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Product Data Analyst

Location: London (2 days a week in office)
Salary: Up to £50,000 + Benefits

THE COMPANY

Harnham is working exclusively with a leading global sports content and technology company whose portfolio includes giants like Sports Illustrated, 90min.
They combine storytelling, technology, and data to engage millions of users worldwide – and now they’re looking for a Product Data Analyst to help drive growth across their Owned & Operated platforms.

This is a unique opportunity to sit at the heart of product, growth, editorial, and data – playing a key role in revenue optimisation, audience development, and high‑impact experimentation.

THE ROLE

As a Product Data Analyst, you’ll work across subscription analytics, content performance, first‑party data strategy, and experimentation. You will turn complex data into actionable insights that shape product development, user experience, and monetisation across Minute Media’s digital ecosystem.

You will:

Strategic Analytics & Experimentation

• Contribute to the analytics roadmap across Content, Growth/SEO, Product, Syndication, and Subscription.
• Design and evaluate A/B tests to optimise registration flows, subscription funnels, monetisation, and content experience.
• Partner with Product & Tech on incrementality models such as authentication uplift and paywall engagement.
• Analyse UX, feature releases, and design changes on engagement, RPS, and SEO.First‑Party Data & Revenue Analytics

• Lead analytics on first‑party data: LTV modelling, segmentation, incremental revenue measurement.
• Support forecasting and scenario modelling for 2026 growth.
• Build dashboards to analyse LTV by campaign, source, or cohort.

Engagement & Content Performance

• Deliver deep‑dive insights on content consumption, recirculation, and recommendation logic.
• Analyse AI‑driven metadata features (summaries, highlights, FAQs) and their impact on engagement.
• Partner with editorial teams to surface performance trends, scroll‑depth patterns, and underperforming content.

Acquisition, Retention & CRM Analytics

• Analyse subscriber and registered‑user funnels to identify conversion barriers and churn drivers.
• Automate reporting for email, push, and newsletters (e.g., SailThru integrations).
• Provide insights that inform CRM, lifecycle marketing, and comms optimisation.

Infrastructure & Reporting

• Build and maintain dashboards across Tableau/Looker.
• Work with Data Engineering to ensure reliable tracking, pipelines, and integrations.
• Automate key recurring reporting processes.

YOUR SKILLS & EXPERIENCE

To be successful, you’ll have:

• 3+ years as a Data or Product Analyst in digital media, e‑commerce, or subscription environments.
• Strong experience with A/B testing, experiment design, and statistical validation.
• Advanced SQL and analytics tooling (GA4/Adobe, Tableau, Looker).
• Understanding of lifecycle metrics (CAC, churn, LTV, retention cohorts).
• Experience building automated dashboards and collaborating with data engineers.
• Ability to communicate insights clearly to senior non‑technical stakeholders.

Bonus:

• Experience in media, publishing, or paywall ecosystems.
• Familiarity with CRM (BlueConic, SailThru), subscription platforms (Recurly), and experimentation tools.
• Exposure to AI‑driven content analytics or recommendation systems.

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Lead Data Scientist

London

85-120k

If you’re a hands-on Data Science / AI specialist who loves solving real operational problems, this role puts you right at the heart of client delivery. You’ll shape the problems, design and build the solutions, and see your models deployed into live environments – not parked as endless POCs.

THE COMPANY

This fast-growing consulting firm helps organisations across the public sector, defence and commercial markets deliver measurable improvements in performance through data, AI and digital solutions. They are building a modern AI & Digital capability that sits at the front of transformation programmes, working shoulder-to-shoulder with clients on their toughest operational challenges.

THE ROLE

As a Lead Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building.

• Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements
• Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models end-to-end
• Leading technical workstreams, managing small teams and ensuring projects are delivered on time and to a high standard
• Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders
• Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics

YOUR SKILLS & EXPERIENCE

• Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples of end-to-end delivery
• Proven ability to shape, not just execute: from defining the problem and designing the solution, through to delivery and measurement of impact
• Consulting capability – comfortable running client workshops, identifying opportunities, influencing senior stakeholders and supporting pitches
• Evidence of measurable commercial or operational impact (e.g. revenue growth, cost reduction, efficiency gains, service improvement)
• Hands-on experience building models and turning prototypes into robust, production-ready solutions
• Experience leading teams or technical workstreams in a project environment
• UK citizenship (for security clearance purposes) and willingness to travel across the UK 2-3 days per week, depending on client needs

Nice-to-have experience:

• Background in a consulting environment or a high-performing in-house DS/AI team
• Exposure to sectors such as defence, public sector and consumer/retail
• Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential)
• A mix of technical, product and operational experience – comfortable talking both code and business outcome

To Apply for this Job Click Here

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Lead Data Scientist

Leicester

Up to 77,000

Company overview:

Ready to work with one of the UK’s largest ecommerce companies? Join their evolving and innovative Data Science team! This data-driven company is known for its online presence and is now focusing on the development and optimisation of marketing strategies and solutions.

THE ROLE

As a Lead Data Scientist, you will be actively leading the development of projects and models in the central data science team, as well as liaising with stakeholders to enhance functions.

Specifically, you can expect to be involved in the following:

• Code reviews
• Development of sequencing models & recommendation engines
• Communicating with stakeholders and optimising campaigns

SKILLS AND EXPERIENCE

The successful Lead Data Scientist will have the following skills and experience:

• Strong proficiency in python, SQL
• Machine Learning experience
• Search, Recommendation, Personalisation, XGBoost, Two Tower or Neural Network experience
• Managerial experience preferred
• Strong communication skills

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page!

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Staff Machine Learning Scientist

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, computer vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 7-10 years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.

• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

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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

Senior Analytics Engineer

Remote, US based

$160k-$175k base salary

A mission driven SaaS company supporting thousands of nonprofit organizations is scaling its data and analytics capability. The platform powers donor management, fundraising, and payments, helping nonprofits strengthen communities and drive measurable impact. As the business grows, data is becoming central to how decisions are made across Finance, GTM, and Product.

This is an opportunity to step into a high ownership analytics engineering role where your work directly influences business strategy and execution.

The Role

As a Senior Analytics Engineer, you will own the analytics layer end to end. This role blends data modeling, analytics engineering, reporting, and stakeholder partnership, with a clear mandate to move the organization from reactive reporting to insight led decision making.

You will be embedded within the Finance organization and work closely with leaders across Finance, Sales, GTM, RevOps, and Product. This is a senior individual contributor role with a clear path toward people leadership as the data function matures.

What You Will Do

• Own the analytics stack from data modeling in Snowflake through to dashboards and reporting in Metabase
• Design and maintain high quality data models that power trusted, scalable analytics
• Lead the migration away from legacy BI tools and establish a single source of truth
• Build self service dashboards for Finance, GTM, RevOps, and Product stakeholders
• Partner with business leaders to translate questions into durable analytics solutions
• Proactively surface insights that influence planning, forecasting, and strategic decisions
• Improve data quality, consistency, and usability across the analytics layer
• Define analytics standards, tooling, and best practices as the function evolves
• Support the transition toward predictive and forward-looking analytics over time

What We Are Looking For

• 5-7+ years of experience in analytics engineering, analytics, or data analysis
• Advanced SQL skills with hands on experience in Snowflake
• Strong experience building dashboards in Metabase
• Proven ability to own data models and analytics foundations end to end
• Experience working cross functionally with Finance, Sales, GTM, RevOps, and Product
• Comfort operating independently and taking full ownership of analytics domains
• Experience with dbt, forecasting, experimentation, or predictive analytics is a plus
• Interest in modern data tooling and AI enabled analytics
• Strong communication skills and ability to work effectively with non technical stakeholders

Why This Role

This role is ideal for a Senior Analytics Engineer who wants ownership, visibility, and real influence. You will help shape how data is used across a growing SaaS organization while supporting a meaningful social mission, with the opportunity to grow into leadership as the team scales.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Software Engineer – Go (CDN and Distributed Systems)

Remote, US or Canada

$190-204k base + RSUs

A leading cloud infrastructure company is hiring a Senior Software Engineer with strong Go and distributed systems experience to help build and scale its next generation global CDN. This team operates at massive scale, handling billions of requests per day and powering some of the fastest, most reliable experiences on the web.

The Role

You will design and build high performance distributed systems that make the internet faster and more resilient. As part of the CDN Infrastructure group, you will work on projects such as:

• Evolving an internal CDN into a production ready customer platform
• Designing systems that support safe, incremental customer migration
• Scaling redirect handling from thousands to billions of requests
• Implementing HTTP/3 and exploring post quantum cryptography
• Driving performance improvements across the edge network

This role is ideal for engineers who enjoy deep technical challenges and want to influence how modern web infrastructure operates at global scale.

What We Are Looking For

• Strong experience with distributed systems, CDN, caching, or networking infrastructure
• Production Go experience. C and C plus plus backgrounds transfer well
• Solid understanding of the HTTP layer and cloud networking
• Experience operating systems at scale in a cloud or infra environment
• Bonus: Linux tuning, performance optimization, or open source work

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.

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Staff Data Platform Engineer

US Remote

$200-245k base + Equity

We’re working with a rapidly expanding consumer tech startup that recently raised $125M in Series D funding. As they continue to scale, they’re looking to hire a Staff Data Engineer to join their growing data team. If you have a strong foundation in software engineering, a collaborative mindset, and a passion for driving data strategy, this is the opportunity for you!

The Role:
As a Staff Data Engineer, you’ll be a crucial part of the team, ensuring data is accessible, reliable, and actionable across the company. Working alongside engineers, data scientists, and business teams, you’ll help build scalable data platforms that drive key business initiatives and enable data-driven decision-making.

What You’ll Do:

• Collaborate with engineering, data science, and business teams to understand data needs and implement effective solutions aligned with business objectives.
• Design and build scalable data infrastructure and pipelines to handle high volumes of data as the company grows.
• Lead the design and optimization of data architecture, ensuring it’s secure, high-performing, and scalable.
• Improve and streamline data pipelines to provide fast, reliable access to high-quality data.
• Contribute to the design of reporting frameworks and analytics tools that empower teams to make data-driven decisions.
• Work with security teams to ensure data privacy and compliance standards are met.
• Mentor junior engineers, share expertise, and promote best practices across the team.
• Stay updated on new technologies and suggest improvements to enhance processes and tool efficiency.

You’re a Great Fit If:

• You have 7+ years of experience in data engineering.
• You’ve worked at a leading consumer tech company known for engineering excellence.
• You’re an expert in SQL, Python, and data platform development.
• Nice-to-have: Familiarity with AWS, Kubernetes, Redshift, Athena, S3, and Airflow.
• You have hands-on experience with complex data infrastructures and optimizing data pipelines.
• You’ve led large-scale data projects that had a significant impact on your organization.
• You thrive in collaborative environments and have strong communication skills.
• You have an ownership mindset and take responsibility for delivering results.

To Apply for this Job Click Here

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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.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Analyst

Remote (US Based)

$150-170k base salary

A mission driven SaaS company supporting thousands of nonprofit organizations is expanding its data and analytics capability. The platform powers donor management, fundraising, and payments, helping nonprofits strengthen communities and drive real impact. As the business scales, data is becoming central to decision making across the organization.

The Role:

This Senior Data Analyst role offers true end to end ownership of analytics. You will work across data modeling, analytics engineering, reporting, and stakeholder enablement, with a clear focus on moving the business from reactive reporting to forward looking, insight driven analysis.

You will be embedded within the Finance organization and partner closely with leaders across Finance, Sales, GTM, RevOps, and Product. This is a senior individual contributor role with scope to grow into people leadership as the data function matures.

What you will do:

• Own the analytics stack end to end, from data modeling in Snowflake to dashboards in Metabase
• Build and maintain high quality data models that support trusted reporting and analysis
• Lead the move away from legacy BI tools and establish a single source of truth
• Deliver self service dashboards for Finance, GTM, RevOps, and Product teams
• Partner with stakeholders to translate business questions into scalable analytics solutions
• Proactively surface insights that influence strategy and decision making
• Improve data quality, consistency, and usability across the analytics layer
• Help shape analytics standards, tooling, and best practices
• Support the evolution toward predictive and forward looking analytics

What we are looking for:

• Five to seven plus years of experience in analytics, data analysis, or analytics engineering
• Strong SQL skills with hands on Snowflake experience
• Experience building dashboards in Metabase
• Proven strength in data modeling and owning analytics foundations end to end
• Experience working cross functionally with Finance, Sales, GTM, RevOps, and Product
• Ability to operate independently and take full ownership of analytics domains
• Experience with dbt, experimentation, forecasting, or predictive analytics is a plus
• Interest in AI enabled analytics and modern data tooling
• Strong communication skills with non technical stakeholders

This role is ideal for a senior analyst who wants ownership, visibility, and the opportunity to shape how data is used across a growing SaaS organization with a strong social mission.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Engineering Manager

Location: Remote, US based

Salary: $200-250k Base Salary

We are partnering with a fast growing company at the intersection of fintech, gaming, and digital commerce to hire a Data Engineering Manager. This leader will own the company wide data strategy, data ecosystem, and data organization.

If you have built modern data platforms in regulated financial environments and want to shape the future of real time digital economies, this role offers company level impact.

The Opportunity

You will turn data into a strategic, revenue enabling asset by architecting and running a modern data stack that powers real time analytics, forecasting, ML insights, and regulatory reporting. This includes building semantic layers, unified source of truth datasets, experimentation frameworks, and high-quality telemetry.

You will oversee the full data lifecycle so product, commercial, risk, and compliance teams have timely, trusted data that drives GTM strategy, financial planning, customer analytics, churn modeling, fraud detection, and product optimization.

What You Will Lead

• Enterprise data strategy, roadmaps, data product vision, and multi year investment planning
• Data governance including cataloging, lineage, metadata, SLAs, access controls, and auditability, plus standardized KPIs and metric definitions
• Modern data architecture including real time pipelines, event streaming, warehousing, lakes, modeling, orchestration, and CI/CD for analytics and ML
• Analytics leadership across BI, self service, dashboarding, reporting, product analytics, forecasting, experimentation, and cohort analysis
• Data science enablement for predictive models, risk scoring, automated decisioning, and personalization, with infrastructure to deploy models
• Team leadership across data engineering, BI, analytics, and applied science including hiring, mentorship, operational rigor, and quality standards
• Cross functional partnership with Product, Engineering, FP&A, Compliance, and GTM to support product innovation, financial modeling, AML and KYC workflows, and market expansion
• Data activation through dashboards, workflow automation, internal data apps, and decision support tools

What You Bring

• 10+years in data with at least 3 in senior leadership
• Experience in high growth fintech, payments, or regulated financial services
• Proven ability to build and scale enterprise data ecosystems
• Expertise in data governance, quality, and regulatory compliance including AML and KYC
• Strong leadership and communication skills
• Technical depth in cloud warehouses, modeling, ETL and ELT, orchestration, and BI
• Strong SQL and familiarity with Python
• Experience with AWS data services and infrastructure as code
• Bonus: crypto, gaming, or internal tooling experience

Why This Role

Join a company shaping next generation digital commerce and build the data function for a global, highly regulated business. You will have full ownership, executive visibility, and the mandate to design a data organization that enables innovation at scale.

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