market&rsquo;s strategic direction. Drive increased insight of Lloyd&rsquo;s portfolio composition and identify areas for oversight and opportunity through quantification, modelling and original analysis and further development of the Lloyd&rsquo;s Model Portfolio.
Help Portfolio Analytics to become to go to place for data and analytics in Markets.
Act as data subject matter expert for the market data returns used by Underwriting to assess
 
performance. Leads on initiatives to improve data quality, insight, alignment and rationalisation across Underwriting.
Manage and lead the automation of quarterly BAU processes.
Risk Based Oversight &ndash; which analyses performance trends by class of business.
Quarterly Business Review &ndash; which analyses performance by Syndicate.
PIP Triage &ndash; which analyses underperforming classes.
Underwriting Risk Appetite reporting which monitors whole market performance.
MI for Markets Executives
Contribute to cross-functional collaboration, in particular with Finance, Predictive Analytics, Capital
 
and Data.
Skills Knowledge and Experience
Relevant work experience in an analytical role in insurance or regulatory environment.
Engagement with senior stakeholders and managing expectations.
Driving change, building models, introducing controls, improving processes, implementing systems,
 
encouraging adoption and working cross functionally.
Project management.
Data manipulation and analysis in R and or Python.
Building visualisation tools such as Qliksense, Tableau and/or Power BI.
Intermediate to advanced experience in data management tools such as Business Objects, SQL.
Intermediate to advanced knowledge of statistical and data science techniques including modern statistical languages.
Ability to structure and distil technical information concisely and clearly and explain to a variety of
 
stakeholders.
Communication and stakeholder management skills.
Problem solving &amp; decision making.
High attention to detail.<div> 
Diversity and inclusion are a focus for us &ndash; Lloyd&rsquo;s aim is to build a diverse, inclusive environment that reflects the global markets we work in. One where everyone is treated with dignity and respect to achieve their full potential. In practice, this means we are positive and inclusive about making workplace adjustments, we offer regular health and wellbeing programmes, diversity and inclusion training, employee networks, mentoring and volunteering opportunities as well as investment into your professional development. You can read more about diversity and inclusion on our website.</div><div> 
We understand that our work/life balance is important to us all and that a hybrid of working from the office and home can offer a great level of flexibility. Flexible working forms part of a total reward approach which offers a host of other benefits over and above the standard offering (generous pension, healthcare, wellbeing etc). These include financial support for training, education &amp; development, a benefit allowance (to spend on our flexible benefits such as gym membership, dental insurance, extra holiday or to partake in our cycle to work scheme), employee recognition scheme and various employee discount schemes.</div><div>
By choosing Lloyd's, you'll be part of a team that brings together the best minds in the industry, and together with our underwriters and brokers, we create innovative, responsive solutions allowing us to share risk and solve complex problems.</div>
Should you require any additional support with your application, or any adjustments, please click the following link;
https://cleartalents.com/apply/lloyds-msa1645695881<h3 class="jobSectionHeader">
Please note, clicking on this link does not register your application for the vacancy</h3></div>

Data Scientist (Portfolio Analytics)

Smart

<div>At Smart, our mission is to transform retirement, savings and financial wellbeing, across all generations, around the world.
THE ROLE
As part of the Data Analytics team, you will work closely with stakeholders to translate business challenges into data problems, delivering high-quality and clearly articulated analysis, reporting, and data-driven insights that support effective decision-making. We are a small team with big ambitions. We are building the foundations to enable our vision of maximising the value that our extensive dataset and modern data stack can generate for the business. Because we support the entire business, our data is varied and complex. As such, we are seeking a self-starter who is comfortable navigating ambiguity and independently finding solutions within a fast paced environment. If you match our ambitions, are passionate about creating value from data, and want to help drive the evolution of our data capabilities, then we would love to hear from you. 
What you will do:
Stakeholder Partnership &amp; Communication<ul><li>
Define requirements: Partner with stakeholders across the company to translate business questions into clear analytics requirements and identify the right data points.</li><li>
Data Translation &amp; Storytelling: Explain analytical outputs and insights to stakeholders in clear, non-technical terms and, as required, build a narrative to support effective decision-making.</li><li>
Drive data literacy: Support initiatives that enable stakeholders to self-serve data more effectively.</li></ul>
Analytics &amp; Business Intelligence<ul><li>
Build BI solutions: Design, build, and maintain reports and dashboards (primarily using Tableau) used across the organisation, including Board-level KPI reporting.</li><li>
Data Analysis &amp; Insights: Manipulate and analyse complex data to answer business questions and identify trends, insights, and opportunities.</li></ul>
Data Modeling &amp; Quality Assurance<ul><li>
Build robust data models: Develop and maintain optimised and reliable solutions in our data warehouse (Redshift) using tools like dbt, collaborating closely with Data Engineering where required.</li><li>
Ensure trust &amp; accuracy: Maintain data quality and reporting reliability, manage the impact of upstream changes, and support business-critical processes with direct regulatory or customer impact.</li><li>
Peer review: Participate in code reviews and collaborative QA to validate the accuracy and value of our analytical output.</li></ul>
Continuous Improvement &amp; Team Culture<ul><li>
Automate &amp; optimise: Identify opportunities to improve efficiency through automation, better data processes and the responsible use of AI.</li><li>
Be an active team player: Contribute your ideas to team discussions, retrospectives, and future planning to continuously improve how we work together and support the business.</li></ul>
WHO WE ARE LOOKING FOR
The skills, experience, and aptitudes we are looking for are listed below but please don&rsquo;t be discouraged from applying if you don&rsquo;t meet every single one of these criteria &ndash; having a &lsquo;can do&rsquo; attitude is sometimes more important than being able to tick every box:
Experience &amp; Attributes<ul><li>
Proven track record: 3+ years of experience in data analysis, with a focus on data manipulation, reporting and insight analytics.</li><li>
Stakeholder partnership: A proven ability to work with stakeholders to deeply understand business problems, translate requirements into effective analytics solutions, and advise on best approaches.</li><li>
Data storytelling &amp; coaching: An effective technical communicator who can translate complex data for non-technical audiences and actively coach stakeholders to enhance overall data maturity.</li><li>
Analytical curiosity: Inquisitive by nature, with sharp attention to detail and a natural drive to look beyond the surface numbers to uncover actionable insights.</li><li>
Ambitious and agile learner: A fast, curious learner who is eager to independently explore and pick up new datasets, technologies and methodologies to innovate with purpose.</li><li>
Organised &amp; adaptable: Highly organised with the ability to manage multiple concurrent tasks.</li><li>
Collaborative team player: A reliable team player with a &quot;team-first&quot; mindset who thrives in a highly collaborative and supportive environment.</li><li>
Financial Services/Pensions experience (Desirable): Experience within financial services is desirable; exposure to the pensions industry is a plus.</li></ul>
Technical skills:<ul><li>
Advanced SQL (Essential): Extensive experience of writing, troubleshooting, and optimising complex queries.</li><li>
BI &amp; Data Visualisation (Essential - Tableau Preferred): Strong experience building impactful dashboards and reports in a modern BI tool, with a preference for Tableau.</li><li>
dbt (Desirable): Experience with dbt for data modeling, transformation, and managing the analytics layer.</li><li>
Python (Desirable): Experience using Python for data manipulation, advanced analytics or automation.</li><li>
Git / GitHub (Desirable): experience using version control for managing code, collaborating with others, and reviewing changes.</li></ul> 
WHO WE ARE
We work in partnerships with governments and financial institutions in the UK and internationally. Our cloud-native digital platform is revolutionising how people around the world think about, and save for, their retirement.
At heart, we&rsquo;re a financial technology business. What we do is all about innovation, and using the power of digital change to put the customer first. Our Engineers will tell you that working at Smart gives you the opportunity to play your part in developing world-class technological solutions, working with &ndash; and learning from &ndash; like-minded people.
You&rsquo;ll also find that, across our business, our colleagues love Smart&rsquo;s culture, and how what we do means better financial outcomes for savers. That feels worthwhile, and it means that what we do, collectively, goes way beyond the nine to five of a typical working day.
Don&rsquo;t just take our word for it &ndash; you can see what our colleagues say about working at Smart on LinkedIn Life and Glassdoor.
BENEFITS
At Smart, one of the eight principles we work to is &ldquo;We want happy and good people in our team&rdquo;. We created a list of benefits that helps us achieve this goal:<ul><li>
25 days&rsquo; holiday per year, increasing with length of service.</li><li>
&pound;500 annual training budget to spend on your professional development.</li><li>
Extensive private healthcare, including dental, eyecare and EAP.</li><li>
Enhanced sick leave (three months&rsquo; pay per year).</li><li>
Enhanced maternity and paternity (maternity &ndash; 6 months fully paid/paternity &ndash; 3 weeks fully paid).</li><li>
Death in service insurance cover.</li><li>
Fully-paid five-week sabbatical after five years of employment.</li><li>
In office wellbeing, such as manicures, massages and barbers.</li><li>
Smart employees also enjoy a 50% discount on orders from our sister company Arena Flowers, Britain's most ethical florist. They offer unique hand-tied bouquets, luxury flowers, letterbox flowers, plants and gifts to spend on friends and loved ones or even for yourself.</li></ul>
At Smart, we are committed to creating an inclusive and equitable workplace where everyone feels valued, respected, and empowered to do their best work.
We believe that diverse perspectives help us lead the way in transforming retirement, savings, and financial wellbeing. We welcome differences in background, experience, thinking, and identity, and we recognise that innovation is strongest when it is built on inclusion and fairness. We encourage applications from people of all backgrounds and experiences and do not discriminate on the basis of any protected characteristic.
If you require any reasonable adjustments during the recruitment process or in the workplace, we encourage you to let us know - we are committed to supporting you.
We think Smart is an awesome place to work. If it sounds like somewhere you&rsquo;d like to work, too, and if you&rsquo;re ready to play your part in our continued success in the future, then naturally we&rsquo;d love to meet you.</div>

Data Analyst

Mitie

<div><h1 class="jobSectionHeader">Join Mitie &ndash; the future of high performing places.</h1>

ROLE: Senior Analyst (12‑Month Fixed Term Contract) 
LOCATION: Hybrid (UK &ndash; Office presence as required) 
CONTRACT: Full Time (12‑Month FTC)

At Mitie, our people are our greatest strength, and our purpose is driven by a belief that better places lead to thriving communities. We're looking for a Senior Analyst who combines strong data engineering fundamentals with a passion for solving business problems through data, delivering high‑quality insight and driving performance.

This role sits across analytics, data modelling, and emerging data science, working with large datasets to produce meaningful, actionable outcomes.

<h2 class="jobSectionHeader">Role Responsibilities</h2>
<ul><li>Lead delivery of advanced analytics, identifying trends, anomalies, root causes, and performance drivers.</li>
<li>Transform complex datasets into clear, actionable insights and business narratives for stakeholders.</li>
<li>Build and maintain semantic data models, ensuring data is structured for intuitive reporting and deep analysis.</li>
<li>Develop and optimise SQL and Python (Pandas) pipelines to prepare and curate Gold‑standard datasets.</li>
<li>Design, manage, and monitor data pipelines, ensuring reliability and scalability.</li>
<li>Work across Silver, Gold, and Semantic layers within a Medallion Architecture.</li>
<li>Troubleshoot upstream data issues and ensure outputs are built on reliable data foundations.</li>
<li>Collaborate with stakeholders to gather requirements, challenge assumptions, and deliver value‑driven solutions.</li>
<li>Communicate analytical outputs clearly to both technical and non‑technical audiences.</li>
<li>Work closely with Engineers and Analysts to ensure consistent, high‑quality data outputs across the lifecycle.</li>
</ul><h2 class="jobSectionHeader">Required Qualifications</h2>

Applicants must meet the below defined requirements for the role.
<ul>
<li>Strong experience with SQL and Python (Pandas) for end‑to‑end data manipulation.</li>
<li>Experience working within the Azure data stack (Microsoft Fabric preferred).</li>
<li>Strong knowledge of Power BI or similar visualisation tools.</li>
<li>Experience working with Medallion Architecture (Silver, Gold, Semantic layers).</li>
<li>Understanding of ETL/ELT processes and orchestration tools (e.g. Azure Data Factory).</li>
<li>Strong analytical mindset with the ability to translate data into business insights.</li>
<li>Experience working with large datasets and delivering scalable analytical solutions.</li>
</ul><h2 class="jobSectionHeader">Desirable</h2>
<ul><li>Experience with PySpark/Spark for high‑volume data processing.</li>
<li>Knowledge of statistical techniques (e.g. hypothesis testing, correlation, distribution analysis).</li>
<li>Exposure to data science concepts such as regression and classification models.</li>
<li>Experience working within data engineering and analytics hybrid roles.</li>
</ul><h2 class="jobSectionHeader">Key Skills &amp; Attributes</h2>
<ul><li>Strong problem‑solving and investigative mindset.</li>
<li>Ability to translate ambiguous business questions into structured analysis.</li>
<li>Excellent communication skills, with the ability to present complex insights clearly.</li>
<li>Proactive, self‑motivated, and comfortable working in a hybrid, fast‑paced environment.</li>
<li>Collaborative approach with strong stakeholder engagement skills.</li>
</ul><h2 class="jobSectionHeader">What's in it for you?</h2>
<ul><li>Opportunity to work in a data‑driven, insight‑led environment with exposure to advanced analytics and data science.</li>
<li>Access to Mitie's Choices platform, including lifestyle benefits, wellbeing support, and retail discounts.</li>
<li>Virtual GP access for you and your household.</li>
<li>Financial wellbeing support through Salary Finance.</li>
<li>MiDeals discounts, cycle‑to‑work scheme, and retail offers.</li>
<li>Life cover up to 4&times; salary, enhanced pension contributions, and save‑as‑you‑earn scheme.</li>
<li>Opportunity to earn free shares through the Mitie Matching Share Plan.</li>
<li>Recognition through the Mitie Stars programme with monthly and annual rewards.</li>
<li>Continuous development and career progression opportunities.</li>
</ul>
There's a place for you at Mitie &mdash; join us today!</div>

Senior Analyst - 12 month fixed term contract

The Institute of Cancer Research

<div><h3 class="jobSectionHeader">Key Information</h3>
<div><div>Salary: &pound;39,805 - &pound;50,862 per annum. Commencement on the salary range is subject to comparable skills and experience.</div>
<div>Reporting to: Dr Ros Cutts</div>
<div>Duration of Contract: Fixed Term for 2 years</div>
<div>Hours per week: 35 hours per week (Full Time)</div>
<div>Location: Chelsea</div>
<div>Closing Date: Wednesday 8th of July 2026</div>
<div>
This role is eligible for ICR Sponsorship. If this is your first visa in the UK, support will be provided for costs associated with Visa application. If you are considering relocating to the UK, further information can be found here.
</div>
</div><h3 class="jobSectionHeader">Job Details</h3><div>
<div>
The Molecular Oncology Laboratory, headed by Professor Nicholas Turner, focuses on identifying and understanding resistance to breast cancer treatments with the objective of designing novel approaches to treating cancer. In addition, we are developing novel precision medicine strategies for breast cancer using circulating free DNA and other non-invasive assays of breast tumour phenotypes, with the aim to use such assays to personalise breast cancer therapy.
</div>
</div>We are looking to appoint a Data Scientist/Bioinformatician with strong ML skills to work as part of our multidisciplinary team to deliver the next generation of biomarker-based clinical studies in breast cancer. The position will be line managed by Dr Ros Cutts, Senior Bioinformatician (Liquid Biopsy) at the ICR.

The Molecular Oncology lab is increasingly producing more complex high dimensional datasets that require novel analytical approaches and we are looking to appoint someone with strong computational statistics/machine learning skills that can apply novel statistical approaches for data analysis.

What we offer
<div>
<ul><li>A dynamic and supportive research environment</li>
<li>Access to state-of-the-art facilities and professional development opportunities</li>
<li>Collaboration with leading researchers in the field</li>
<li>Competitive salary and pension</li>
</ul></div><h3 class="jobSectionHeader">About The Institute of Cancer Research</h3>
<div>
Why work for us?

As a member of staff, you'll have exclusive access to a range of staff benefits.

The ICR is committed to supporting overseas applicants applying for roles, please click here to find out further information.

The Institute of Cancer Research, London, is one of the world's most influential cancer research institutes, with an outstanding record of achievement dating back more than 100 years. Further information about working at the ICR can be found here.

At the Institute of Cancer Research, we champion diversity as we believe it fuels innovation and drives impactful research. We welcome applicants from all walks of life, valuing diverse perspectives that enrich our work.

Don't let a checklist of qualifications hold you back &ndash; if you're passionate about the role, we want to hear from you. Your unique experiences and backgrounds contribute to the richness of our team. We are committed to being an equal opportunity for all, regardless of ethnicity, gender, age, sexual orientation, disability, or any other dimension of diversity. Join us in creating an inclusive environment where everyone's voice is heard and valued.</div></div>

Analytical Scientist in Data Science

EXL Service

<div>Job Description: EXL (NASDAQ: EXLS) is a global data and artificial intelligence (&quot;AI&quot;) company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world&rsquo;s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect.
We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit www.exlservice.com . 
Role Title: Technical Business Analyst &ndash; Data &amp; Reporting
BU/Segment: Analytics / Data / Insurance
 
Location: London, United Kingdom (3-4 days a week, office-based)
 
Employment Type: Permanent
 
Experience: 7&ndash;10 years
We are seeking an experienced Technical Business Analyst with strong insurance domain knowledge and a solid background in Power BI-led reporting and analytics delivery .
This role is ideal for a candidate who can act as the bridge between business stakeholders and technical delivery teams , working closely with clients and internal stakeholders to gather, structure, and translate business requirements into clear, actionable technical specifications. 
The successful candidate will be based on-site in London , leading stakeholder discussions, defining requirements, supporting prioritisation, and coordinating with offshore development teams to ensure high-quality, timely delivery of data and reporting solutions.
The role requires a strong understanding of reporting, analytics, data structures, and Power BI , combined with excellent communication, documentation, and delivery management skills. 
 
As part of your duties, you will be responsible for:
Stakeholder Management &amp; Business Analysis
<ul><li>Act as the primary interface between business stakeholders and technical teams , ensuring requirements are clearly understood, documented, and delivered.
</li><li>Run workshops, requirement discovery sessions, and working meetings with business users and SMEs
</li><li>Translate business needs into user stories, functional requirements, acceptance criteria, process flows, and solution documentation
</li><li>Support prioritisation of requirements and help define delivery roadmaps aligned to business objectives.
</li><li>Ensure strong communication and alignment across onshore stakeholders and offshore delivery teams
</li></ul>Technical Delivery Coordination
<ul><li>Work closely with offshore developers, data engineers, and BI teams to clarify requirements and support solution design and delivery.
</li><li>Serve as the onshore coordination point for delivery teams, helping to unblock issues, manage dependencies, and maintain momentum.
</li><li>Review technical outputs against business requirements and support quality assurance throughout the delivery lifecycle.
</li><li>Track progress, manage requirement changes, and ensure traceability from requirement through to deployment.
</li></ul>Power BI &amp; Reporting
<ul><li>Lead requirements definition for Power BI dashboards, MI reporting, and analytics solutions .
</li><li>Support the design and validation of Power BI data models, dashboards, and reporting logic .
</li><li>Review dashboards and reporting outputs to ensure they are aligned to business expectations and are fit for executive and operational use.
</li></ul>Data &amp; Insurance Domain Support
<ul><li>Support data analysis and requirement definition across insurance datasets, including underwriting, premium, claims, bordereaux, and performance reporting.
</li><li>Ensure business definitions, metric logic, and reporting outputs are aligned with insurance operating needs.
</li><li>Work with stakeholders to identify gaps in data, process, and reporting, and recommend practical improvements.
</li></ul>Qualifications and experience we consider to be essential for the role
Required Skills
<ul><li>5&ndash;10 years of experience in Technical Business Analysis, or Data &amp; Analytics delivery roles .
</li><li>Proven experience working as a bridge between business stakeholders and technical/offshore delivery teams .
</li><li>Strong stakeholder management skills, with the ability to engage confidently with senior business users and technical teams.
</li><li>Strong experience in requirements gathering, documentation, solution design, user stories, and acceptance criteria definition .
</li><li>Practical experience with Power BI , including dashboard requirements, KPI definition, reporting logic, and validation of delivered outputs.
</li><li>Good understanding of data structures, reporting layers, and analytics delivery processes .
</li><li>Strong communication, documentation, and problem-solving skills.
</li><li>Ability to work in a fast-paced, client-facing, delivery-oriented environment.
</li><li>Highly organised, proactive, and able to manage multiple workstreams and stakeholders effectively.
</li></ul>Preferred Skills
<ul><li>Prior experience in the Insurance industry, ideally within Specialty, Commercial, London Market, or MGA environments .
</li><li>Familiarity with bordereaux, underwriting data, claims data, and insurance reporting processes .
</li><li>Working knowledge of SQL for data interrogation, validation, and requirement support.
</li><li>Experience working with offshore delivery models in a consulting or professional services environment.
</li><li>Awareness of modern data platforms and cloud-based reporting environments.
</li></ul>Skills and Personal attributes we would like to have:
<ul><li>A strong techno-functional Business Analyst rather than a pure developer or delivery lead.
</li><li>Comfortable working with both business users and technical teams , and able to translate between the two effectively.
</li><li>Confident in driving workshops, clarifying ambiguity, and turning loose asks into structured delivery requirements.
</li><li>Strong enough in Power BI and data/reporting concepts to challenge outputs, validate logic, and guide solution direction.
</li><li>Experienced in coordinating with offshore teams while maintaining strong day-to-day engagement with onshore stakeholders
</li></ul>As part of a leading global analytics and digital solutions company, you can look forward to:
<ul><li>A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.
</li><li>EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories.
</li><li>At EXL , we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees can enhance their skills and stay up to date with the latest trends and technologies.
</li><li>As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status.
</li><li>EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP).
</li><li>At EXL , we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration.
</li></ul>To be considered for this role, you must already be eligible to work in the United Kingdom.</div>

Senior Technical Business Analyst - Insurance

LexisNexis Risk Solutions

<div>Are you passionate about building trusted customer data foundations that power meaningful marketing decisions?
Would you like to shape scalable data pipelines and models that improve customer journeys, analytics, and business outcomes?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication &amp; Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, LexisNexis Risk Solutions | Transform Your Risk Decision Making
About our Team
This role acts as the technical backbone for the Marketing Hub &mdash; partnering closely with analytics, MarTech, and digital teams to deliver the pipelines, data models, and governance frameworks that support personalisation, measurement, experimentation, and strategic decision‑making. The Data Engineer ensures data is not only accurate and compliant but designed for high performance and long‑term growth.
About the Role
The Data Engineer plays a foundational role in enabling modern, insight‑driven marketing by building and maintaining the data infrastructure that powers the organisation&rsquo;s customer intelligence ecosystem. Working across the Customer Data Platform , journey orchestration capability , and advanced analytics and dashboarding environment , the role ensures that marketing has access to trusted, well‑structured, and scalable data.
Responsibilities
<ul><li>Data Architecture &amp; Pipeline Engineering: Build and maintain reliable pipelines integrating customer, campaign, and operational data into the CDP, ensuring accuracy and readiness for analysis
</li><li>Marketing Data Model Design: Develop scalable models supporting segmentation, lifecycle analytics, attribution, and KPI frameworks
</li><li>CDP Enablement &amp; Identity Management: Partner with MarTech and Analytics to improve identity resolution, consent logic, and data quality within the CDP
</li><li>Journey Orchestration Data Readiness: Enable event streams, triggers, and monitoring to support accurate, timely customer journeys
</li><li>Analytics &amp; Dashboarding Enablement: Provide structured datasets and semantic layers for reporting and dashboards, aligned with KPI frameworks
</li><li>Data Governance &amp; Quality Assurance: Maintain data quality, lineage, and compliance with GDPR and PII standards
</li><li>Collaboration &amp; Strategic Influence: Work closely with the Senior Marketing Analyst to align on priorities, translating technical concepts into business insights
</li><li>Operational Excellence &amp; Standards: Ensure scalable, stable data operations using best practices in automation, observability, and continuous improvement
</li></ul>Requirements
<ul><li>Advanced SQL, ETL/ELT frameworks, and cloud data platforms such as Azure, AWS, or GCP
</li><li>Data modelling and pipeline orchestration using tools such as Airflow, Data Factory, dbt, or similar
</li><li>Integrate CDP data sources across digital, CRM, transactional, and behavioural data; support identity resolution, consent handling, audience activation, journey events, trigger logic, and behavioural signals
</li><li>Build data marts and semantic layers for dashboarding and BI tools such as Power BI or Tableau; structure datasets optimised for KPI frameworks, attribution, funnel, and lifecycle analytics
</li><li>Apply data quality frameworks, lineage, cataloguing, and GDPR/PII compliance practices
</li><li>Design secure data pipelines with monitoring, alerting, and SLA/SLO management
</li><li>Translate business and marketing needs into clear technical specifications, communicating technical topics clearly to non-technical stakeholders
</li><li>Partner with analytics, marketing ops, and MarTech teams to own scalable, reliable, trusted customer-data solutions
</li></ul>Risk benefit statement
Learn more about the LexisNexis Risk team and how we work
 
https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000 

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Data Engineer

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