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BI Developer

Leicestershire (Hybrid)

£45,000-£50,000

The Company

An exciting opportunity for a Power BI Developer to join a major UK retail organisation’s finance team, working closely with their analytics function to drive data storytelling, reporting automation, and self-service analytics adoption across the business

The Role

Reporting to the Analytics Manager, you’ll collaborate with SQL engineers and finance stakeholders to deliver high-impact Power BI dashboards supporting four key areas:

1. Accounts Payable – Supplier payments
2. Cash Accounting – Cash flow monitoring (Amex, PayPal, etc.)
3. Commercial Services – Store essentials (e.g., hangers, bags)
4. Operations – Stock levels across stores, warehouses, and tills

Key Responsibilities:

• Develop and maintain Power BI dashboards tailored to finance and operational functions.
• Work closely with business users to gather requirements and translate them into actionable visualisations.
• Utilise data storytelling to enable insight-driven decision-making.
• Support the business in transitioning to self-service analytics, reducing ad hoc reporting.
• Contribute to the team’s shift toward a gold-standard Medallion Architecture

Your Skills & Requirements

• PL-300 Certified (Microsoft Power BI Data Analyst Associate) – please ensure this is explicitly listed on your CV!

How To Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

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Job Advert: 3rd Line Support Engineer – Healthcare Technology

Our client, a leading provider within the healthcare technology sector, is seeking a highly skilled 3rd Line Support Engineer/Technician to join their dynamic and growing IT team.

This is an exciting opportunity for a seasoned technical professional who is passionate about supporting critical healthcare systems and eager to contribute to impactful digital health delivery.

Key Responsibilities:

• Act as the escalation point for complex technical issues across infrastructure, applications, and networking
• Troubleshoot and resolve advanced incidents related to servers, virtual environments, storage, and end-user technologies
• Support specialised healthcare systems and adhere to clinical safety/security standards
• Work collaboratively with 1st and 2nd line teams to ensure seamless service delivery
• Implement improvements, upgrades, and preventative maintenance across the IT estate
• Manage stakeholder communication and ensure minimal downtime for essential healthcare services
• Produce detailed documentation and contribute to knowledge sharing

Skills & Experience:

• Proven experience in a dedicated 3rd line support role
• Strong knowledge of Windows Server, Active Directory, Group Policy, and O365/M365 environments
• Also need someone working with Azure, SQL
• Expertise in virtualisation technologies such as VMware or Hyper-V
• Networking knowledge including DNS, DHCP, TCP/IP, firewalls, and routing
• Experience supporting clinical or healthcare applications (desired but not essential)
• Familiarity with ITIL frameworks and ticketing systems
• Excellent problem-solving, communication, and stakeholder management skills
• Ability to work under pressure while maintaining high accuracy and compliance

Why This Role?

• Opportunity to directly support solutions that improve patient care and operational delivery within healthcare
• Career growth through exposure to advanced technologies and continuous project work
• Supportive environment focused on professional development and innovation

This is a fantastic chance for someone who thrives in a technically challenging environment and wants to make a real difference in the healthcare sector. Candidates with a passion for supporting mission-critical services and delivering exceptional results will excel in this role.

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Business Analyst: Ad Tech

Location: London Hybrid – 3 days in office

Salary: £65,000 + benefits

About the Role

An exciting opportunity for a Business Analyst to join a leading digital media and publishing group, working within their commercial technology and advertising division. You’ll collaborate with senior analysts and product teams to deliver solutions across ad platforms, data systems, and video advertising technology.

This is a hands-on, technically focused role ideal for someone who enjoys working in a fast-paced, data-driven environment. Our client requires all candidates to have Adtech experience.

Key Responsibilities

• Work closely with engineering and product teams to gather and define requirements.
• Translate commercial objectives into detailed technical specifications.
• Support the development and enhancement of ad technology solutions.
• Analyse and document processes, data flows, and systems integrations.
• Contribute to projects involving ad blockers, data pipelines, and analytics (e.g. BigQuery).

Experience & Skills

• 3+ years’ experience as a Business Analyst
• Strong technical understanding and ability to work closely with developers.
• Familiarity with ad tech platforms, data signals, or video ad stacks (e.g. programmatic advertising, publishing media environments).
• Advantageous: exposure to AWS, GitHub, or backend systems.
• Detail-oriented, proactive, and comfortable in a fast-paced commercial environment.
• Preference for candidates from product-led or media/tech organisations

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Data Engineer

Salary: £70,000

Location: London (3 Days per Week in Office)

Join a fast-paced analytics team driving data innovation at a global tech powerhouse! Take ownership of modern data pipelines, shape the future of reporting, and make an immediate impact in a collaborative, forward-thinking environment.

The Opportunity

This is an exciting opportunity to step into a senior-level data engineering role within a global technology business that’s transforming the way customers connect with everyday services. You’ll play a key part in building and optimizing modern data pipelines, supporting a major migration from Tableau to Looker, and ensuring the delivery of clean, reliable, and scalable data solutions.

The team operates with a strong focus on collaboration, innovation, and autonomy, giving you the chance to influence data strategy and mentor others. You’ll work closely with analytics and marketing stakeholders to bring data-driven insights to life and help shape the future of customer experience. This is a role for someone who thrives in a dynamic environment and wants to make a tangible impact from day one.

The Role and Resonsibilities

In this role, you’ll be responsible for building and maintaining reliable, automated data pipelines that power critical business insights. You’ll work across multiple teams to translate complex data needs into scalable, efficient solutions that support reporting and analytics.

A key part of the role will involve supporting a major migration to a new BI platform and ensuring data quality and consistency throughout. You’ll also take ownership of troubleshooting, optimization, and documentation, ensuring smooth operations across diverse data sources. This position offers the chance to mentor others, contribute to best practices, and make a meaningful impact within a collaborative, data-driven environment.

Interview Process

1. SQL Test on Kaggle with one of the team. It’ll be 2 Live-Coding questions so they’ll need to write code. They can ask questions and it’s quite interactive
2. Skills based interview – 45 minutes. 30 minutes questions from JET and then 15 minutes time for candidates to ask questions.

Ready to take ownership of high-impact data projects and shape the future of analytics in a fast-moving, global environment? Bring your expertise, drive innovation, and make your mark, apply now!

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Director of (Platform, Compute, Infrastructure, DevOps) Product Management

Hybrid – London (2 days per week)

£145,000 + Car Allowance + 18% Bonus + Equity

Are you an accomplished product leader ready to define how world-class compute, infrastructure, and DevOps platforms power AI and scientific discovery at global scale?

We’re partnering with a pioneering research-driven organisation investing heavily in AI, ML, and next-generation cloud infrastructure, now seeking a Director of (Platform, Compute, Infrastructure, DevOps) Product Management to lead a portfolio that underpins one of the world’s most advanced digital R&D ecosystems.

Why this role?

• Lead the product strategy and roadmap for platform services enabling AI, ML, and data-driven science.
• Build and mentor a team of high-performing Product Managers, setting standards for excellence and delivery.
• Collaborate with engineering, data science, and research leaders to ensure platforms scale securely and efficiently across global teams.
• Shape the vision for the Onyx Research Data Platform, a foundational capability driving next-generation innovation.
• Hybrid flexibility – 2 days per week in the London office, balance your week remotely.

‍ What you’ll be doing:

• Defining and executing the platform product roadmap across compute, DevOps, and cloud infrastructure.
• Partnering with engineering leadership to deliver scalable platform products that enable scientific and AI workloads.
• Establishing clear goals, metrics, and success criteria for adoption, performance, and business impact.
• Acting as the senior stakeholder interface, communicating technical strategies to executive and business audiences.
• Driving product lifecycle excellence – discovery, delivery, release, adoption, and iteration.
• Mentoring PMs, instilling strong product thinking and alignment with agile principles.

What we’re looking for:

• 8+ years’ experience in product management, with a strong track record of delivering internal platform or developer-focused products.
• Deep understanding of cloud computing, infrastructure-as-code, DevOps tooling, and data/AI platforms.
• Hands-on experience with one or more of: AWS, Azure, GCP, Kubernetes, Terraform, Databricks, or Vertex AI.
• Proven ability to collaborate with engineering and research teams to align platform capabilities with end-user needs.
• Skilled in stakeholder management and influencing at C-suite level.
• A strategic yet pragmatic mindset – able to balance innovation with execution.

✨ Nice-to-haves:

• Experience leading platform or DevOps product teams in life sciences, research, or AI-driven organisations.
• Familiarity with MLOps, GenAI, and large-scale compute orchestration.
• Background in computer science, engineering, or a related technical discipline.

Package & Benefits:

• Base salary up to £145,000.
• Car allowance, 18% bonus, and equity participation.
• Hybrid working – 2 days per week in London.
• Comprehensive benefits including private healthcare and pension.
• Opportunity to shape the future of AI-ready infrastructure that powers scientific discovery globally.

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Staff Marketing Analyst

Location: New York (Hybrid)

Salary: $200,000-$250,000 Base + Bonus + Equity

Join a high-growth SaaS innovator backed by top-tier investors as they scale their Marketing Analytics capabilities to power the next phase of growth. This Staff Marketing Analyst position sits at the intersection of data, marketing, and business strategy-delivering the insights that drive pipeline, accelerate conversion, and optimize customer acquisition across all go-to-market motions.

THE ROLE

As a Staff Marketing Analyst, you’ll own the strategy, architecture, and execution of marketing analytics. You’ll partner closely with Growth, Demand Gen, Digital, and Product Marketing teams to define KPIs, analyze performance, and bring visibility to what’s working and what’s not. Your work will influence campaign spend, GTM roadmap, and executive decision-making.

Key Responsibilities:

• Define and evolve core marketing metrics across the funnel: acquisition, pipeline velocity, ROI, CAC, and attribution.
• Deliver clear, actionable insights through in-depth analysis of cross-channel campaigns (digital, paid, content, lifecycle).
• Build scalable dashboards and automated reporting to support real-time visibility for GTM leaders.
• Partner with RevOps and Sales Analytics to align marketing efforts with revenue impact and customer segmentation.
• Identify optimization opportunities through experimentation frameworks, A/B testing, and customer behavior modeling.
• Develop and maintain clean, well-modeled marketing data sets for long-term scalability and growth analysis.

ABOUT YOU

Required:

• 7+ years of experience in analytics, with a strong track record in Marketing or GTM Analytics at a SaaS or high-growth tech company.
• Advanced SQL skills and deep experience with BI tools like Looker, Mode, or Hashboard. Experience with Python or R a plus.
• Strong understanding of modern SaaS marketing channels and KPIs (e.g. MQL, SQL, pipeline contribution, CAC, LTV).
• Strategic thinker with the ability to translate complex data into simple insights and present them to cross-functional stakeholders.
• Comfortable operating independently in a fast-paced, collaborative environment where priorities evolve quickly.

WHAT’S ON OFFER

• High-impact, high-visibility role with ownership across the full marketing analytics stack.
• Competitive compensation and equity at a top-performing AI-driven SaaS brand.
• Opportunity to shape analytics foundations and influence GTM strategy at scale.
• Collaborative culture, modern tech stack, and hybrid flexibility in NYC.

To Apply for this Job Click Here

To Apply for this Job Click Here

Job Title: Staff Data Scientist

Location: Remote (US Only)

Salary: $200-250k base + equity

About the Company:

Join a mission-focused organization dedicated to revolutionizing global education by providing innovative learning experiences beyond the traditional classroom. The company’s app is widely used across U.S. schools and impacts millions of children worldwide.

Their team is made up of talented and creative professionals with backgrounds in education and top consumer internet companies such as Instagram, Netflix, Dropbox, Stripe, and Uber. They cultivate an environment where top talent can thrive. If you’re eager to work with some of the best minds in the industry, we encourage you to apply!

Position Summary:

As a Staff Data Scientist, you will be a key player in developing the world’s leading consumer education platform. You will be part of a high-achieving, cross-functional team working closely with product, engineering, and design to shape the company’s strategic direction and tackle challenging product and business issues.

Key Responsibilities:

• Utilize data-driven insights to inform decisions and drive our brand toward new milestones
• Work collaboratively with various teams to discover user insights and pinpoint essential product improvements
• Design and analyze AB/multivariate tests to derive actionable conclusions that boost user engagement
• Lead data science projects, influencing strategic choices and addressing complex problems

Your Skills and Experience:

• 8+ years of experience in data science and product analytics
• Experience in the consumer technology sector
• Proficient in writing efficient SQL queries for large datasets
• Skilled in designing and analyzing A/B tests
• Strong understanding of growth strategies for consumer products
• Experience working in fast-paced startup environments
• Excellent verbal and written communication skills
• Strategic thinker with a keen focus on product development
• Innovative approach to using data to drive product strategy

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Marketing Analyst

Location: San Francisco (Hybrid)

Salary: $200,000-$250,000 Base + Bonus + Equity

Join a high-growth SaaS innovator backed by top-tier investors as they scale their Marketing Analytics capabilities to power the next phase of growth. This Staff Marketing Analyst position sits at the intersection of data, marketing, and business strategy-delivering the insights that drive pipeline, accelerate conversion, and optimize customer acquisition across all go-to-market motions.

THE ROLE

As a Staff Marketing Analyst, you’ll own the strategy, architecture, and execution of marketing analytics. You’ll partner closely with Growth, Demand Gen, Digital, and Product Marketing teams to define KPIs, analyze performance, and bring visibility to what’s working and what’s not. Your work will influence campaign spend, GTM roadmap, and executive decision-making.

Key Responsibilities:

• Define and evolve core marketing metrics across the funnel: acquisition, pipeline velocity, ROI, CAC, and attribution.
• Deliver clear, actionable insights through in-depth analysis of cross-channel campaigns (digital, paid, content, lifecycle).
• Build scalable dashboards and automated reporting to support real-time visibility for GTM leaders.
• Partner with RevOps and Sales Analytics to align marketing efforts with revenue impact and customer segmentation.
• Identify optimization opportunities through experimentation frameworks, A/B testing, and customer behavior modeling.
• Develop and maintain clean, well-modeled marketing data sets for long-term scalability and growth analysis.

ABOUT YOU

Required:

• 7+ years of experience in analytics, with a strong track record in Marketing or GTM Analytics at a SaaS or high-growth tech company.
• Advanced SQL skills and deep experience with BI tools like Looker, Mode, or Hashboard. Experience with Python or R a plus.
• Strong understanding of modern SaaS marketing channels and KPIs (e.g. MQL, SQL, pipeline contribution, CAC, LTV).
• Strategic thinker with the ability to translate complex data into simple insights and present them to cross-functional stakeholders.
• Comfortable operating independently in a fast-paced, collaborative environment where priorities evolve quickly.

WHAT’S ON OFFER

• High-impact, high-visibility role with ownership across the full marketing analytics stack.
• Competitive compensation and equity at a top-performing AI-driven SaaS brand.
• Opportunity to shape analytics foundations and influence GTM strategy at scale.
• Collaborative culture, modern tech stack, and hybrid flexibility in SF.

To Apply for this Job Click Here

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Job Title: Staff Analytics Engineer

Location: Remote (US Only)

Salary: $200-235k base + Equity

Are you passionate about using data to shape impactful learning experiences? Join a leading ed-tech company on a mission to provide an education kids love.

As a Staff Analytics Engineer on their Data Science & Analytics team, you’ll play a pivotal role in making data accessible, accurate, and actionable across the company. Partnering closely with product and engineering teams, you’ll play a key role in driving their data architecture forward, enabling scalable data solutions that support product development, growth, and decision-making.

What You’ll Do:

• Data Architecture & Modeling: Design and manage large-scale data warehouses and marts, creating clean, accessible fact and dimension tables to drive insights.
• Data Transformation: Build and optimize data transformation pipelines using tools like dbt, supporting data flow from ingestion through analytics.
• Collaboration: Partner effectively with engineers, data scientists, and stakeholders, driving data projects that align with team roadmaps and impact the business.
• Governance & Quality: Champion data governance principles and quality standards, ensuring data lineage, documentation, and metadata are maintained.
• SQL & Query Optimization: Create efficient, performant SQL queries, leveraging your expertise in window functions, data partitioning, and clustering.

About You:

• 7+ years of experience in data and analytics engineering
• Expertise in SQL and schema design (e.g., Snowflake, Data Vault) with experience in data cataloging and governance tools
• Skilled in SQL frameworks like dbt and orchestration tools like Airflow
• Experienced with data transformation and ETL best practices
• Strong collaborator, capable of driving projects from ideation through implementation

Why Join?

• Mission-Driven Work: Contribute to transforming education for millions of students worldwide.
• Product Impact: Play a central role in product innovation, making data accessible and actionable for meaningful change.
• Culture of Excellence: Work with a team that includes talent from top tech companies, in an environment that prioritizes growth, collaboration, and purpose.

Apply today to join a team where your expertise in analytics engineering can make a world of difference.

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AI Software Engineer

Remote (US – ET/CT Time Zone)
$120K-$160K + Benefits

I’m partnering with a global leader in digital learning technology that’s transforming how millions of students and educators experience personalized, AI-powered learning. Following major investment in generative AI, the company is scaling its AI Platform Engineering team to build the next generation of adaptive learning tools.

This is a hands-on engineering role focused on building production-grade generative AI applications that power multiple products across the business.

The Role:

You’ll design and build scalable, full-stack systems that integrate large language models and AI capabilities into digital learning platforms. Working closely with data scientists, product managers, and engineers, you’ll help take GenAI prototypes from experimentation to production-driving forward real-world AI impact.

Key Responsibilities

• Develop and maintain AI-powered applications and platform services that are reliable, scalable, and secure
• Build and optimize LLM-based and RAG-powered solutions using frameworks such as LangChain or LangGraph
• Collaborate with Data Science teams to productionize models and streamline deployment pipelines
• Lead and contribute to technical design, architecture, and CI/CD improvements
• Ensure applications meet accessibility (WCAG 2.2 AA), performance, and security standards
• Stay current on the latest advancements in GenAI and advocate for best practices across the team

About You

• 5+ years of professional software engineering experience
• Strong full-stack skills across:
• Backend: Python, Node.js, or Go
• Frontend: Angular or React
• Databases: MySQL/PostgreSQL + NoSQL (e.g., DynamoDB)
• Cloud/Infra: AWS or Azure, Terraform, CI/CD tools
• Hands-on experience building AI/GenAI-enabled applications (Azure OpenAI, Amazon Bedrock, etc.)
• Practical understanding of RAG techniques, vector databases, and AI orchestration tools
• Strong system design, performance optimization, and collaboration skills
• Passionate about building impactful technology and staying ahead in the AI space

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