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Customer Analyst
£45,000-£50,000 + Bonus
Stratford-upon-Avon (Hybrid – 1x Day a Week in Office)

If you’re a SQL-heavy analyst tired of insight going nowhere, this is where your work actually turns into live customer campaigns! Brand-new role, strong team, and a business investing heavily in customer data + marketing capability.

The Company

You’ll be joining a leading UK insurer with a strong reputation for customer experience and long-term stability; they’re in the middle of a major data transformation, with new platforms, better access to customer data, and a real push towards data-led decision making across the business.

The Role

Sitting in the Customer Selections & Analytics team, you’ll own the delivery of campaign selections end-to-end. This is a hands-on SQL role with clear commercial impact.

Key responsibilities:

• Build and deliver campaign selections using SQL
• Translate marketing briefs into technical requirements
• Work across CRM, transactional & engagement datasets
• Support test & learn campaigns and performance tracking
• Push selections into CRM (moving to Dotdigital)
• Plan and manage campaign cycles 1-2 months ahead

You’ll work across Financial Services, Personal Lines & Commercial, giving you broad exposure across the business.

Your Skills & Experience

• Strong SQL
• Background in campaign selections / CRM / customer analytics
• Experience working with large datasets
• Ability to translate business needs into data outputs

The Benefits

• £45,000-£50,000
• Bonus

How to Apply

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

To Apply for this Job Click Here

To Apply for this Job Click Here

I’m hiring a Customer Selections & Analytics Consultant for a long‑established UK insurance business that’s continuing to invest in its customer analytics and marketing capability.

This is a hands‑on SQL role focused on campaign targeting and performance analysis, sitting in a team that directly influences how the business engages and retains its customers.

The company

A well‑known UK insurer with a long history, now serving a wide range of customers across business, home, motor and pet insurance.

Data is central to how they grow and retain customers, with a strong focus on improving customer value and engagement through smarter targeting and insight.

The role

You’ll sit within a team of SQL‑driven analysts responsible for:

• Building the audiences for marketing campaigns
• Ensuring the right customers are targeted at the right time
• Analysing campaign performance and driving improvements

This is a true end‑to‑end CRM analytics role – from selection through to insight.

What you’ll be doing

• Build customer selections using SQL, based on campaign briefs
• Segment audiences to support targeted marketing activity (e.g. cross‑sell and retention campaigns)
• Work with stakeholders across the business to understand campaign requirements
• Analyse campaign performance and provide clear, actionable insight
• Present findings back to stakeholders to improve future campaigns
• Support the development of dashboards and reporting for campaign evaluation
• Help refine targeting approaches through continuous feedback and optimisation

What you bring

Must‑haves

• Strong SQL skills
• Experience in campaign selections / CRM / customer analytics
• Experience building audiences and segmenting customer data
• Experience analysing campaign performance and delivering insights
• Ability to work with stakeholders and explain results clearly
• Good communication and presentation skills

Nice to have

• Experience in insurance or regulated environments
• Experience with Power BI or other visualisation tools
• Understanding of test‑and‑learn / campaign optimisation approaches

Why this role

• Own end‑to‑end campaign analytics – not just reporting
• Work in a team that directly impacts customer strategy and revenue
• Strong bonus (17.5%) alongside salary
• Flexible hybrid working (1 day onsite)
• Fast interview process

Location

• Based in Stratford‑upon‑Avon
• 1 day per week onsite
• Commutable from Birmingham, Coventry, Warwick, Leicester, Nottingham, and surrounding areas

Interview process

• SQL test (sent upfront)
• Single competency interview
• Fast turnaround

If you have experience in CRM or campaign analytics and want a role where you can own both targeting and insight, this is a great opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Analyst

£55,000-£65,000 + Share Scheme

Lancashire (Hybrid – 2x Days a Week in Office)

If you enjoy shaping strategy, proving ROI, and building what “good” looks like in CRM and retention, this is the role for you!

The Company

A fast-growing, family-led healthcare retail group with 550+ practices across the UK & Ireland is seeking a Senior Analyst as they invest heavily on providing long-term commercial value to their partners

The Role

Sitting within the CRM function, this role is all about using data to drive smarter customer engagement.

You’ll:

• Analyse campaign performance, retention, and lifecycle activity
• Lead A/B testing and prove commercial impact (ROI focus)
• Support the rollout of a central CRM strategy and best practice
• Work on large-scale reactivation & recall programmes
• Partner with commercial, marketing, tech, and external teams
• Contribute to a new customer data warehouse build

It’s a role with real influence – you won’t just report on campaigns, you’ll shape them.

Your Skills & Experience

• SQL – strong experience
• Campaign analysis, A/B testing, and retention focus
• Ability to tie insight to commercial outcomes
• Experience working with large-scale consumer data
• Strong stakeholder management and communication skills
• Retail, healthcare, or B2C/D2C backgrounds are ideal, not though essential

The Benefits

• £55,000-£65,000
• Share Scheme

How to Apply

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Product Analyst

£60,000-£70,000 + Bonus + Equity

Fully Remote in the UK

If you’re a Product Analyst who enjoys finding the questions others haven’t asked yet, influencing product strategy, and using data to drive measurable growth, this could be the role for you!

The Company

A fast-growing global membership platform is redefining pet care and travel, connecting pet owners with trusted house and pet sitters across more than 140 countries. With a mission to become the world’s most-loved travel solution for pet people, the business has built a highly engaged global community and is continuing to invest heavily in its product and data capabilities. This is a genuinely product-led environment where analytics plays a key role in shaping what gets built next. You’ll be joining a collaborative, mission-led team where passion for the product and the customer experience really matters.

The Role

As a Senior Product Analyst, you’ll work within the Product Analytics team, supporting key product growth areas across the business. Your focus will be on acquisition, conversion, product usage and growth within the product experience. You’ll work closely with Product, Engineering, UX, Design and Commercial stakeholders, using behavioural data to identify opportunities, challenge assumptions and influence what gets built. I am looking for someone who can proactively identify problems and opportunities, develop a point of view and translate analysis into measurable business outcomes.

You’ll be responsible for:

• Owning growth analytics across the acquisition and conversion funnel
• Analysing product behaviour to identify opportunities and friction points
• Leading event tracking and instrumentation for new product features
• Defining tracking requirements, success metrics and guardrail metrics
• Designing and analysing A/B and multivariate experiments
• Using event-level data to understand user behaviour and improve activation and conversion
• Building dashboards and self-serve reporting for stakeholders
• Challenging assumptions and influencing product and commercial decisions through data
• Turning analysis into clear, actionable recommendations for Product teams
• Helping raise the analytical standard across the wider team

The successful candidate will be someone who can clearly demonstrate what problem they solved, how they approached it analytically, and what measurable impact their work had.

Your Skills & Experience

• Strong Product Analytics experience
• Advanced SQL skills
• Strong experience with event tracking and instrumentation
• Experience using tools such as Amplitude, Mixpanel, Segment or similar
• Strong experience with A/B testing and experimentation
• Experience owning analysis end-to-end with minimal direction
• Strong understanding of product metrics including conversion, activation and churn
• Excellent stakeholder management and data storytelling skills
• The ability to influence product decisions through data rather than simply report on performance

Experience within a SaaS, subscription or marketplace business would be highly desirable, particularly where you’ve worked with complex customer journeys and conversion funnels.

It would also be advantageous to have:

• Product Growth Analytics experience
• Customer lifecycle, retention, churn or LTV analysis
• dbt
• Python or R
• Experience using AI tools within analytical workflows
• Dashboarding experience

This is a product analytics role rather than a marketing analytics role, so candidates whose experience is primarily focused on paid media, attribution or channel-mix modelling are unlikely to be the right fit.

The Benefits

• £60,000-£70,000 salary
• Discretionary 10% quarterly bonus
• Generous equity package
• Fully remote working across the UK
• Offices available in London and Brighton, but no mandated office days
• Quarterly all-expenses-paid company offsites
• Flexible working hours
• 25 days holiday + bank holidays + festive closure
• Bupa Health & Dental Insurance
• SimplyHealth healthcare cash plan
• £200 annual home office allowance
• MacBook and Apple accessories
• Premium membership to the platform
• £500 annual contribution towards travel to house sits
• Personal development and learning budget

How to Apply

Click the link to apply!

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Analytics Engineer

Location: Remote
Salary: $200-250k

Are you a data expert ready to drive transformative analytics at a cutting-edge cloud platform company? This fast-growing Series C innovator is revolutionizing how teams build, preview, and deploy high-performance digital applications.

About the Role

The Staff Analytics Engineer will lead the design and implementation of robust data models and pipelines, enabling business units to uncover insights and make data-driven decisions. This role is a unique chance to collaborate with engineering, product, and business teams, building scalable analytics systems that power operational efficiency and growth.

Key Responsibilities

• Design and maintain scalable data models and pipelines to serve as a single source of truth across the enterprise.
• Develop tools to enhance data accessibility, auditing, and validation, ensuring consistent, trustworthy datasets.
• Partner with cross-functional teams to uncover actionable insights and support decision-making.
• Build self-service analytics tools and dashboards for key stakeholders, streamlining workflows.
• Collaborate on advancing the company’s data platform using cutting-edge tools like dbt, Snowflake, and Superset.
• Lead initiatives to improve data quality, governance, and discoverability, ensuring alignment with business goals.

About You

• 8+ years of experience in analytics engineering or a similar role in a modern tech company.
• Advanced proficiency in SQL, with experience working on complex datasets.
• Expertise in data platforms like Snowflake or BigQuery and transformation tools like dbt.
• Familiarity with programming languages such as Python, Java, or Go.
• Experience with BI tools like Hashboard or Superset, and a strong grasp of schema design and dimensional modeling.
• Strong communication skills and the ability to collaborate in a fast-paced environment.

Be part of a forward-thinking team where data is at the core of every decision. If you’re passionate about transforming data into meaningful insights, this role offers the chance to work on impactful projects, collaborate with top talent, and make a lasting difference.

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To Apply for this Job Click Here

Principal Software Engineer – Data Platform

San Francisco, CA (Remote Eligible – US Only)

$230K-$280K base + equity

Are you ready to lead the design and build of a world-class data platform from the ground up?

A high-growth, product-led tech company is looking for a Principal Software Engineer to lead the build-out of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you.

As the most senior technical IC on the Data Platform team, you’ll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake.

Why this role?

• Join a growing Data Platform team
• Own the technical vision and architecture end-to-end
• Tackle petabyte-scale data challenges and real-time streaming use cases
• Work with a cutting-edge tech stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.)
• Drive platform evolution to support AI/ML and company-wide analytics

What You’ll Do

• Design and build a next-gen data platform to power product and internal use cases
• Architect for batch + streaming, scalability, fault tolerance, and low latency
• Lead data modeling, warehousing, governance, and ingestion best practices
• Champion engineering excellence and mentor senior engineers
• Align technical decisions with long-term business strategy
• Optimize for performance, cost, and resiliency in a modern cloud environment

What We’re Looking For

• 8+ years of experience in data engineering or platform architecture
• 5+ years at the Principal Engineer level or equivalent
• Deep expertise with Kafka (and its ecosystem), streaming data systems
• Strong experience with ClickHouse, Iceberg, Snowflake, or similar tools
• Cloud-native architecture expertise (AWS, GCP, or Azure)
• Track record of designing data systems for compliance and governance
• Experience scaling systems to support petabyte-level workloads
• Excellent communication, collaboration, and leadership skills
• Bonus: Experience enabling AI/ML platforms or preparing for IPO-scale growth

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Growth Product Analyst

US Remote

$200-240k base + equity

About the Role:

We’re looking for a Staff Growth Product Analyst to drive impactful growth analytics for an innovative AI-driven development platform that’s transforming how developers create and deploy user interfaces. Leveraging cutting-edge AI technologies, this platform enables rapid prototyping and significantly accelerates product development, enhancing user growth, engagement, and overall developer experience.

Role Highlights:

• Deep dive into user behaviors, journeys, and growth funnels to uncover opportunities for enhanced engagement and acquisition.
• Generate actionable insights aimed at boosting critical growth metrics like DAU, MAU, and user retention.
• Design, execute, and analyze A/B tests to drive informed decision-making and product improvements.
• Influence strategic decision-making through rigorous data analysis and compelling recommendations.
• Collaborate cross-functionally with product managers, engineers, data scientists, and growth marketers to drive continuous product improvement and iteration.

Who You Are:

• You have 7+ years of proven expertise in growth and product analytics, ideally within early-stage or innovation-driven product environments.
• You’re adept at conducting thorough funnel analyses, spotting rapid experimentation opportunities, and recommending actionable product enhancements.
• You thrive on solving complex analytical problems with high energy and intellectual rigor.
• Experienced with modern data stack (e.g., Snowflake, dbt, Preset, Hashboard, Kafka, Fivetran, Omni, Hex, Sigma, SQL, Python).
• You have previous experience (or a strong interest) in working with AI or machine learning-driven products.

Ideal Fit: You’re a driven, collaborative analytics expert passionate about influencing groundbreaking products. Excited by high-paced, innovative environments, you’re motivated by measurable impact and shaping the future of developer-focused, AI-powered technologies.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Analytics Engineer
Location: Los Angeles, CA (Hybrid)

Salary: $150-200k base

We’re partnering with a rapidly scaling, mission-focused advanced technology company operating at the intersection of AI, hardware, and large-scale systems. Their software platform aggregates and operationalizes complex, real-time data to power critical decision-making in high-stakes environments.

As the company continues to grow, they are hiring a Senior Analytics Engineer to help architect and scale the core data foundation of the business.

The Opportunity

You will design and implement the core data models that represent how the organization operates across functions such as Finance, Supply Chain, Manufacturing, People, and Operations. These models will power internal applications, workflows, and metrics used by leadership to run the business.

You’ll sit at the intersection of analytics, engineering, and operations, helping build a scalable “digital twin” of a fast-moving, technically complex organization.

What You’ll Do

• Define and develop domain-level data models that reflect real business operations
• Build secure, scalable, and extensible transformations and data pipelines
• Own ingestion and egress frameworks across multiple source systems
• Contribute to architectural decisions and roadmap direction for the data platform
• Partner cross-functionally with engineering, product, and operations stakeholders
• Translate ambiguous business questions into structured, production-grade data systems
• Drive adoption of self-serve data applications beyond traditional BI

What They’re Looking For

• 5+ years of experience in Analytics Engineering, Data Engineering, or highly technical analytics roles
• Advanced SQL skills and strong experience with Python or similar languages
• Demonstrated success building scalable, reusable data models in fast-paced environments
• Experience with modern data stack tools such as dbt, Redshift, and BI platforms; exposure to enterprise data platforms is a plus
• High degree of ownership and comfort operating autonomously
• Strong communication skills and ability to partner with non-technical stakeholders
• Ability to obtain and maintain a U.S. Secret security clearance

This is a high-impact opportunity to shape foundational data systems inside a company solving complex, real-world problems at scale. If you’re excited by building data applications that influence how an organization operates, click apply to learn more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead AI Engineer
Location: San Francisco Bay Area | Hybrid
Salary: $250-300k + Equity

Join a well-funded, AI-native startup at the forefront of redefining how digital products are designed and shipped.

This team is building a next-generation design platform where every screen is real, production-ready code. Designers work directly in the medium that ships, not static mockups, with AI deeply embedded into the workflow to accelerate iteration while preserving precision, consistency, and control.

Backed by top-tier Bay Area investors and senior product leaders from companies including Shopify, Notion, Dropbox, Stripe, and OpenAI, the company has strong runway, a high bar for talent, and ambitious plans ahead.

They’re now hiring their first dedicated Lead AI Engineer to own the model layer and drive AI performance across the product.

The Opportunity

You’ll work directly with the CTO and founding team to define and execute the AI strategy at the model level.

This is a hands-on, production-focused AI engineering role centered on:

• Fine-tuning LLMs for real-world use cases
• Optimizing inference speed, cost, and reliability
• Designing and deploying custom Small Language Models (SLMs)
• Establishing evaluation, benchmarking, and observability standards

What You’ll Be Responsible For

Fine-Tuning & Model Strategy

• Own fine-tuning workflows (LoRA, adapters, distillation, full fine-tuning)
• Decide when to fine-tune vs optimize at the system or prompt level
• Iterate models based on production feedback
• Balance quality, latency, and cost tradeoffs

Model Optimization & Performance

• Improve inference speed and throughput
• Reduce cost per request
• Enhance reliability and output consistency
• Define model evaluation and benchmarking frameworks

Custom SLM Development

• Design and train custom SLMs for specific design-to-code workflows
• Identify when smaller models outperform larger ones
• Deploy and maintain real-time, streaming AI systems
• Support multi-step and agentic AI capabilities within the product

What They’re Looking For

• 5+ years of software engineering experience
• 2+ years building with LLMs in production environments
• Proven hands-on fine-tuning experience (LoRA, distillation, adapters, etc.)
• Experience deploying custom or specialized models
• Strong intuition around inference tradeoffs: latency, throughput, cost, reliability
• Proficiency in Python and TypeScript / Node.js

Nice to have:

• ONNX runtime or model optimization tooling
• Experience with orchestration frameworks (e.g., LangChain)
• WebSockets, Redis, or real-time streaming systems
• Background in AI-native or code-generation products
• A PhD or advanced degree is welcomed, but demonstrated production impact is the priority.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Data Scientist, Finance – Consumption Forecasting

Location: San Francisco or New York | Hybrid (3 days per week in office)

Salary: $240-300k base + bonus + equity (RSUs)

This is a rare chance to own forecasting infrastructure at the center of a high-growth, consumption-based developer platform, one that powers some of the world’s most dynamic applications and scales with every developer and enterprise building on it.

As a consumption-based business, forecasting usage across compute, bandwidth, edge, and storage isn’t a support function. It’s foundational to how we plan infrastructure, revenue, and long-term strategy. This role exists to lead that work at the highest level.

What you’ll own

This is a senior individual contributor role with organization-wide impact. You’ll define forecasting methodology, build systems that scale with a rapidly growing platform, and sit at the intersection of Finance, Infrastructure, Product, and GTM with direct visibility to executive leadership.

• Own production revenue forecasting end-to-end: model development, backtesting, deployment, monitoring, and iteration from first principles to live system
• Build forecasting systems that account for usage-based pricing dynamics, consumption patterns, and customer lifecycle across the platform, built for how this business actually works, not retrofitted SaaS models
• Design hierarchical forecasting models across account, cohort, segment, and global aggregate levels, covering operational, quarterly, and long-range planning cycles
• Establish backtesting, monitoring, and explainability standards that make forecast accuracy transparent and defensible
• Build scenario simulation frameworks to evaluate pricing changes, packaging adjustments, and product launches
• Partner with Finance on board-level reporting, with Infrastructure Engineering on capacity planning, and with Product and GTM on adoption curves and usage drivers
• Set forecasting best practices across the broader Data organization

What we’re looking for

• 7+ years in data science, quantitative analytics, or applied statistics at senior or staff level
• Deep expertise in time-series forecasting and statistical modelling in a usage-based or SaaS environment
• Proven track record building and productionizing ML systems at scale
• Strong Python and SQL, with experience on large-scale usage and billing datasets
• Familiarity with probabilistic modelling, hierarchical forecasting, and causal inference
• Experience partnering with Finance or executive leadership on planning cycles
• Comfortable operating autonomously in fast-moving, ambiguous environments

Nice to have

• Background in cloud infrastructure, developer tools, or consumption-based revenue models
• Familiarity with modern data stacks: Snowflake, Delta Lake, dbt, Airflow
• Prior technical mentorship or informal leadership experience

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