analytics manager

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>

Pricing Analytics Manager

JPMorganChase

<div>JOB DESCRIPTION 
 
 
The Compliance, Conduct and Operational Risk (CCOR) Data Analytics team is part of the firm's CCOR organization within the second line of defense. CCOR is responsible for the design and execution of the CCOR program, which consists of the second line of defense's responsibilities in managing the firm's Compliance, Conduct, and Operational Risk. The Data Analytics team works with CCOR functional groups to deliver solutions designed to facilitate data-driven decision making and enable proactive risk management.
This role blends product management, business analysis, and project management responsibilities to deliver strategic capabilities to the CCOR community.
As a Vice President within CCOR Data Analytics, you will report to the EMEA lead for CCOR Data Analytics and partner with Compliance &amp; Operational Risk, Technology, and cross-functional stakeholders to drive the technology innovation agenda, ensuring alignment with firmwide strategic platforms.<h2 class="jobSectionHeader">
Job Responsibilities</h2><ul><li>
Own and drive the product vision, roadmap, and strategy for CCOR data/analytics capabilities, ensuring alignment with regulatory expectations and business objectives</li><li>
Partner with Compliance, First Line, Technology, Data Science, Operations, and other cross-functional stakeholders to gather, analyze, and translate requirements into actionable product features and user stories</li><li>
Drive innovation in methodologies by leveraging advanced analytics, technology, and industry best practices</li><li>
Identify and evaluate opportunities to apply AI/LLM-enabled capabilities (where appropriate) to improve decisioning, efficiency, control effectiveness, and user experience</li><li>
Influence key stakeholders throughout the product lifecycle (ideation/prototyping through delivery and adoption)</li><li>
Champion and apply Product Management and Agile practices where possible; manage backlogs, prioritization, planning, testing, and defect tracking</li><li>
Oversee user acceptance testing; support training and onboarding; ensure solutions meet business and regulatory requirements</li><li>
Monitor industry trends, regulatory change, and emerging risks to inform product direction and priorities</li><li>
Advocate for stakeholder needs; ensure scope and business cases align with organizational objectives and deliver measurable value; facilitate workshops, working sessions, and presentations</li></ul><h2 class="jobSectionHeader">
Required qualifications, capabilities, and skills</h2><ul><li>
Bachelor's degree in Business, Finance, Technology, or related field;
</li><li>Relevant experience in product management, business analysis, and/or project management within financial services;
</li><li>Strong understanding of financial products &amp; risk, controls and regulatory compliance framework
</li><li>Proven experience with Agile methodologies and product development frameworks</li><li>
Excellent written/verbal communication, stakeholder management, and analytical skills; ability to manage multiple initiatives and drive outcomes</li><li>
Demonstrated ability to work independently, prioritize effectively, adapt to change, and apply critical thinking to drive results</li><li>
Proficient in Microsoft Office (Excel, Visio, PowerPoint, Project, SharePoint) for analysis, process mapping, presentation materials, and collaboration</li><li>
Strong conflict management and negotiation skills, with a track record of building cross-functional relationships</li></ul><h2 class="jobSectionHeader">
Preferred qualifications, capabilities, and skills</h2><ul><li>
Innovation mindset; interest and knowledge of AI/LLM landscape and tools</li><li>
experience in CCOR
</li><li>Familiarity with data analytics platforms/technologies and innovation approaches in Compliance and Operational Risk</li><li>
Intellectual curiosity; strong critical thinking</li><li>
Highly detail-oriented; strong quality focus</li><li>
Strong analytical approach (defining analytical methods, synthesizing insights, focusing on outcomes)</li><li>
Creativity in envisioning sustainable solutions that meet business goals</li><li>
Leadership: ability to influence senior leaders toward a common goal and common approach</li></ul>
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

CCOR Data Analytics - Product manager - Vice President

The Law Society

<div></div><div><div><div><div><div>Join the Law Society's Data and AI team at an exciting stage of our data transformation journey. Having recently implemented our first enterprise Data Platform, we're looking for an Analytics Engineer to help shape the next phase of our data and analytics capability.

In this role, you will design, build and maintain trusted data models and analytics products that enable reporting, generate valuable insights and support informed decision-making across the organisation.

Working closely with data engineers, analysts and business stakeholders, you'll transform complex data into well-governed, reusable analytical models that power reporting tools such as Power BI. You'll also play a key role in improving data quality, enhancing data accessibility and ensuring colleagues can confidently find, trust and use data to drive business outcomes.

This is an excellent opportunity to join a knowledgeable and growing Data and AI team where you'll have the chance to influence best practice, work with modern technologies and contribute to the continued evolution of our data platform.
</div></div></div></div><div><div><div><h2 class="jobSectionHeader">What we're looking for</h2></div>
</div></div><div><div><div><div>We're looking for someone with a passion for data and analytics who can bridge technical expertise with business needs. You will have:
<ul>
<li>Strong SQL skills and experience designing reliable, scalable and maintainable data models, optimised for BI tools such as Power BI.</li>
<li>Experience developing reports, dashboards and semantic models using Power BI or similar analytics platforms.</li>
<li>Knowledge of modern cloud data technologies such as Databricks, Snowflake or Azure Data Factory.</li>
<li>An understanding of data governance, data lineage and data quality principles.</li>
<li>The ability to work collaboratively with stakeholders to translate business requirements into practical data solutions.</li>
<li>A proactive, collaborative approach with a commitment to continuous improvement.</li>
</ul>
Desirable skills include:
<ul>
<li>Experience using Git and Python.</li>
<li>Experience working within Agile delivery environments.</li>
<li>Relevant cloud or data certifications.</li>
</ul></div></div></div></div><div><div><div><h2 class="jobSectionHeader">What's in it for you</h2></div>
</div></div><div><div><div><div>This is an exciting opportunity to join a respected membership organisation with a strong reputation for excellence and legal expertise. You'll work alongside talented colleagues who are passionate about using data to deliver meaningful impact across the organisation.

At the Law Society, we're committed to fostering an inclusive workplace where equality, diversity and inclusion are valued, and where our culture is built on trust, clarity, excellence and respect.

We offer:
<ul>
<li>Hybrid working.</li>
<li>A generous and flexible benefits package.</li>
<li>A supportive and collaborative working environment.</li>
<li>Excellent opportunities for learning, development and career progression.</li></ul> 

 
Please note: if you are an internal applicant, Pay Policy will apply. 
The Law Society represents solicitors in England and Wales. From negotiating with and lobbying the profession's regulators, government and other decision makers, to offering training and advice, we're here to help, protect and promote solicitors.</div></div></div></div></div>

Analytics Engineer

Lendable

<div><h2 class="jobSectionHeader">About Lendable</h2>
Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world&rsquo;s leading fintech companies and are off to a strong start:<ul><li>
One of the UK&rsquo;s newest unicorns with a team of just over 700 people</li><li>
Among the fastest-growing tech companies in the UK</li><li>
Profitable since 2017</li><li>
Backed by top investors including Balderton Capital and Goldman Sachs</li><li>
Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)</li></ul>
So far, we&rsquo;ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers&rsquo; hands in minutes instead of days.
We&rsquo;re growing fast, and there&rsquo;s a lot more to do: we&rsquo;re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.<h2 class="jobSectionHeader">
Join us if you want to</h2><ul><li>
Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1</li><li>
Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo</li><li>
Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting</li></ul><h2 class="jobSectionHeader">
About the role</h2>
We're looking for an analytics engineer to contribute to the analytical foundation of the UK Motor team, a rapidly-growing area of the business.
You&rsquo;ll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company.
The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability.
You'll contribute to the modelling layer, help improve how the business work with data, and support the team in keeping our warehouse a reliable, strategic asset for the business.<h2 class="jobSectionHeader">
What you'll be doing</h2><ul><li>
Building and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting.</li><li>
Championing standards and contributing to the improvement of our analytics engineering culture.</li><li>
Supporting and collaborating with analysts at different technical levels,helping translate requirements into robust pipelines</li><li>
Helping triage and resolve issues that affect the analytics pipeline or reduce trust in downstream datasets, and contributing ideas to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time.</li></ul><h2 class="jobSectionHeader">
Our modern data stack</h2>
You&rsquo;ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude.<h2 class="jobSectionHeader">
What we're looking for</h2>
We&rsquo;re looking for someone with solid analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment and explain tradeoffs to stakeholders with varying technical depth.
More specifically, we&rsquo;re looking for:<ul><li>
Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability.</li><li>
Strong experience with ELT pipelines and transformation at scale, ideally using dbt.</li><li>
Experience with Snowflake or another modern cloud data warehouse.</li><li>
Proactiveness in raising areas of data workflows that could be improved and suggesting solutions.</li><li>
A collaborative working style and clear communication across technical and non-technical stakeholders.</li><li>
Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows</li></ul><h2 class="jobSectionHeader">
Interview process</h2><ul><li>
Initial call with an engineer</li><li>
15 minute Cognitive Assessment</li><li>
Onsite or Video Interview lasting 90 minutes, comprising of:<ul><li>
Introduction of the team and kind of work you could be doing daily</li><li>
Interactive architecture/design exercise</li><li>
Questions you may have about the company, role, etc.</li></ul></li><li>
A 60 minute chat with this role's primary stakeholders<ul><li>
Cultural/behavioural questions</li><li>
Product mindset and ability to collaborate and communicate</li></ul></li></ul><h2 class="jobSectionHeader">
Life at Lendable</h2><ul><li>
Winning team: the opportunity to scale up one of the world&rsquo;s most successful fintech companies</li><li>
Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites</li><li>
Socials &amp; connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls</li><li>
Health coverage: support for your physical and mental wellbeing, including private health cover</li><li>
Retirement &amp; savings: long-term financial wellbeing through retirement savings plans</li><li>
Employee referral programme: earn a competitive bonus when you refer successful new team members</li><li>
Office meals &amp; snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations</li><li>
Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations</li></ul>
Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.
Check out our blog!</div>

<div>As one of the world's largest networks of audit, tax and consulting firms, RSM delivers big ideas and premium service to help middle-market businesses thrive. We are a fast-growing firm with big ambitions - we have a clear goal to become the premium adviser to the middle market, globally. This vision touches everything we do, motivating and inspiring us to become better every day. If you are looking for a firm where you can build a future and make an impact, then RSM is the place for you. 
Make an Impact at RSM UK
At RSM, our consulting team brings together diverse advisory experts to deliver our six core solutions: business transformation, forensic, deal services, restructuring, finance function support, and risk and governance. 
 
Our solutions are designed to address the unique needs, challenges, and opportunities our clients face as they strive to achieve their aspirations and organisational goals. Whether it&rsquo;s supporting global expansion, developing acquisition strategies, facilitating private equity investments, or collaborating with boards to manage risk and governance, our consulting experts work as one cohesive team. We prioritise simplicity, providing data-driven insights, value-added assurance, and high-quality execution to empower our clients in building sustainable, future-fit businesses. 
 
It&rsquo;s an exciting time to join our consulting team, as we embark on ambitious growth plans that promise to create diverse career opportunities. We are committed to enhancing our six solutions, expanding and developing our team of expert consultants, embracing a digital-first approach, strengthening our global presence, and building strong client relationships. 
The Data Engineering &amp; Analytics Associate Director is responsible for establishing and leading the data engineering and analytics capability within the Forensic Technology team. The role combines hands-on technical delivery with team leadership and direct client engagement.
Day-to-day, you will design and build data pipelines, analytical models, and automated forensic testing on Microsoft Fabric and Databricks using Python, PySpark, and SQL.
You will work directly with clients, lawyers, and regulators understanding their problems, proposing data-driven solutions, and delivering through to completion.
You will also be responsible for building the team around you: hiring and mentoring junior staff, setting coding and governance standards, and creating the reusable tools and IP that underpin a scalable, consistent analytics capability. This is a greenfield role therefore, you will contribute to defining how the function operates.
You will make an impact by:
You will help establish the data engineering and analytics function, choosing the patterns, setting the standards, and building the team. You will be responsible for delivering analytics solutions directly to clients from day one.<ul><li>
Designing and building production-grade data pipelines on Microsoft Fabric and Databricks to support forensic investigations, transaction analysis, and red flag testing.</li><li>
Presenting analytical findings directly to clients, lawyers, and regulators as part of live forensic engagements.</li><li>
Setting the technical direction for the team: defining coding standards, peer review processes, data governance practices, and documentation requirements.</li><li>
Leading the strategy to leverage and integrate AI into process and output.</li><li>
Mentoring and developing junior data engineers and analysts, and leading hiring as the team grows.</li><li>
Building reusable forensic analytics tools and templates that make the team faster and more consistent over time.</li><li>
Leading proposals and business development activity for forensic data analytics engagements.</li><li>
Collaborating with analytics professionals across the wider Consulting practice through a community of practice.</li></ul> 
What we are looking for:<ul><li>
Strong experience with Microsoft Fabric or previous Azure Synapse components, Databricks an advantage.</li><li>
Strong Spark, SQL and Python skill.</li><li>
Solid understanding of data pipeline design, data modelling, and data governance.</li><li>
Working experience with Power BI and version control (Git, Azure DevOps or similar).</li><li>
Experience with Alteryx is desirable but not essential.</li><li>
Typically 5+ years in data engineering, analytics, or a closely related role.</li><li>
Experience leading a technical team or workstream, including mentoring junior staff.</li><li>
Ability to work with clients to understand their problems, propose data analytics solutions to address their requirements, and lead the delivery of those solutions from scoping through to completion.</li><li>
Experience in professional services, consulting, or a regulated environment is an advantage particularly in forensic or financial crime specialisms.</li></ul> 
What we can offer you:
We recognise that our people are our most important assets. That&rsquo;s why we offer a flexible reward and benefits package that will help you have fulfilling experience, both in and out of work.<ul><li>
Hybrid working although travel to your local office will be required weekly.</li><li>
27 Days Holiday.</li><li>
Lifestyle, Health, and Wellbeing including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP.</li><li>
Access to a suite of 300+ courses on demand developed by our inhouse Talent Development team.</li></ul> 
Diversity and Inclusion at RSM 
At RSM, we want to create a strong sense of belonging so that people of all identities, backgrounds, and cultures feel they can bring their true self to work. Our clients come from all walks of life. We aim to achieve that same diversity of background, experience and perspective in our own teams, so that we can genuinely understand our client's needs. Diverse teams bring a broader range of ideas and insights to work. That's why we're working together to ensure our firm's principles and processes support a firm culture that embraces difference and strengthens inclusion.</div>

Data Engineering & Analytics Associate Director

Barclays

<div><div>Date live: 29/06/2026
 Business Area: HR
 Area of Expertise: Technology
 Contract: Temp/Contractor Payroll (Fixed Term)
 Reference Code: JR-0000103201</div></div>
 <div>In this role you will take ownership of the Microsoft Viva Insights data environment, ensuring the delivery of accurate, consistent, and high-quality organisational data within a complex enterprise setting. You will manage data cleansing processes, oversee data ingestion through systems such as Microsoft Admin Centre (MAC) and MODIS, and continuously monitor and improve data quality standards. You will maintain field attributes, ensuring clear definitions and metadata governance, while performing core Viva Insights administration activities, including data uploads, validation, organisational hierarchy configuration, and access management. You will ensure that all data is well-structured, trusted, and aligned to governance standards, enabling reliable collaboration insights and reporting for senior leadership and HR analytics teams.
You will design, manage, and optimise end-to-end data pipelines that integrate Viva Insights with employee survey platforms, HR systems, and other enterprise data sources, supporting advanced analytics and strategic programmes. You will collaborate closely with cross-functional teams, including Organisational Effectiveness, Culture &amp; Behaviour, and Data Science, translating business requirements into robust data solutions. You will implement and maintain governance frameworks, ensuring access controls, data security, and compliance with audit requirements. By enabling seamless access to high-quality data, you will support stakeholders in generating meaningful insights that drive organisational effectiveness and informed decision-making.
To be successful as a Viva Insights Administrator and Data Engineer, you should have experience with:
<ul><li>Proven experience in Viva Insights administration</li>
<li>Understanding of the Microsoft 365 Admin Centre</li>
<li>Experience managing large, complex data environments</li>
<li>Data management, cleansing, and governance expertise</li>
<li>Experience with data pipelines and integration across systems</li>
<li>Ability to work with multiple stakeholders across technical and business teams</li>
</ul>Technical Skills
<ul><li>Microsoft Viva Insights platform administration</li>
<li>Microsoft 365 ecosystem (Admin Centre, data flows)</li>
<li>Python, SQL (Hive/Hue) for data manipulation and analysis</li>
<li>Experience with Copilot data management concepts and controls</li>
<li>Data modelling and transformation techniques</li>
</ul>Other desirable skills include:
<ul><li>Experience in HR, People Analytics, or organisational data environments</li>
<li>Familiarity with survey data integration</li>
<li>Experience working in global, matrixed organisations</li>
</ul>You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills
Your role will be located from our Northampton or London office.
Purpose of the role
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Accountabilities
<ul><li>Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.</li>
<li>Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.</li>
<li>Development of processing and analysis algorithms fit for the intended data complexity and volumes.</li>
<li>Collaboration with data scientist to build and deploy machine learning models.</li>
</ul>Vice President Expectations
<ul><li>To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..</li>
<li>If managing a team, they define jobs and responsibilities, planning for the department&rsquo;s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..</li>
<li>If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L &ndash; Listen and be authentic, E &ndash; Energise and inspire, A &ndash; Align across the enterprise, D &ndash; Develop others..</li>
<li>OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..</li>
<li>Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.</li>
<li>Manage and mitigate risks through assessment, in support of the control and governance agenda.</li>
<li>Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.</li>
<li>Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.</li>
<li>Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.</li>
<li>Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.</li>
<li>Adopt and include the outcomes of extensive research in problem solving processes.</li>
<li>Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.</li>
</ul>All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship &ndash; our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset &ndash; to Empower, Challenge and Drive &ndash; the operating manual for how we behave.</div>

Viva Insights Administrator and Data Engineer - 12 Months Fixed Term Contract

JaJa Finance Ltd

<div>About Jaja

Our Mission: Empowering our customers to buy, borrow, and build&mdash;driven by tech, fuelled by data, and built for the future.

Our Company Values: Care Deeply, Adapt &amp; Thrive, Challenge everything, Go for it! Own it, Make it Simple 
Jaja is an innovative UK based consumer finance business, leading initially with a digital credit card launched in 2018, and a pipeline of consumer finance solutions in the making. 

We are on a mission to redefine the consumer finance experience and liberate customers from needless complexity, wasted time and frustration. Or as we say it, Make Simple. 

We will delight our customers &ndash; making the customer experience simpler, more enjoyable, more intelligent &ndash; treating customers fairly and giving them more control of their money. 
Why Join Us?

This is a chance to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever.

We have a collaborative team structure fueled by an exciting mix of people, welcoming experienced people from the industry with both feet on the ground and tech-savvy dreamers who pave way for the new stuff. Come as you are and be yourself! 
About The Role

This role requires a hybrid skillset across data modelling and stakeholder management. The role works closely with tech teams and business teams to deliver and maintain data assets in Snowflake, adhering to best practice and ensuring business continuity. The ideal candidate will bring a proactive and collaborative approach to data operations with an interest in learning new skills to support the team&rsquo;s delivery. 


Key responsibilities
<ul>
<li>Supporting the delivery of new data models in a modern technology stack</li>
<li>Collaborating with stakeholders from different business areas to understand their requirements and provide appropriate solutions</li>
<li>Developing existing data models in line with product and engineering</li>
<li>Upholding the data governance standards</li>
<li>Supporting the BI and Analytics teams with key data sources required for their deliveries</li></ul> 


About You 

Essential
<ul>
<li>SQL knowledge (including CTEs and window functions) with experience of writing performant queries preferably in Snowflake</li>
<li>Using transformation tools, we use Coalesce.io but DBT would also set you up for success</li>
<li>Modelling structured and unstructured data</li>
<li>Ability to work in a fast-paced dynamic environment ideally in a start-up/ scale-up</li>
<li>Strong problem solving and attention to detail</li>
<li>Excellent communication and collaboration skills</li></ul> 


Desired
<ul>
<li>Experience with data quality frameworks</li>
<li>Familiarity with finance, credit and associated reporting</li>
<li>Experience of working with Product and Engineering teams</li>
<li>Knowledge of testing standards and version control</li>
<li>Experience with orchestration</li></ul> 
 
 
What's in it for you?
<ul>
<li>The chance to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever</li>
<li>Competitive salary</li>
<li>Pension contributions, including Salary Exchange facility</li>
<li>Annual bonus potential</li>
<li>Private medical cover provided by Vitality (optional benefit)</li>
<li>25 days annual leave (FTE) plus UK bank holidays (with an additional day added for each full calendar year worked, up to a maximum of 30 days).</li>
<li>Your birthday off each year as an additional day's holiday</li>
<li>4x life insurance cover</li>
<li>Access to our confidential Employee assistance programme</li></ul></div>

Explore 149+ Analytics manager in London this July. Find roles across top companies and apply now to boost your career.

149 analytics manager jobs In London

Pricing Analytics Manager

CCOR Data Analytics - Product manager - Vice President

Analytics Engineer

Analytics Engineer

Data Engineering & Analytics Associate Director

Viva Insights Administrator and Data Engineer - 12 Months Fixed Term Contract

Analytics Engineer