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Junior Web Analyst

£30,000-£33,000 Manchester – Hybrid (2 days per week onsite)

I’m hiring a Junior Web Analyst to join a growing Data & Insights team within one of the UK’s largest education and professional training providers.

This is a fantastic opportunity for an early-career analyst who wants to develop their skills in GA4, SQL, CRO analytics, and digital insight, working across a large portfolio of websites that support apprenticeships, education, and professional training.

The role

You’ll join an established web analytics function and become the second dedicated hire in the team, supporting a growing number of websites and digital products.

This role sits within a wider Data & Insights team of around 10 people, working closely with stakeholders across marketing, digital, product, and web teams.

The focus is on understanding:

• How users interact with websites
• Where customers drop out of journeys
• What impacts conversion performance
• How digital experiences can be improved using data

This is an excellent opportunity for someone looking to build a long-term career in web analytics and digital optimisation.

What you’ll be doing

• Analyse website performance using GA4
• Investigate customer journeys and user behaviour
• Support CRO and optimisation initiatives
• Use data to identify opportunities for improving conversion rates
• Build reports and communicate findings to stakeholders
• Work with SQL and BigQuery datasets
• Support tagging and digital measurement activities
• Help drive data-led improvements across multiple websites

What they’re looking for

Ideal experience

• Around 1+ year of experience in:
  • Web Analytics
  • Digital Analytics
  • Marketing Analytics
  • CRO Analytics
• Hands-on experience with Google Analytics 4
• Basic SQL skills
• Strong communication skills
• Curiosity and enthusiasm for digital analytics

Nice to have

• BigQuery experience
• Exposure to Google Tag Manager
• Experience working with digital marketing or website data
• Commercial analytics experience
• A relevant degree with strong analytical exposure

Open to

They’re happy to consider:

• Junior Digital Analysts
• Web Analytics Executives
• Marketing Analysts
• Graduates with some commercial analytics experience
• SQL analysts with a genuine interest in web analytics

The most important thing is someone who is keen to learn, collaborative, and excited about developing their career.

Why join?

• Excellent first or second analytics role
• Join an established analytics and insight function
• Exposure to SQL, BigQuery, GA4, and CRO
• Supportive team who enjoy coaching and developing people
• Clear progression opportunities as the digital analytics function continues to grow
• Work on meaningful websites that help people access education and qualifications

Working pattern

Manchester

• 2 days per week in the office
• Wednesday is the core team day
• One additional day of your choosing
• One department-wide Tuesday per month

Interview process

15-minute intro conversation

1-hour face-to-face interview including:

• Data interrogation exercise
• Discussion around findings
• Team fit and motivations

Fast process with interviews available immediately.

If you’re looking for a role where you can develop your GA4, SQL, CRO, and web analytics skills in a supportive environment, this is a brilliant opportunity.

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Senior / Staff Analytics Engineer
Location: Columbus, OH
Compensation: Up to $220K

About the Role

We’re hiring a Senior / Staff Analytics Engineer to join a high-performing team focused on building scalable data products, analytical systems, and performance frameworks that improve product visibility and operational decision-making across the business.

This role is ideal for someone who thrives in complex environments, enjoys building from the ground up, and can own analytical systems end-to-end – from modeling and transformation to workflow automation and performance optimization.

Depending on your strengths and business priorities, you may work across product analytics, operational performance, product quality initiatives, or customer experience insights.

This is a high-impact role where strong technical ownership and cross-functional influence are equally important.

What You’ll Do

Data Modeling & Analytics Infrastructure

• Design, build, and maintain scalable data models to support analytics, reporting, and business decision-making
• Develop data products that improve visibility into product performance, quality trends, and operational workflows
• Build and optimize transformation pipelines to improve data reliability, accessibility, and speed
• Partner with engineering teams to improve data quality, instrumentation, and data consistency across systems

Performance Analytics & Optimization

• Build analytical workflows that improve operational efficiency and product performance visibility
• Create frameworks for monitoring performance trends, surfacing optimization opportunities, and supporting strategic initiatives
• Support analytics use cases across connected systems and high-volume operational environments
• Improve the flow of data across platforms to enable faster insights and better decision-making at scale

Cross-Functional Partnership

• Work closely with Product, Engineering, Finance, and Operations teams to translate business needs into scalable analytical solutions
• Build trusted relationships with stakeholders and influence product and operational strategy through data-driven insights
• Help define analytical standards and improve best practices across teams

Technical Leadership

• Own analytical systems and data products with increasing autonomy and accountability
• Contribute to data architecture and analytics strategy across the organization
• Mentor peers and help raise the bar on analytics engineering best practices
• Balance short-term business priorities with long-term scalability and maintainability

What We’re Looking For

• Senior: 6+ years of experience in Analytics Engineering, Data Engineering, or related data-focused roles
• Staff: 8-10+ years of experience in highly technical, fast-moving environments
• Strong expertise in SQL and Python
• Deep understanding of data modeling principles, including dimensional and entity-based modeling
• Strong understanding of data systems, performance tradeoffs, and analytical architecture
• Experience building scalable data products and transformation pipelines
• Experience supporting product performance, operational analytics, or customer-facing product environments
• Strong stakeholder communication skills and ability to operate autonomously in ambiguous environments

Preferred Qualifications

• Experience working with modern analytics engineering tooling such as dbt
• Exposure to connected product ecosystems, event-driven systems, or high-volume data environments
• Experience working in product-driven, consumer technology, mobility, or hardware-adjacent environments
• Strong business acumen and ability to translate data into operational or strategic impact

Why Join?

This is an opportunity to work on high-value, product-driven challenges where analytics directly shape product quality, operational performance, and long-term growth. You’ll have significant ownership, strong visibility, and the ability to make measurable impact from day one.

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Senior Data Engineer

Location: 100% Remote – US
Level: Senior

The Opportunity

We’re looking for a senior-level Data Engineer to take ownership of complex data engineering initiatives and help shape a scalable, reliable data platform.

This is a hands-on technical leadership role for someone who enjoys solving difficult data problems, improving engineering standards, and mentoring other engineers while remaining close to the technology.

What You’ll Do

• Provide technical leadership across data engineering, including architecture, engineering standards, code quality, and technical problem-solving.
• Design and build scalable ELT pipelines supporting data products and analytics.
• Own data modeling, transformations, and integration of new data sources.
• Partner closely with engineering, product, analytics, and customer-facing teams to resolve complex data and platform issues.
• Lead initiatives from technical design and planning through development, testing, deployment, and ongoing optimization.
• Improve platform reliability, scalability, automation, observability, and overall engineering efficiency.
• Establish and promote best practices around data engineering productivity, quality, and maintainability.
• Contribute to technical strategy and the ongoing evolution of the data platform.
• Mentor and support a team of data engineers, helping raise technical capability and engineering standards.

What You Bring

• Expert-level SQL skills.
• Strong Python experience within data engineering or ELT environments.
• Strong understanding of data modeling and large-scale data transformation.
• Experience designing and managing data ingestion pipelines across multiple data sources.
• Hands-on experience with Airflow or a comparable orchestration framework.
• Strong Linux/Unix experience.
• Experience working with large datasets and inconsistent or complex data quality.
• Previous experience leading or managing a technical team of approximately 3-5 engineers.
• Strong ability to operate at both architectural and hands-on implementation levels.

Nice to Have

• Experience with dbt.
• Exposure to Astronomer, Dagster, or similar workflow orchestration technologies.
• PostgreSQL experience.
• Experience with MPP / distributed database architectures.
• Healthcare or similarly complex data environments.
• Experience working across multiple database technologies.

Why This Role?

This is an opportunity to have meaningful technical ownership over a growing data platform, influence engineering standards, and make an impact across both architecture and day-to-day delivery-all while working remotely within the US.

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Manager of Data Engineering
Location: Miami, FL
Compensation: Up to $180K Base + Benefits

Build, Scale & Lead a High-Performing Data Engineering Team

A growing organization is looking for an experienced Manager of Data Engineering to help expand its data engineering capabilities and lead a talented team of engineers.

This is a hands-on leadership opportunity for someone who enjoys operating at the intersection of people, technology, and delivery. You’ll provide technical leadership, mentor engineers, influence architecture, and help establish the processes and standards needed to support a growing data environment.

You’ll have meaningful ownership over engineering delivery and the opportunity to make a direct impact on how data is built, managed, and used across the organization.

What You’ll Do

• Lead, mentor, and develop a team of Data Engineers while fostering a strong engineering culture.
• Manage the delivery of multiple data initiatives from planning through implementation.
• Influence data architecture, engineering standards, and development practices.
• Design and develop scalable data pipelines, transformations, and models.
• Improve the reliability, scalability, and performance of existing data infrastructure.
• Establish effective approaches to data testing, monitoring, validation, and quality.
• Partner with analytics, technology, operations, and business stakeholders to translate requirements into effective data solutions.
• Manage priorities, roadmaps, sprint planning, and backlog execution.
• Identify opportunities to improve automation, scalability, documentation, and engineering efficiency.
• Provide hands-on technical guidance and support the team in solving complex engineering challenges.

What We’re Looking For

• 8+ years of experience in Data Engineering, Data Platforms, Analytics Engineering, or a related technical discipline.
• 3+ years of experience leading or managing engineering teams.
• Proven experience building and scaling modern data platforms and pipelines.
• Strong hands-on experience with SQL and Python.
• Experience with modern ELT/ETL practices.
• Strong understanding of data modeling and data architecture.
• Experience implementing data testing, monitoring, and quality practices.
• Comfortable working in a hands-on leadership role with strong technical depth.
• Excellent communication, problem-solving, and stakeholder management skills.
• Experience within a high-growth technology or similarly complex environment is preferred.
• Bachelor’s degree in Computer Science, Engineering, Data, or a related field preferred.

Why This Role?

This is an opportunity to build and scale a Data Engineering team while remaining close to the technology.

You’ll have meaningful influence over technical decisions, engineering practices, and delivery while working alongside teams across the wider organization.

For an experienced Data Engineering leader who wants a combination of team leadership, technical ownership, and the opportunity to build, this is an excellent opportunity.

To Apply for this Job Click Here

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Director of Quantitative Operations

Up to £100,000 + Quarterly Bonus Remote (UK) | London Office Available

I’m hiring a Director of Quantitative Operations for a highly respected healthcare insights and research organisation, part of a globally recognised healthcare data and research group. This is a leadership role focused on operational excellence, team performance, and project delivery across quantitative healthcare research programmes.

The business combines the agility and specialist expertise of a healthcare research consultancy with the backing and scale of a global organisation, delivering research and healthcare data services to pharmaceutical, biotech, and healthcare clients across Europe and beyond.

The Opportunity

This role leads the UK & European Quant Operations function, overseeing the delivery of quantitative healthcare research projects that support clinical trials, healthcare studies, and pharmaceutical research initiatives.

Importantly, this is not a research design or insights role.

Instead, you’ll be responsible for:

• Leading operational delivery teams
• Managing project and fieldwork operations
• Optimising processes and performance
• Developing leaders and future talent
• Driving operational excellence and client satisfaction
• Ensuring projects are delivered efficiently, profitably, and to the highest quality standards

The team generates approximately £12m-£15m of annual project revenue, making this a highly visible leadership position.

What You’ll Be Doing

Leadership & Team Development

• Lead, coach, and develop a team of approximately 12 people across operations and project management functions
• Drive succession planning and team development
• Manage team performance, resource allocation, and utilisation
• Build a high-performing, delivery-focused culture

Operational Excellence

• Oversee day-to-day quantitative research operations across the UK and Europe
• Ensure projects are delivered on time, within budget, and to agreed quality standards
• Develop and implement best practices across project delivery and operational workflows
• Continuously improve efficiency, scalability, and profitability

Stakeholder & Client Management

• Work closely with clients to understand project requirements and operational feasibility
• Build credibility with senior internal and external stakeholders
• Ensure excellent communication between operations, client services, finance, and wider business functions

Strategic Contribution

• Support the implementation of departmental strategy and growth plans
• Partner with senior leadership to enhance operational delivery capabilities
• Contribute to service innovation and operational improvements across the business

What They’re Looking For

Essential

• Strong background in quantitative research operations
• Healthcare, pharmaceutical, healthcare insights, or healthcare data collection experience
• Proven experience leading operational or project delivery teams
• Experience managing budgets, resources, and project portfolios
• Strong stakeholder management and executive-level communication skills
• Ability to operate in a fast-paced, delivery-driven environment
• Experience within market research, healthcare research, or healthcare fieldwork operations

Highly Desirable

• Clinical trials or healthcare recruitment experience
• Experience working with healthcare professionals or physician research panels
• Experience within healthcare insights or patient recruitment environments
• Exposure to ISO 20252 / 26362 standards and healthcare research regulations

The Ideal Candidate

You’re likely currently operating as a:

• Research Operations Director
• Associate Director, Research Operations
• Head of Operations
• Healthcare Research Operations Manager
• Quantitative Operations Lead
• Research Delivery Director
• Healthcare Fieldwork Director

You’ll be comfortable balancing strategic leadership with operational execution, and you’ll bring the gravitas needed to influence senior stakeholders both internally and externally.

Why Join?

• Join a globally recognised healthcare insights organisation
• Lead a significant operational function across the UK and Europe
• Strong reputation within pharma and healthcare research
• Fully remote working available
• Backed by a major international healthcare business
• Significant autonomy and visibility
• Opportunity to shape and develop a high-performing team

Package

• Up to £100,000 base salary
• Quarterly performance bonus (company + individual performance)
• Remote-first working
• London office available
• Travel support during onboarding where required

Interview Process

1. CV Review
2. Online soft-skills assessment (30-45 minutes)
3. Initial interview with Managing Director
4. Final-stage presentation and panel interview

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Director of Quantitative Operations

£100,000 + bonus |London – x2 days a week

A leading specialist research business is looking for a Director of Quantitative Operations to take ownership of a high-performing operational function and play a key role in the continued growth of the business.

This is a senior leadership opportunity, responsible for team performance, operational delivery, resource planning and client satisfaction, with oversight of a significant portfolio of projects.

You’ll lead and develop a sizeable team, improve processes and ways of working, ensure high standards of delivery and act as a senior point of contact for key clients and internal stakeholders. The role will also work closely with senior leadership on commercial performance, growth and longer-term departmental strategy.

We’re looking for an experienced Quantitative Research Operations professional, ideally from a healthcare, pharmaceutical or wider market research/insights environment. Strong people leadership, client management, organisational skills and commercial awareness are key.

The role could suit an experienced senior manager looking to take the next step into a Director-level position, as well as an established leader looking for a broader remit.

Up to £100,000 base + bonus – x2 days a week in London

Find out more and apply via the link below!

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