Data Engineer
London / £500 - £600 day
INFO
RATE:
£500 - £600
LOCATION
London
Contract
6-months
£500-£600 per day
Remote
This is an opportunity to join a leading organisation within the credit information and data services sector, supporting a major cloud analytics transformation programme. You'll play a key role in adapting data products and analytical assets for a new external-facing platform, helping to deliver scalable and accessible data solutions for clients.
The Company
They are a well-established data and analytics organisation that helps businesses make better decisions through trusted data, advanced technology, and cloud-based solutions. As part of a significant platform modernisation initiative, they are expanding their analytics capability and investing in innovative cloud technologies. This role offers the chance to work on large-scale data assets within a highly collaborative environment.
The Role and Deliverables
- Modify and enhance existing data pipelines, analytical tools, and data assets for deployment on a new cloud analytics platform.
- Adapt internal data products to operate effectively within external client sandbox environments.
- Develop, optimise, and maintain data processing solutions using Python and SQL.
- Work with large-scale datasets within Google Cloud and BigQuery environments.
- Collaborate with data, engineering, and platform teams to ensure data assets are fit for purpose.
- Contribute to testing, validation, and ongoing improvement of analytics solutions.
Your Skills & Experience
- Strong proficiency with Python, including hands-on experience using Pandas.
- Experience working with SQL and cloud-based data warehousing technologies.
- Knowledge of Google BigQuery would be highly beneficial.
- Exposure to PySpark and distributed data processing environments.
- Ability to analyse, transform, and optimise complex datasets.
- Strong problem-solving and stakeholder communication skills.
How to Apply
If you have strong Python and SQL expertise and are interested in cloud-based analytics transformation projects, please apply with your latest CV.
CONTACT
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Solution Consultant
Remote (USA)
$110000 - $140000
+ Data Engineering
PermanentUSA
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Solution Consultant
Location: Remote (USA)
About the Role
We are seeking a Solution Consultant to help customers successfully adopt and maximize the value of our software after implementation. This is a highly customer-facing role focused on training, user support, customer engagement, and long-term adoption.
Responsibilities
- Deliver customer training and onboarding.
- Provide ongoing product support and troubleshoot user issues.
- Build strong relationships with customers and act as a trusted point of contact.
- Proactively engage users to increase adoption and utilization.
- Analyze healthcare claims data to provide relevant, customer-specific guidance.
- Gather customer feedback and contribute to product improvement efforts.
- Create training materials, documentation, and best practices.
Qualifications
- Experience working with healthcare claims data.
- Background in healthcare fraud, waste & abuse (FWA), investigations, auditing, compliance, claims analysis, SIU, Medicaid Program Integrity, healthcare insurance, or government healthcare programs.
- Strong understanding of healthcare operations and how data is used to support investigations, oversight, or program integrity.
- Excellent communication, presentation, and training skills.
- Customer-focused with strong relationship-building abilities.
- Strong analytical and problem-solving skills.
- Comfortable learning and adopting new technologies.
- No coding or software development experience required.
Government healthcare experience is a plus; candidates from private healthcare organizations with relevant claims and investigation experience are also encouraged to apply.
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Data Engineer
Redwood City
$120000 - $140000
+ Data Engineering
PermanentRedwood City, California
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Data Engineer
Redwood City, CA | Hybrid
Overview
A fast-growing, venture-backed company transforming the built environment is seeking a Data Engineer to join its expanding data team. This organization combines technology, operations, manufacturing, and project execution to deliver scalable physical products and services in a highly regulated industry.
As the second member of the data team, you will work closely with business stakeholders across operations, manufacturing, inventory management, project delivery, and corporate functions. This is an opportunity to take ownership of critical data infrastructure and have a direct impact on company growth.
What You’ll Do
- Own, maintain, and enhance approximately 20 existing data pipelines
- Design and build new data integrations to support business growth and operational scale
- Develop reliable ETL processes and ensure data quality across multiple source systems
- Create greater visibility into inventory, manufacturing, project execution, and operational performance
- Ingest and operationalize publicly available datasets to support strategic decision-making
- Partner with stakeholders across multiple departments to understand requirements and deliver actionable insights
- Monitor pipeline health, troubleshoot issues, and improve the reliability of data infrastructure
- Help establish scalable data practices within a small but growing team
What We’re Looking For
- 2-4 years of professional experience in Data Engineering, Analytics Engineering, or a related field
- Expert-level SQL skills
- Experience owning and maintaining production ETL/data pipelines
- Strong communication and stakeholder management skills
- Ability to thrive in a fast-paced environment with evolving priorities
- Broad technical exposure and a generalist mindset, with experience solving a variety of business problems
- Demonstrated ability to work independently with a high degree of ownership
Nice to Have
- Experience working with ERP systems, particularly in operational or supply-chain environments
- Experience with transactional databases and source-system design considerations
- Proficiency with Python
- Experience with Spark, dbt, Databricks, and/or TypeScript
- Experience integrating APIs and external data sources
- Public GitHub projects demonstrating data engineering, ingestion, or pipeline development work
Location
The position is based in Redwood City, California with a hybrid schedule.
Tuesday through Thursday are required onsite, with flexibility on Monday and Friday.
Compensation
$120,000-$140,000 base salary + equity
Candidates must be authorized to work in the United States without current or future visa sponsorship.
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Senior Analytics Engineer – Fabric
London
£65000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Senior Analytics Engineer
Oxford (Hybrid, 2 days per week) | Up to £65,000
No sponsorship offered
This is an opportunity to join a growing data function within an organisation undergoing significant international expansion. As data volumes and regional coverage continue to increase, the team are investing in their platform and looking for an experienced Analytics Engineer to help improve data processing, reduce latency, and support the evolution of their cloud-based data environment.
The Company
They are a growing organisation with an established data function supporting business operations across multiple regions. Data is central to their continued growth, and they are investing in technology and people to enhance their capabilities.
The wider team consists of Data Engineering, Data Acquisition, and Analytics professionals who work closely together to deliver scalable, high-quality data solutions.
The Role
You will take ownership of data initiatives for a specific region and play a key role in developing and improving the organisation’s data platform.
Key responsibilities include:
- Building and maintaining ELT pipelines across the Azure ecosystem
- Developing solutions using SQL, Azure Data Factory and Microsoft Fabric
- Supporting data migration and modernisation projects
- Improving data quality, processing efficiency and reliability
- Working with legacy data models and integrating new solutions
- Developing and supporting Power BI reporting capabilities
- Performing data cleansing and transformation using notebooks within ADF
- Collaborating with Data Engineering, Data Acquisition and Analytics teams
- Contributing to architectural discussions and technology decisions
- Delivering solutions within Agile and Scrum environments
Your Skills & Experience
- You will have strong commercial experience with:
- SQL, with advanced query writing and optimisation skills
- Microsoft technology stack development
- Azure Data Factory (ADF)
- Microsoft Fabric
- Azure cloud technologies
- ELT pipeline development and maintenance
- Data migration projects
- Data cleansing and transformation processes
- Legacy data models
- Power BI reporting
What They Offer
- Salary up to £65,000
- Hybrid working with flexibility around office attendance
- Opportunity to take ownership of a regional data estate
- Exposure to platform modernisation and data migration projects
- Collaborative team environment with close interaction across Data Engineering, Analytics and Data Acquisition
- Opportunity to influence data delivery and technical direction
How to Apply
If you’re an Analytics Engineer with strong SQL, Azure Data Factory, Microsoft Fabric and Azure experience, apply today to learn more about this opportunity.
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Senior Product Manager – Collections
London
£80000 - £100000
+ Risk Analytics
PermanentEngland
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Senior Product Manager, Collections & Recoveries
Remote within UK
£80-£100,000 + benefits
This is an opportunity to take ownership of a critical product area within a mission-led, African-founded fintech . You’ll shape the future of collections and recoveries, bringing a strategic vision to a growing team while delivering meaningful outcomes for both customers and the business.
The Company
Our client is a technology-driven financial services business focused on delivering accessible, responsible financial products to underserved markets. They combine data, digital platforms, and customer-centric thinking to support sustainable growth for their customers.
As the business continues to scale, they are investing in their product capability and looking for an experienced product leader to bring specialist collections and credit expertise into the organisation.
The Role
You will own the strategy, roadmap, and performance of the collections and recoveries product domain, working closely with Operations, Credit Risk, Data, and Engineering teams.
Key responsibilities include:
- Defining and delivering the collections and recoveries product strategy
- Building scalable tools and workflows that improve operational effectiveness
- Developing customer segmentation and early-warning capabilities alongside Risk and Data teams
- Enhancing repayment journeys across digital and assisted channels
- Driving automation and reducing manual operational processes
- Using experimentation and analytics to improve repayment, recovery, and customer outcomes
- Establishing clear KPIs, reporting frameworks, and success measures
- Influencing senior stakeholders across Product, Operations, Risk, and Technology
- Supporting the development of more proactive and customer-focused collections approaches
- Mentoring and guiding junior product team members
Your Skills & Experience
- Strong product management experience within banking, lending, fintech, payments, or financial services
- Direct experience with collections, recoveries, credit servicing, or lending products
- Proven success delivering transformation initiatives within collections or customer repayment environments
- Experience building and scaling data-led products and operational tooling
- Ability to translate complex business challenges into impactful product solutions
- Strong stakeholder management and communication skills
- Working knowledge of SQL and product analytics
- Experience with payments platforms, mobile money, or credit products would be advantageous
- Exposure to responsible lending, financial inclusion, or customer protection initiatives is beneficial
What They Offer
- Salary up to £100,000
- Wider benefits package including bonus
- Travel to Kenya (headquarters) for team collaboration
- High levels of ownership and influence within a growing product organisation
- Opportunity to define the future direction of collections and recoveries products
- Exposure to senior leadership and strategic decision-making
- Career growth within a scaling fintech environment
A purpose-driven culture focused on delivering positive customer outcomes
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Senior Analytics Engineer
£60000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentOxfordshire
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SENIOR ANALYTICS ENGINEER
OXFORD/HYBRID
UP TO £65,000
This is an excellent opportunity for a Senior Analytics Engineer to play a key role in a growing data-driven organisation undergoing significant digital transformation. You will help shape the future of a cloud-based data platform, working on modern analytics engineering challenges while influencing technology decisions across the business.
ROLES AND RESPONSIBILITIES:
The Senior Analytics Engineer will:
- Develop, maintain, and enhance cloud-based data platforms and analytics solutions
- Design and build scalable ETL and ELT pipelines to support reporting and data products
- Work closely with stakeholders to translate business requirements into technical solutions
- Develop and optimise data warehouses, data marts, and reporting environments
- Ensure high standards of data quality, performance, reliability, and governance
- Automate data processes and deployments using modern engineering practices
- Monitor, troubleshoot, and continuously improve data infrastructure
- Contribute to data architecture decisions and support the modernisation of legacy systems
- Create clear technical documentation and maintain best practices across data engineering workflows
- Collaborate with developers, analysts, and business teams to deliver impactful data solutions
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
- Strong commercial experience with Azure-based data technologies such as Azure SQL, Azure Data Factory, Microsoft Fabric, Synapse, or related platforms
- Expertise in designing and maintaining modern data warehouse architectures
- Advanced SQL skills and experience with CI/CD processes and Azure DevOps
- Strong Python scripting capabilities for automation, orchestration, and pipeline optimisation
- Experience working with ETL and ELT frameworks and data management best practices
- Knowledge of data security, governance, and regulatory requirements
- Experience with analytics and visualisation tools such as Power BI or similar platforms
- Familiarity with Git version control and collaborative development practices
- The ability to communicate effectively with both technical and non-technical stakeholders
- A proactive approach to problem-solving and delivering high-quality solutions
APPLY BELOW!
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Senior Payroll & Benefits Manager
London
£500 - £570
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
London – Hybrid
Outside IR35
3-6 months
£500-£570 pd
This is an opportunity to join a leading UK media organisation on an initial 3-6 month contract, taking ownership of Payroll & Benefits across multiple UK entities.
Working closely with HR, Finance and senior stakeholders, you’ll act as the senior payroll SME, ensuring compliant, accurate and efficient payroll delivery while overseeing benefits, provider management and continuous improvement initiatives.
The Role
- Own the end-to-end Payroll & Benefits function
- Lead payroll governance, compliance and controls
- Review and approve payroll submissions and reconciliations
- Manage complex payroll, pensions and benefits issues
- Oversee payroll and benefits providers
- Support audits, year-end processes and statutory reporting
- Drive payroll transformation, automation and process improvement
- Partner with HR, Finance and senior leadership teams
Skills & Experience
- Extensive UK payroll experience with strong HMRC, PAYE and RTI knowledge
- Experience leading payroll operations within a complex organisation
- Strong payroll governance, compliance and audit experience
- Benefits, pensions and salary sacrifice scheme knowledge
- Experience managing outsourced payroll and benefits providers
- Previous payroll transformation, implementation or migration experience
- Strong stakeholder management skills
- Multi-entity payroll experience preferred
- CIPP qualification desirable
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Senior Product Analyst
Manchester
£60000 - £700000
+ Digital Analytics
PermanentManchester, Greater Manchester
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Senior Product Analyst
Manchester (Hybrid – Tuesday to Thursday)
Up to £70,000 + 10% Annual Share Award
The Company
A leading UK consumer technology business is looking for a Senior Product Analyst to join its growing Product Analytics function. Operating one of the UK’s largest digital marketplaces, the business connects millions of customers every month through an advanced digital platform and has built one of the UK’s most mature Product Analytics capabilities.
Significant investment has been made across Product, Engineering, Data and AI, with analytics playing a central role in shaping customer experiences. Rather than relying on traditional web analytics, the business has developed a sophisticated event-level tracking infrastructure, providing analysts with rich behavioural data to drive product decisions.
This role sits within the Growth team, partnering closely with Product Managers, Engineers, Marketing and Data Scientists to improve personalisation, experimentation and customer decision-making across a high-traffic consumer platform.
Why Join?
- Join one of the UK’s leading consumer technology businesses.
- Work on digital products used by millions of customers every month.
- Be part of a highly mature Product Analytics function with a dedicated analytics community.
- Work with a modern data stack and rich event-level behavioural data.
- Influence product strategy through experimentation and behavioural analytics.
- Partner with Product, Engineering and Data Science in cross-functional squads.
- Gain high visibility with senior stakeholders and product leadership.
- Excellent long-term career progression within a large analytics organisation.
The Team
You’ll join a Product Analytics and Data Science function of over 30 analytics specialists, working within a wider Product & Technology organisation of more than 400 people.
This is a senior individual contributor role where you’ll combine technical excellence with commercial thinking, partnering with stakeholders across Product and Engineering while mentoring other analysts and helping establish best practice across the wider analytics community.
The Role
This is a Senior Product Analytics position with a strong focus on behavioural analytics, experimentation and statistical analysis.
You’ll take ownership of analytical projects from discovery through to implementation, helping Product and Engineering teams make better commercial decisions through data.
Key Responsibilities
- Analyse customer behaviour using large-scale event-level datasets.
- Develop product performance metrics and audience measurement frameworks.
- Design, analyse and evaluate A/B tests and experimentation programmes.
- Partner with Product Managers, Engineers and Marketing teams to improve customer journeys.
- Translate complex analytical findings into clear commercial recommendations.
- Influence senior stakeholders using data-driven insights.
- Support the development and improvement of tracking and measurement capabilities.
- Mentor junior analysts and promote best practice across the analytics function.
- Independently own projects from discovery through to delivery.
Skills & Experience
- Strong SQL skills.
- Python and/or PySpark experience.
- Experience within Product Analytics or Digital Analytics.
- Strong understanding of experimentation and A/B testing.
- Good grounding in statistics and analytical methodologies.
- Experience analysing customer and user behaviour.
- Experience working with event-level behavioural datasets.
- Strong stakeholder management and communication skills.
- Experience partnering with Product Managers and Engineering teams.
- Commercial mindset focused on improving customer outcomes.
- Experience with enterprise web analytics platforms such as Google Analytics or similar is advantageous.
Package & Benefits
- Salary up to £70,000 (with flexibility for exceptional candidates).
- 10% annual share award, giving employees long-term ownership in the business.
- Hybrid working with three office days per week (Tuesday-Thursday).
- 28 days annual leave, plus bank holidays and additional Christmas and New Year office closures.
- Industry-leading remote working flexibility, including designated remote-first periods each year where employees can work from anywhere in the UK-and selected international locations-for up to six consecutive weeks during the summer and up to four consecutive weeks during the winter. This offers the flexibility to travel, spend extended time with family, or work from another location without using annual leave.
- Competitive pension scheme, private medical cover, enhanced family leave and a comprehensive wellbeing package.
- Opportunity to work within one of the UK’s strongest Product Analytics environments alongside experienced analysts, data scientists and product teams, with clear progression opportunities as the analytics function continues to grow.
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Data Engineer
London
£500 - £600
+ Data Engineering
ContractLondon
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Data Engineer
6-months
£500-£600 per day
Remote
This is an opportunity to join a leading organisation within the credit information and data services sector, supporting a major cloud analytics transformation programme. You’ll play a key role in adapting data products and analytical assets for a new external-facing platform, helping to deliver scalable and accessible data solutions for clients.
The Company
They are a well-established data and analytics organisation that helps businesses make better decisions through trusted data, advanced technology, and cloud-based solutions. As part of a significant platform modernisation initiative, they are expanding their analytics capability and investing in innovative cloud technologies. This role offers the chance to work on large-scale data assets within a highly collaborative environment.
The Role and Deliverables
- Modify and enhance existing data pipelines, analytical tools, and data assets for deployment on a new cloud analytics platform.
- Adapt internal data products to operate effectively within external client sandbox environments.
- Develop, optimise, and maintain data processing solutions using Python and SQL.
- Work with large-scale datasets within Google Cloud and BigQuery environments.
- Collaborate with data, engineering, and platform teams to ensure data assets are fit for purpose.
- Contribute to testing, validation, and ongoing improvement of analytics solutions.
Your Skills & Experience
- Strong proficiency with Python, including hands-on experience using Pandas.
- Experience working with SQL and cloud-based data warehousing technologies.
- Knowledge of Google BigQuery would be highly beneficial.
- Exposure to PySpark and distributed data processing environments.
- Ability to analyse, transform, and optimise complex datasets.
- Strong problem-solving and stakeholder communication skills.
How to Apply
If you have strong Python and SQL expertise and are interested in cloud-based analytics transformation projects, please apply with your latest CV.
To Apply for this Job Click Here
Head of Artificial Intelligence
Philadelphia
$200000 - $230000
+ Data Science & AI
PermanentPhiladelphia, Pennsylvania
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Head of Artificial Intelligence
$200,000-230,000 base + annual bonus
4 days/week in-office
Location: Greater Philadelphia (NJ side)
THE COMPANY
We are partnered with a global manufacturer and technology-driven business operating at the forefront of precision engineering, advanced manufacturing, and imaging solutions. With a strong international presence and continued investment in innovation, the organization is embarking on a significant AI transformation program designed to improve operational efficiency, unlock new revenue opportunities, and embed AI across core business functions.
This is a newly created leadership position offering the opportunity to define and deliver the company’s AI strategy while building a high-performing AI function from the ground up.
RESPONSIBILITIES
- Define and execute the enterprise-wide AI strategy, identifying high-impact opportunities across manufacturing, engineering, supply chain, sales, customer operations, and corporate functions.
- Build, lead, and develop a dedicated AI team, establishing best practices, governance frameworks, and delivery standards for AI and Agentic AI solutions.
- Partner with senior stakeholders and executive leadership to translate business challenges into scalable AI initiatives with measurable ROI.
- Lead the end-to-end delivery lifecycle of AI programs, from use case identification and proof of concept through to production deployment and ongoing optimization.
- Drive adoption of Generative AI and Agentic AI capabilities across the organization, acting as an internal AI advocate and educator.
- Collaborate with analytics, IT, cybersecurity, and external AI partners to develop the data, infrastructure, and operating models required to support enterprise AI initiatives.
- Design and deliver AI training and enablement programs to increase AI literacy and adoption across the business.
- Evaluate emerging technologies and industry trends, ensuring the organization remains at the forefront of AI innovation.
SKILLS AND EXPERIENCE
Required
- Proven experience leading and scaling AI, Machine Learning, Data Science, or Analytics teams.
- Strong understanding of Generative AI, Agentic AI, Large Language Models (LLMs), and their practical business applications.
- Demonstrated success deploying AI solutions at scale within industrial, engineering, manufacturing, or similarly complex environments.
- Ability to engage and influence senior executives while translating technical concepts into business outcomes.
- Experience driving organizational change and promoting adoption of new technologies.
- Strong stakeholder management, leadership, and communication skills.
- Experience managing technology investment budgets and demonstrating business value and ROI.
Desirable
- Experience with Snowflake and modern cloud-based AI ecosystems.
- Familiarity with Agentic AI development frameworks and platforms, including Claude-based tooling.
- Background within manufacturing, engineering, industrial technology, precision engineering, or related sectors.
- Master’s degree or PhD in Computer Science, Data Science, Engineering, or a related discipline.
WHY JOIN?
- Opportunity to shape and lead a company-wide AI strategy at a critical stage of growth and investment.
- Build a new AI capability with executive-level sponsorship and visibility.
- Work on high-impact use cases spanning automation, forecasting, customer experience, operational excellence, knowledge management, and advanced analytics.
- Collaborate with external AI specialists and senior business leaders to drive meaningful transformation.
- Significant scope for career growth and long-term strategic influence.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Head of AI | Artificial Intelligence Director | AI Leadership | Generative AI | Agentic AI | LLMs | Machine Learning | Data Science | Snowflake | Claude Code | AI Strategy | AI Governance | Manufacturing Technology | Industrial AI | Computer Vision | Predictive Analytics | AI Transformation | AI Operations | Executive Leadership | Advanced Analytics
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Retail Media Analyst
London
£400 - £450
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
RETAIL MEDIA ANALYST
£400 – £450 PER DAY INSIDE IR35
REMOTE (WITH AD HOC OFFICE DAYS)
3 MONTH CONTRACT
THE COMPANY:
This leading retailer is investing heavily in its Retail Media capability and is looking for an experienced Retail Media Analyst to support the optimisation and measurement of media performance across multiple customer touchpoints. This is an opportunity to work with a well-established brand, helping shape how retail media campaigns are measured and optimised to drive commercial outcomes.
THE ROLE:
As a Retail Media Analyst, you will play a key role in helping the business maximise the value of its retail media activity through advanced campaign measurement, strategic analysis, and stakeholder consulting. You’ll work across a wide range of marketing channels, partnering with commercial teams to optimise performance and drive better business outcomes. Your responsibilities will include:
- Measure and evaluate the performance of retail media campaigns across multiple channels.
- Partner with commercial stakeholders to advise on campaign setup, tracking methodologies, and performance optimisation.
- Provide strategic recommendations to improve channel effectiveness and maximise commercial performance.
- Analyse activity across CRM, website, paid social, in-store screens, and point of sale (POS).
- Develop and maintain robust measurement frameworks to track campaign success against commercial objectives.
- Carry out customer analytics and digital activity tracking to uncover actionable insights.
- Work extensively with Databricks, SQL, Python, and R to manipulate, analyse, and interpret large datasets.
- Support data integration and transformation projects, including leveraging Google Analytics and BigQuery data within Databricks where required.
- Present analytical findings and recommendations clearly to both technical and non-technical stakeholders.
YOUR SKILLS AND EXPERIENCE:
- Proven experience working within Retail Media Analytics.
- Strong background measuring and optimising campaign performance across multiple marketing channels.
- Excellent stakeholder management skills with the ability to consult senior commercial teams and influence decision-making.
- Advanced SQL skills and extensive experience working with Databricks.
- Strong Python and/or R experience for analysis and modelling.
- Experience with Google Analytics and BigQuery, with exposure to migrating or integrating data into Databricks being highly desirable.
- Experience working with digital tracking, campaign measurement, and customer analytics.
- Ability to translate complex analytical findings into clear commercial recommendations.
HOW TO APPLY:
Please register your interest by sending your CV to Mojola Coker via the apply link on this page.
To Apply for this Job Click Here
Retail Media Analyst (Contract)
London
£400 - £450
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Retail Media Analyst (Contract)
Remote (2-3 days a month in the office)
London-based
£400-450 per day
Inside IR35
3-Month Contract
This is an exciting opportunity for a Retail Media Analyst to join a well-established retail business on a contract basis. You will play a key role in evaluating retail media performance, improving measurement frameworks, and partnering with stakeholders to maximise the impact of campaign activity across a broad media ecosystem.
The Company
They are a recognised consumer-facing organisation with a significant retail media presence across both digital and physical channels. The business is investing in its data and analytics capabilities to better understand campaign performance and support commercial decision-making. You will join a collaborative environment where analytics plays a central role in shaping retail media strategy.
The Role and Deliverables
- Measure and evaluate retail media campaign performance across multiple channels, providing actionable insights to stakeholders.
- Advise internal teams on campaign measurement, channel setup, tracking frameworks, and retail media best practice.
- Partner with commercial stakeholders to align retail media activity with business objectives and performance targets.
- Analyse effectiveness across CRM, point of sale, in-store screens, website activity, and paid social campaigns.
- Develop and maintain robust reporting, tracking, and analytical solutions using the existing data environment.
- Support customer and digital activity analysis to improve understanding of campaign impact and channel performance.
Your Skills & Experience
- Strong experience in retail media analytics, with a proven ability to measure and optimise campaign performance.
- Advanced SQL skills and the ability to work extensively with large-scale datasets.
- Strong hands-on experience with Databricks in a production analytics environment.
- Working knowledge of Python and R for analytics and data manipulation.
- Experience with Google Analytics and BigQuery, including exposure to data migration or integration projects.
- Ability to translate analytical findings into strategic recommendations for both technical and non-technical stakeholders.
- Strong stakeholder management skills and experience working closely with commercial teams.
How to Apply
Register your interest by sending your CV to Ananya Gupta via the Apply Link on this page.
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Senior Salesforce Admin (Service Cloud) – Contract
London
£375 - £420
+ Advanced Analytics & Marketing Insights
ContractLondon
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Senior Salesforce Administrator (Service Cloud)
Travel Client
London
£375-£420 per day – Outside IR35
This is an opportunity to join a well-established consumer-facing organisation on a major customer service transformation programme. You’ll play a key role in improving how customer service teams operate, using Salesforce Service Cloud to automate processes, enhance efficiency, and support best practice across the platform.
The Company
They are a recognised organisation with a large customer service operation and a strong focus on digital transformation. Their Salesforce environment is central to the customer experience, and they are investing in process improvement and automation to drive greater efficiency. This contract offers the chance to work closely with senior Salesforce stakeholders and make a tangible impact within a high-volume service environment.
The Role and Deliverables
- Design and implement Salesforce Service Cloud solutions to support customer service process improvements
- Build and optimise automation using Salesforce Flows, with a focus on low-code and declarative development
- Partner with Customer Service and Salesforce stakeholders to identify opportunities for operational efficiency
- Support the adoption and optimisation of Einstein capabilities within the existing Salesforce environment
- Maintain clear technical and process documentation, ensuring changes are fully recorded and understood
- Manage deployments and environment changes using Gearset, following best practice DevOps processes and version control through GitHub
Your Skills & Experience
- Strong expertise in Salesforce Service Cloud administration within complex environments
- Proven experience creating and maintaining Salesforce Flows to automate business processes
- Experience working in a contact centre or customer service environment
- Knowledge of Salesforce Einstein and its practical application within Service Cloud
- Hands-on experience with Gearset for Salesforce DevOps and deployment management
- Experience using GitHub for version control, documentation, and change management
- Ability to document solutions clearly and work effectively with both technical and non-technical stakeholders
- Preference for declarative, low-code Salesforce solutions rather than custom development approaches
How to Apply
If you are a Salesforce Service Cloud specialist with strong Flow, Einstein, Gearset, and contact centre experience, please apply to discuss this contract opportunity in more detail.
To Apply for this Job Click Here
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