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Senior Data Analyst – Marketing Analytics
Location: NYC – Hybrid | Salary: $120,000 – $145,000

We’re partnered with an innovative technology company that’s redefining how people engage with live and digital experiences.

With a strong commitment to data-driven decision-making, their Marketing Analytics function plays a central role in shaping growth strategy, optimising performance across channels, and deepening understanding of the customer journey.

They’re now seeking a Senior Data Analyst to join this high-impact team – someone who can bridge the gap between marketing strategy, business objectives, and analytical insight to drive measurable results.

The Role

• Partner closely with Growth, Marketing, and Product teams to identify opportunities, measure campaign performance, and guide strategic decision-making.

• Own analytical projects end-to-end, from scoping business questions to delivering actionable insights and recommendations.

• Analyse and optimise customer acquisition, engagement, and retention across multiple marketing channels.

• Develop and maintain core marketing datasets and dashboards using tools such as Looker, dbt, and Hex.

• Evaluate campaign and channel effectiveness through experimentation and advanced statistical techniques.

• Communicate complex analytical findings clearly and persuasively to both technical and non-technical stakeholders.

• Act as a thought partner, using analytics to influence broader marketing and growth strategy.

What You’ll Bring

• 4+ years’ experience in Marketing Analytics, Growth Analytics, or a related data-driven role (ideally within tech, ecommerce, or consumer products).

• Strong SQL skills and proficiency in Python or R for data manipulation and modelling.

• Proven experience analysing marketing funnel performance, attribution, and ROI.

• Hands-on experience with experimentation, A/B testing, or incrementality analysis.

• Strong understanding of digital marketing channels, CRM, and performance metrics.

• Excellent storytelling and presentation skills – able to translate data into strategic insight.

• A proactive, collaborative mindset and a passion for driving business impact through analytics.

Desirable: experience in B2B2C environments, working with marketing automation or attribution platforms, and exposure to data infrastructure (dbt, event tracking, marketing APIs).

Tech Stack

Airflow | Fivetran | Python | dbt | Redshift | mParticle | Eppo | Mixpanel | Looker | Hex | GitLab

If you’re passionate about using data to drive marketing performance and influence strategic growth decisions, this is an opportunity to make a tangible impact within a forward-thinking organisation.

Get in touch with the Harnham team today to learn more.

#MarketingAnalytics #DataAnalytics #GrowthAnalytics #Harnham #DataJobs #AnalyticsCareers

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Senior Data Engineer

Hybrid (3 Days Per Week) – London

Up to £80,000 + Benefits

We’re partnering with one of the most exciting InsurTech scale-ups in the market – a company transforming how brokers and insurers exchange risk, already processing over $150m in premium and targeting $1B by 2027. They’re looking for a Senior Data Engineer (3-5 years’ experience) to help scale their modern data platform as they continue rapid growth.

What you’ll do:

• Build and maintain scalable, automated, reliable data pipelines across a modern cloud stack

• Extend and improve a cutting-edge Data & Analytics Platform supporting mission-critical insurance products

• Implement data quality checks, observability metrics and troubleshooting processes

• Manage cloud resources via Infrastructure-as-Code

• Ensure strong data security, access control, and governance

• Work closely with commercial, analytics and engineering teams to deliver high-quality data products

What you’ll bring:

• 3-5 years’ experience as a Data Engineer

• Strong SQL and Python skills

• Proven experience building modern ETL/ELT pipelines (dbt experience ideal)

• Experience with data orchestration tools (Prefect preferred)

• Understanding of data modelling, especially event-driven architectures

• Knowledge of modern data engineering development practices

Nice to have:

• Background in InsurTech/FinTech or regulated industries

• Experience with Docker, containerisation, and IaC tools

• Exposure to cloud-native data environments

Why join?

• Work at the forefront of a market undergoing a “Big Bang” digital transformation

• Join a smart, curious, collaborative team backed by deep insurance and technology expertise

• Build systems that will scale to handle millions of dollars of real-world insurance risk

• Huge growth opportunity as the company scales rapidly

To Apply for this Job Click Here

To Apply for this Job Click Here

eFX Software Engineer (Ultra-Low Latency Java)

Hybrid / Remote – London

Up to £160,000 + Bonus + Benefits

We’re supporting a major financial services organisation hiring an eFX Software Engineer to build and optimise ultra-low-latency trading systems used across global FX markets. If you’re a high-performance Java engineer who loves solving complex technical challenges at scale, this is a standout opportunity.

What you’ll work on:

• Engineering sub-40μs latency eFX systems with high throughput and fault tolerance

• Designing real-time pricing, risk and trading components

• Evolving low-latency Java patterns (lock-free, low-GC, CPU/cache optimisation)

• Working closely with quants, traders, architects and senior engineers

• Influencing technical strategy across distributed, performance-critical systems

What we’re looking for:

• Strong experience in low-latency Java within trading, eFX or electronic markets

• Deep understanding of networking (TCP/UDP/FIX), Linux tuning, performance profiling

• Background in designing high-performance architectures and distributed systems

• Strong grasp of FX pricing, risk, and trading workflows

• Solid engineering fundamentals: testing, CI/CD, API design, automation

Why join?

• Work on mission-critical systems powering global trading

• Highly technical culture with genuine ownership and impact

• Flexibility in working hours and hybrid setup

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Analyst – Customer Experience

£65,000 + 10% Bonus + Equity (Exit Expected in 1-2 Years)

Fully Remote (Quarterly meet-ups in London/Brighton – expensed)

We’re partnered with a high-growth, mission-led tech company in the subscription and marketplace space, backed by recent investment and valued at over $100M. They’re scaling fast, expanding their product and data capabilities, and preparing for an exciting exit event within the next couple of years – meaning the equity on offer has real value.

This is a key hire in a small but growing data team that’s helping the business become more data-driven, shaping how product and customer decisions are made. You’ll be joining a close-knit, passionate team that truly loves what they do and the community they’re building.

The Role

You’ll join as a Senior Data Analyst focused on Member / Customer Experience, working closely with Product, UX, and Engineering teams. Your work will directly impact metrics like churn, renewal rates, and lifetime value, driving insights that improve the customer journey from start to finish.

You’ll:

• Partner with product teams to run and analyse experiments and validate hypotheses.

• Use data to understand behaviours that drive renewals and retention.

• Deliver compelling storytelling and actionable insights that shape strategy.

• Help define what great data culture looks like across the business.

What We’re Looking For

• Advanced SQL skills.

• Proven experience in product and customer analytics – experimentation, churn/LTV/retention analysis.

• Background in subscription-based, marketplace or tech-driven environments.

• Confident communicator and self-starter, able to influence non-technical stakeholders.

• Experience with tools like Mode, Amplitude, DBT, Python or R is beneficial (not essential).

Why Apply?

• Equity with upcoming exit – real potential for payout in 1-2 years.

• Fully remote with a collaborative, friendly, pet-loving culture.

• Fast-growing environment with opportunities for personal and career growth.

• Be part of a team that’s building something meaningful and global.

Interview process:

• Stage 1: 30-min intro with hiring manager

• Stage 2: Case study + short live SQL exercise

• (Optional) Stage 3: Meet the wider team

Find out more and apply via the link below.

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Research Director – Quantitative

Salary: Up to £80,000
Location: London, UK – Hybrid, ~4 days per week

Are you a senior, hands-on quantitative insight leader who thrives on turning data into strategic stories?
A creative consumer consultancy, is seeking a Research Director – Quantitative to join their agile, senior-led team. This is a high-impact role blending project leadership, client engagement, and business development, giving you the chance to shape and grow the consultancy’s quantitative capability.

What You’ll Do

• Lead end-to-end quantitative research projects across trackers, ad hoc studies, innovation, pricing, segmentation, and brand evaluation.

• Analyse data in-house using Q or similar tools and deliver actionable insights to senior stakeholders.

• Support new business through proposal development, pitch contributions, and expanding client relationships.

• Drive team collaboration, process improvement, and mentoring as the quantitative function grows.

What We’re Looking For

• Proven experience delivering quantitative research from design to insight.

• Strong client management and storytelling skills for senior stakeholders.

• Proficiency in Q or similar analysis software.

• Commercially aware, proactive, and comfortable in a fast-moving, creative environment.

• Bonus: experience with qualitative research, multivariate analysis, AI tools, forecasting, or behavioural insights.

Why Join?

• Work with high-profile clients including FMCG, travel, spirits, and media.

• Lead and shape the quantitative arm of a thriving consultancy.

• Hands-on, senior-led, collaborative, and creative culture.

• Flexible hybrid setup in central London.

Hiring Timeline: Interviews underway, target hire by January 2026.

If you’re a curious, smart, and proactive insight leader ready to deliver real commercial and strategic impact, apply today.

To Apply for this Job Click Here

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Senior Insight Analyst – £55,000 + Benefits

Remote (UK-Based)
Modern BI Stack | Data Transformation | Commercial Insight

Are you a commercially minded analyst who loves turning complex data into actionable business insight?
Our client – a leading UK distributor and supplier of industrial products – is undergoing a major data transformation and is seeking a Senior Insight Analyst to help drive smarter, data-led decisions across the business.

This is a fantastic opportunity to play a key role in shaping how data supports pricing, profitability, and operational performance within a dynamic, product-heavy environment.

The Role

As Senior Insight Analyst, you’ll sit within a forward-thinking transformation team, working closely with senior stakeholders across sales, marketing, finance, and supply chain.

You’ll analyse performance across thousands of SKUs and customers, deliver pricing and margin insights, and help build the foundations of a modern, connected BI environment under Microsoft Fabric.

This role is ideal for someone who enjoys blending commercial thinking with technical analytics – not just reporting numbers, but understanding the why behind them.

What You’ll Be Doing

• Lead analytical work across pricing, rebates, and margin performance, helping identify where value is gained or lost.

• Deliver actionable insights across sales, marketing, finance, and supply chain.

• Partner with ecommerce teams to improve visibility of digital performance and customer behaviour.

• Support key data integration and transformation projects within the Microsoft Fabric environment.

• Translate large datasets into clear, commercial recommendations for senior stakeholders.

• Contribute to key strategic initiatives, including price, volume, and mix analysis and margin optimisation.

Tech Environment

Core Skills: SQL (essential), Power BI (advantageous)
Platform: Microsoft Fabric (mid-implementation)
Languages: Python (pandas/numpy – desirable, not essential)
Other: Salesforce & Google Analytics exposure beneficial

About You

• Proven experience as an Insight Analyst, ideally in wholesale, distribution, or another product-heavy industry.

• Strong knowledge of pricing, rebates, and margin analysis.

• Excellent SQL skills and analytical problem-solving capability.

• Commercially aware – able to tell stories with data and influence decisions.

• Confident communicator who can engage across multiple business areas.

• Naturally curious, proactive, and adaptable in a fast-changing environment.

Why Apply?

• Join a business at the heart of a major BI and data transformation.

• Blend commercial strategy with technical analytics.

• Work within a supportive team driving real change and visibility.

• Exposure to Microsoft’s modern Fabric BI stack.

• Flexible, fully remote working with occasional collaboration days in the Midlands.

If you’re passionate about using data to drive profitability and operational excellence – and want to make a real impact within a modern, evolving BI landscape – apply in confidence today.

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Job Title: Product Data Scientist – Hybrid – Up to £80,000

Location: London (Hybrid, 2 days p/w in office)

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.

The Role

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.

Key Responsibilities:

• Analyse user behaviour to uncover insights, identify pain points, and influence product direction.

• Design experiments and support a culture of testing, learning, and iteration.

• Define and align key business metrics, ensuring consistency and accuracy across teams.

• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.

• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.

• Collaborate across functions to close data gaps and drive analytics best practice.

• Stay current on industry trends and champion innovative approaches to product data science.

The Candidate

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.

• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).

• Ability to translate business challenges into clear analytical projects and recommendations.

• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.

• Curious, proactive, and detail-oriented problem solver.

• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus

• Hybrid working (2 days per week in London office)

• Competitive annual leave package

• Pension scheme and healthcare support

• Employee discounts and perks

• Regular team socials and recognition initiatives

• Strong learning and development opportunities

Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

To Apply for this Job Click Here

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Lead Marketing Analyst

Location: Fully remote (UK-based)
Salary: Up to £80k + 10% bonus

About the Business

A long-established, consumer-focused digital business backed by private equity. The company is undergoing a significant transformation under new leadership, with a clear three-pillar growth strategy centred around:

1. Expanding and strengthening its core digital products.

2. Enhancing customer experience to drive engagement and loyalty.

3. Building stronger community connections and marketing reach.

The business is in the process of modernising its approach to data and analytics, with major work underway on evolving its subscription model and diversifying revenue streams.

The Role

This is a newly created position within the central Analytics, Data, and Engineering function, designed to add an extra layer of leadership within the marketing analytics space.

You’ll take full ownership of the marketing analytics function, line-managing one Senior Analyst, and act as the go-to expert for marketing insight and reporting. You’ll work closely with senior stakeholders across marketing, commercial, and product to ensure data-driven decision-making, presenting confidently at executive and board level.

What You’ll Be Doing

• Leading a small analytics team delivering insights to guide marketing targeting, spend, and impact.

• Owning full-funnel, cross-platform customer analysis (web analytics, attribution partners, CDPs).

• Improving campaign decision-making through attribution, incrementality, and media mix modelling.

• Partnering with Data Science to build predictive models (LTV, churn).

• Owning and refining marketing forecast models for budget and performance planning.

• Using statistical analysis to optimise testing methodologies and outcomes.

• Developing best practice, transparent reporting, and actionable insights.

• Managing stakeholders across the business to improve marketing decisions.

• Building strong cross-functional relationships to promote a data-driven culture.

• Working with Data Engineering to manage data requirements and ensure quality deliverables.

Candidate Profile

Background

• Ideally from gaming, but open to e-commerce, ad-tech, or subscription/dating apps.

• Must have a strong B2C focus.

Experience

• Proven track record in marketing analytics.

• Comfortable leading and mentoring others.

• Strong stakeholder management and presentation skills.

• Line management experience (desirable but not essential).

Technical Skills

• SQL (essential).

• Power BI / Looker.

• Data visualisation expertise (Snowflake desirable).

• Knowledge of attribution, forecasting, incrementality testing, MMM, LTV/churn modelling (advantageous).

Package & Benefits

• ~£80k base salary + 10% bonus.

• Private healthcare (including dental).

• 6% pension contribution.

• Life insurance + employee assistance programme.

• Enhanced family leave.

• 25 days holiday + bank holidays (buy/sell option).

• Flexible working hours.

Interview Process

1. 1st stage: Zoom interview with senior marketing leadership.

2. 2nd stage: Take-home task + panel presentation.

3. 3rd stage: Final interview with executive team.

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