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Job Title: Generative AI Specialist (Finance Sector – Prompt Engineering)

Location: Amsterdam

Employment Type: Full-time

Department: AI & Innovation – Financial Services

About Us

They are a leading financial institution at the forefront of AI-driven innovation, reshaping how data and technology power decision-making in capital markets, banking, and financial services. The AI team is driving the integration of generative AI and large language models into core business functions-from risk analysis to client interaction. We’re now seeking a Generative AI Specialist with a strong background in prompt engineering to join our growing team.

Role Overview

As a Generative AI Specialist, you will design, develop, and optimize prompt engineering strategies for large language models (LLMs) and other generative tools to automate and enhance financial services workflows. Your work will directly influence trading strategies, reporting automation, regulatory compliance, and client engagement through cutting-edge AI solutions.

Key Responsibilities

• Design and refine prompts for LLMs (e.g., GPT-4, Claude, Mistral) to deliver high-accuracy outputs for financial tasks (e.g., risk summaries, investment analysis, regulatory reports).
• Collaborate with quant teams, data scientists, and engineers to deploy generative AI across front-office, middle-office, and back-office functions.
• Build prompt libraries and reusable AI components that ensure consistency, security, and performance.
• Perform prompt evaluations, A/B testing, and iterative tuning to improve reliability and reduce hallucination risks.
• Stay current with the latest generative AI research and its applications to financial modeling, compliance, and customer engagement.
• Contribute to the development of AI policy, governance, and ethical frameworks in line with regulatory standards (e.g., FINRA, FCA, SEC).

What They’re Looking For

• Proven experience with prompt engineering and working with foundation models (GPT-3.5/4, Claude, LLaMA, etc.).
• Solid understanding of financial markets, instruments, and regulatory frameworks.
• Strong Python skills, including experience with AI/ML libraries (LangChain, OpenAI API, Hugging Face, etc.).
• Ability to translate business needs into technical AI applications and prompt strategies.
• Excellent analytical, problem-solving, and communication skills.
• Familiarity with data privacy, model interpretability, and AI governance is a plus.
• Dutch speaking.

Preferred Qualifications

• Degree in Computer Science, Finance, Data Science, or a related field.
• 1+ years of experience working in finance, fintech, or enterprise AI environments.
• Experience integrating LLMs into enterprise platforms or workflows (e.g., through APIs, plugins, internal tools).

Why Join?

• Be part of a pioneering AI team inside one of the world’s most respected financial institutions.
• Work on high-impact, real-world applications of generative AI in a heavily data-driven domain.
• Competitive compensation and benefits, with opportunities for career growth and leadership.
• Access to state-of-the-art tools, infrastructure, and professional development in a supportive, innovative culture.

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The Company
A well-established digital platform with over a million active users across the UK, offering technology-led subscription services in a fast-scaling consumer market. Known for its innovation in healthcare and eCommerce, the business has seen rapid growth in recent years and is continuing to expand its analytics capabilities. The Customer Insight Analyst will play a key role in shaping customer and marketing strategies by translating behavioural data into commercial insight.

The Role
This is a hands-on role focusing on customer analytics, segmentation, and marketing performance. You’ll be responsible for building dashboards, analysing behavioural trends, and guiding strategic decisions across acquisition, retention, and customer lifetime value. The role suits an analyst who’s confident with SQL, data visualisation tools like Tableau, and who can bridge the gap between data and non-technical stakeholders.

Key Responsibilities

• Deliver insight to support acquisition, retention, and growth strategies

• Build and maintain a scalable Single Customer View (SCV) combining CRM, transaction, and engagement data

• Develop segmentation models based on lifecycle stage, engagement, and behaviour

• Analyse campaign performance and customer trends to optimise marketing strategy

• Create dashboards and reports in Tableau to communicate insights clearly to stakeholders

• Work closely with marketing, commercial, and data teams to drive cross-functional action

• Ensure high standards of data quality, governance, and compliance

• Stay updated on trends in customer analytics, eCommerce, and digital health

Skills & Experience

Essential:

• Strong SQL skills for data extraction and manipulation

• Experience using Tableau or a similar data visualisation tool

• Proven track record in customer analytics or marketing insight roles

• Ability to communicate insights clearly to non-technical stakeholders

• Experience with campaign analysis, customer segmentation, and lifetime value modelling

• Commercial mindset with a focus on growth and retention

Desirable:

• Experience with GA4, BigQuery, or other advanced analytics tools

• Familiarity with churn, retention, or cross-sell modelling

• Background in healthcare, eCommerce, or subscription-based businesses

• Exposure to scripting languages such as Python

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Senior Manager of Marketing & Product Analytics

Location: San Francisco (Hybrid)

Salary: $260-300k base + Equity

Join one of the fastest-growing AI companies in the world-a $3B+ Series E SaaS leader transforming enterprise operations through intelligent automation. We’re looking for a Senior Manager of Analytics to own and scale a high-impact, cross-functional analytics team spanning Product, Marketing, and Finance.

This is a rare opportunity to lead at the intersection of business strategy and data, partnering with executive leadership to drive growth, optimize performance, and turn insights into action across the organization.

What You’ll Do

• Lead Analytics Across Marketing and Product: Own the roadmap, reporting, and insights across Marketing and Product teams-guiding campaign strategy, customer segmentation, feature development, and monetization.
• Optimize the Customer Journey: Deliver full-funnel analytics across paid media, organic channels, website behavior, and in-product engagement. Identify friction points and accelerate activation, conversion, and retention.
• Enable Experimentation and A/B Testing: Partner with Growth and Product leaders to design and analyze high-velocity experiments across the marketing funnel and product experience.
• Build Scalable Data Systems: Lead the design of metrics frameworks, dashboards, and experimentation infrastructure to deliver self-serve analytics and real-time visibility.
• Drive Stakeholder Alignment: Translate complex data into clear, actionable insights for executive stakeholders. Influence marketing strategy, product roadmap, and resource allocation with data-backed recommendations.

What We’re Looking For

• 10+ years of experience in analytics roles with a strong focus on Marketing, Growth, and Product Analytics-ideally within high-growth SaaS or AI-first companies.
• 4+ years of people leadership experience, with a track record of building, mentoring, and scaling high-performing analytics teams.
• Deep technical fluency in SQL, with hands-on experience using modern analytics stacks (e.g., Snowflake, dbt, Fivetran, Hex, Sigma, Looker, Hashboard).
• Strong proficiency in Python or R, with expertise in statistical analysis, experimentation, and causal inference.
• Extensive experience in channel performance analysis, LTV/CAC modeling, attribution, and funnel optimization.
• Strong communicator with a strategic mindset-comfortable working cross-functionally and presenting to C-level audiences.
• Passion for working in fast-paced environments and building clarity in ambiguity through data.

Why Join

• Shape the future of marketing and product strategy at one of the world’s fastest-growing AI companies.
• Join a company where data is core to every decision-with direct access to executives and meaningful ownership of high-impact initiatives.
• Competitive base, strong equity package, and a mission-driven culture focused on outcomes and innovation.

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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.

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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.

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Job Title: Director of Data Science – Biopharma Commercial Analytics
Location: Hybrid – San Francisco Bay Area
Salary: $250-300k base + bonus + equity

Drive the Commercial Data Science Strategy for a High-Growth Digital Health Innovator

Join a mission-driven health tech company redefining how the biopharma industry uses data to drive access, adherence, and market success. This is a unique opportunity to lead the data science function at a fast-scaling, venture-backed startup and shape the next generation of commercial analytics tools and ML-powered insights.

The Role

As Director of Data Science, you’ll lead a team of Data Scientists and Analytical Data Engineers responsible for delivering impactful analytics and machine learning solutions across the commercial lifecycle. You’ll operate as a strategic partner across Product, Customer Experience, and Go-to-Market teams, influencing everything from AI product features to patient access strategies.

Key Responsibilities:

• Build, mentor, and scale a high-performing data science team with a focus on commercialization in the biopharma space
• Lead the development of predictive models and ML algorithms to solve problems in Market Access, Patient Services, and Field Force Optimization
• Own the architecture, data models, and pipelines supporting scalable advanced analytics in a multi-tenant SaaS environment
• Partner with Product and Commercial leaders to translate client needs into intelligent analytics tools and embedded insights
• Present findings and influence decisions at the VP and executive level, internally and with client stakeholders
• Ensure code quality, security, and compliance across deployed models and analytics products
• Monitor trends in commercial analytics, generative AI, and regulatory standards to drive innovation

Your Background

Required Experience:

• 7+ years in biopharma or life sciences commercial analytics, including direct experience in Market Access, Commercial Ops, or Patient Services
• Advanced expertise in machine learning techniques (e.g., regression, classification, forecasting, NLP, A/B testing) applied to real-world commercial use cases
• Proficient in Python and SQL; experience with Snowflake, dbt, and Snowpark highly valued
• Strong understanding of data sets common to biopharma (specialty pharmacy, claims, HCP targeting, CRM, etc.)
• 3+ years managing and scaling high-impact Data Science teams in high-growth or enterprise health tech environments
• Proven record of driving measurable business outcomes through ML/AI-powered solutions
• Excellent cross-functional communication skills; ability to bridge technical depth with commercial strategy
• M.S. or Ph.D. in a quantitative discipline (e.g., Data Science, Engineering, Statistics, Computer Science)

Preferred Qualifications:

• Familiarity with HIPAA, SOC2, HITRUST, or other healthcare regulatory frameworks
• Experience working in AWS-based cloud environments
• Exposure to LLMs, agentic AI frameworks, or AI-enhanced product features
• Background in specialty data integration (e.g., hub services, reimbursement workflows)

What’s On Offer

• Executive-level role shaping the analytics vision for a fast-scaling digital health company
• Competitive compensation, performance bonus, and equity in a high-growth startup
• High-impact work that directly improves patient outcomes and access
• Collaborative and mission-driven culture at the intersection of healthcare and AI
• Opportunity to influence product strategy and drive adoption of next-generation commercial analytics tools

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Senior Product Analyst
Up to £95,000
Hybrid – London (3x days a week)

THE CLIENT
This is an exciting opportunity for a Senior Product Analyst to join a nationwide entertainment organisation.

THE ROLE
We’re looking for a dynamic professional to lead the development of innovative customer propositions, including new draws and strategic ideas. You’ll drive improvements across our website and app-focusing on user experience, pricing tests, and product iterations-while analysing performance and customer behaviour to boost app usage and retention. Join us to shape the future of our digital offerings and deliver exceptional value to our users.

YOUR SKILLS AND EXPERIENCE
SQL
A/B Testing
Experimentation
Previous experience and success working in an agile and fast-paced environment.

APPLY
Send an email or apply below to register your interest.

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Customer Insights Analyst
Up to £45,000 + bonus
Hybrid – Leeds (1x day a week)

THE CLIENT
This is an exciting opportunity for a Customer Insight Analyst to join an industry-leading ecommerce organisation.

THE ROLE
We are seeking a skilled Customer Data Analyst to deliver actionable insights that drive effective customer acquisition, retention, and growth strategies. In this role, you will design and maintain a scalable Single Customer View (SCV) by integrating CRM, transaction, and engagement data. You will also develop segmentation models based on customer lifecycle stages, engagement intensity, and behavioral patterns to help tailor our marketing and customer experience initiatives.

YOUR SKILLS
SQL
Data Visualisation

NICE TO HAVE SKILLS
Python
Google Analytics
Retail and Pharmacracy

APPLY
Send an email or apply below to register your interest

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Customer Insight Analyst
Location: Leeds (Hybrid – 1 day per week in office)
Salary: Up to £45,000 (depending on experience)

The Company
A well-established digital platform with over a million active users across the UK, offering technology-led subscription services in a fast-scaling consumer market. Known for its innovation in healthcare and eCommerce, the business has seen rapid growth in recent years and is continuing to expand its analytics capabilities. The Customer Insight Analyst will play a key role in shaping customer and marketing strategies by translating behavioural data into commercial insight.

The Role
This is a hands-on role focusing on customer analytics, segmentation, and marketing performance. You’ll be responsible for building dashboards, analysing behavioural trends, and guiding strategic decisions across acquisition, retention, and customer lifetime value. The role suits an analyst who’s confident with SQL, data visualisation tools like Tableau, and who can bridge the gap between data and non-technical stakeholders.

Key Responsibilities

• Deliver insight to support acquisition, retention, and growth strategies

• Build and maintain a scalable Single Customer View (SCV) combining CRM, transaction, and engagement data

• Develop segmentation models based on lifecycle stage, engagement, and behaviour

• Analyse campaign performance and customer trends to optimise marketing strategy

• Create dashboards and reports in Tableau to communicate insights clearly to stakeholders

• Work closely with marketing, commercial, and data teams to drive cross-functional action

• Ensure high standards of data quality, governance, and compliance

• Stay updated on trends in customer analytics, eCommerce, and digital health

Skills & Experience

Essential:

• Strong SQL skills for data extraction and manipulation

• Experience using Tableau or a similar data visualisation tool

• Proven track record in customer analytics or marketing insight roles

• Ability to communicate insights clearly to non-technical stakeholders

• Experience with campaign analysis, customer segmentation, and lifetime value modelling

• Commercial mindset with a focus on growth and retention

Desirable:

• Experience with GA4, BigQuery, or other advanced analytics tools

• Familiarity with churn, retention, or cross-sell modelling

• Background in healthcare, eCommerce, or subscription-based businesses

• Exposure to scripting languages such as Python

Interview Process
1st Stage: Introductory screen
2nd Stage: Task-based panel interview with senior stakeholders

How to Apply
Send your CV to Mohammed Buhariwala at Harnham or connect directly on LinkedIn to find out more.

Keywords
Customer Insight, SQL, Tableau, Marketing Analytics, Customer Segmentation, SCV, Acquisition, Retention, Churn, Lifetime Value, Behavioural Data, eCommerce, Subscription, Healthcare, CRM, Growth Strategy, Hybrid, Leeds.

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SENIOR INSIGHT ANALYST – OXFORD

UP TO £55,000

THE COMPANY

We are working with a high-growth, well-established e-commerce business on a pivotal, commercially driven SQL Analytics hire.

THE ROLE

The successful Senior Insight Analyst responsibilities will include:

• Utilise SQL to optimise customer experience through segmentations & A/B testing
• Analyse and interpret large datasets using SQL to provide actionable insights for marketing, product, and operational teams

YOUR SKILLS AND EXPERIENCE

The successful Senior Insight Analyst will have the following skills and experience:

• Strong proficiency in SQL for data extraction, manipulation, and analysis
• A solid understanding of product mix, pricing, ux improvement, campaign targeting and customer journey analysis
• Experience working with data visualisation tools such as Tableau, Looker, or Power BI
• A passion for leveraging data to improve business outcomes and the customer experience

THE BENEFITS

The successful Senior Insight Analyst will receive a salary of up to £60,000, plus an array of additional benefits.

HOW TO APPLY:

Please register your interest by sending your CV to Harry Mincer via the apply link below.

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Senior Customer Analyst – FTC (7 Months) | Up to £60,000 + Bonus + Benefits
Location: Watford (2-3 days in office, flexible hybrid model)
Contract: Fixed-Term Contract (7 months)
Sector: Global Retail

A leading global retailer is seeking a Senior Customer Analyst to join a rapidly growing customer analytics team. With 4,500+ stores across 9 countries, this brand is best known in the UK and Europe for its off-price retail model, including a popular high-street fashion chain.

This is an exciting opportunity to join a fast-evolving analytics function, working on high-impact projects such as store clustering, customer segmentation, and retail sales drivers. You’ll play a key role in uncovering insights that inform strategy across marketing, customer loyalty, and performance.

What You’ll Do:

• Own end-to-end analytical projects using SQL and customer data

• Collaborate with stakeholders to deliver actionable insights

• Present and communicate complex findings through compelling data storytelling

• Contribute to the growth and maturity of a young analytics function

Core Skills:

• 3+ years of advanced SQL experience (essential)

• Strong data storytelling and stakeholder communication

• Background in working with relational databases, customer data, and marketing/CRM functions

• Familiarity with Python or R (advantageous)

• Exposure to GA, email marketing analytics, or retail data (nice to have)

Who You Are:

• Commercially minded and insight-driven

• Proactive and comfortable working in a small, non-agile, high-collaboration team

• Passionate about solving business problems with data

• Able to work independently and hit the ground running

Why Join?

• Flexible hybrid working (typically 2-3 days in-office, with emphasis on collaboration)

• Up to 16% performance bonus + stock worth ~£32k + healthcare & more

• Loyalty bonus after 3 years (if made permanent)

• Office located directly opposite the station for easy commute

Interview Process:

• 1st stage: Interview with the team

• 2nd stage: SQL/insight-based task

• Final stage: Sign-off conversation (if needed)

Apply via the link below !!!

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Digital Product Analyst
Up to £50,000 + Benefits
Oxford Circus – 4 days a week in-office (Mondays & Fridays required – no flex)

We’re hiring for a fast-growing retail group that’s investing heavily in data and digital. With a major shift to Google Cloud now complete and a centralised analytics team in place, it’s an exciting time to join.

As a Digital Product Analyst, you’ll sit within the Product Analytics team – working closely with Product Managers, Developers, and Implementation teams to understand user behaviour, site performance, and optimisation opportunities.

What you’ll be doing:

• Analysing user journeys and on-site performance

• Supporting A/B testing and experimentation

• Working with GA4 and SQL/BigQuery to build insights

• Partnering with the GTM team on tracking and data quality

• Contributing to product decisions with actionable data

What we’re looking for:

• Experience in digital or product analytics (not marketing-focused)

• GA4 or Adobe Analytics knowledge

• SQL skills and some experience with BigQuery

• Familiarity with GTM or similar tools

• Comfortable working in a fast-paced, evolving environment

You’ll join a supportive, growing team where analytics plays a key role in business decisions – with lots of opportunities to learn and grow.

Interview process:

• 30-min intro chat

• 1-hour technical interview

• Final face-to-face session with task – fast decisions

Apply now to help shape the future of digital in one of the UK’s biggest retail groups.

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