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Product Analyst II

Location: Fully Remote – anywhere in the U.S.

Compensation: $75-100k base

Overview

A growing digital health and consumer technology organization is seeking a Product Analyst II to join its Data Analytics team. This role will focus on product analytics, experimentation, and insight generation to help drive product strategy and business outcomes.

The ideal candidate has experience working with event-level product analytics data, designing and evaluating A/B tests, and translating user behavior insights into actionable recommendations. You will collaborate closely with Product Managers, Engineers, and other stakeholders to improve product performance and support data-informed decision-making across the organization.

Key Responsibilities

• Design, analyze, and interpret A/B tests and product experiments to inform strategic product decisions.
• Develop and enhance product analytics reporting based on event-level user interaction data.
• Partner with Product, Engineering, and cross-functional teams to define success metrics, KPIs, and measurement frameworks for new initiatives.
• Analyze user behavior patterns, engagement trends, and feature performance to identify growth and optimization opportunities.
• Build and maintain dashboards and reporting tools that enable stakeholder self-service access to key product metrics.
• Collaborate with data teams to ensure data quality, metric consistency, and effective event-tracking implementation.
• Promote a culture of experimentation and evidence-based decision-making throughout the organization.

Required Qualifications

• 2 to 4 years of experience in a Product Analyst, Data Analyst, or related analytics role.
• Hands-on experience with product analytics and event-tracking platforms such as Mixpanel, Amplitude, or similar tools.
• Strong SQL skills with experience querying large datasets.
• Experience using business intelligence and reporting tools such as Looker, Tableau, Omni, or similar platforms.
• Demonstrated experience designing, executing, and analyzing A/B tests and experiments.
• Strong communication skills with the ability to translate complex analyses into clear business recommendations.
• Ability to work effectively in a fast-paced, evolving environment and collaborate across multiple functions.

Preferred Experience

• Experience supporting digital consumer products, subscription-based platforms, or mobile applications.
• Familiarity with product measurement frameworks and experimentation best practices.

Benefits

• Competitive salary and overall compensation package.
• Comprehensive medical, dental, and vision coverage.
• Retirement savings program with employer contribution or matching.
• Commuter and meal-related benefits.
• Access to wellness and healthcare support resources.
• Equipment and software needed to perform successfully in the role.
• Opportunity to contribute to a widely adopted consumer-focused product.
• Collaborative team environment with strong ownership and impact.

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Director of Analytics

Location: Fully Remote (must work CST or EST hours)

Compensation: $215-225k base + performance bonuses + equity

A growing B2B technology company is seeking a Director of Analytics to lead and scale a newly established data science and analytics function focused on revenue growth and go-to-market performance. This leader will play a critical role in shaping the team’s strategy, building a collaborative culture, and driving measurable business impact across Marketing, Sales, Revenue Operations, and Customer Success.

This is a highly visible leadership opportunity for someone who enjoys operating in transformation environments, building new capabilities from the ground up, and partnering closely with executive stakeholders to influence strategic decisions.

What You’ll Do

• Lead and develop a growing team of analytics and data science professionals.
• Partner with senior business leaders to identify priorities and solve complex business challenges.
• Guide the development of advanced analytics initiatives, including predictive modeling, lead scoring, customer lifetime value, marketing measurement, propensity modeling, and experimentation.
• Ensure teams are focused on the right problems, delivering actionable insights and scalable solutions.
• Provide coaching, technical guidance, and oversight through project reviews and mentorship.
• Establish processes, prioritization frameworks, and operating structure within a growing organization.
• Manage stakeholder expectations, balance competing priorities, and influence strategic decision-making.
• Help build analytics capabilities and strengthen the overall impact of the function.

Must Have:

• 7+ years of experience in analytics, data science, or a related field.
• 3+ years of people management experience.
• Strong experience supporting marketing and/or sales organizations.
• Experience leading cross-functional initiatives and influencing senior stakeholders.
• Experience building, scaling, or transforming analytics or data science functions.
• Strong SQL skills and the ability to review Python-based work.
• Experience with predictive modeling, experimentation, and advanced analytics techniques.
• Ability to thrive in ambiguous, fast-growing environments.

Nice to Have:

• Experience in B2B SaaS, subscription-based businesses, or similar go-to-market environments.
• Background in areas such as lead scoring, LTV, marketing measurement, or revenue analytics.
• Familiarity with AI-assisted analytics and development tools.

Why Join?

This is a unique opportunity to help shape a function that is undergoing significant transformation and investment. You’ll have the chance to build a high-performing team, influence executive decision-making, and create analytics capabilities that directly impact growth and business performance. The foundation is being put in place, making this an ideal role for a leader who enjoys building, scaling, and driving change.

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Senior Product Analyst

US Remote

$90,000 – 105,000 Base Salary

We’re partnering with one of the world’s most downloaded wellness apps on a Senior Product Analyst hire. This role sits at the center of how a top consumer app understands its users, tests its ideas, and decides what to build next.

The role:

You’ll sit within the Data team and act as the analytical partner to Product, owning experimentation, product analytics, and insight generation from event-level data. You’ll work day to day with Product Managers, User Acquisition, and Engineering.

You will:

• Design, analyze, and interpret A/B tests and experiments that guide product decisions
• Own product analytics reporting from event-level data, covering feature performance, funnels, retention, and user behavior
• Partner with PMs and Engineers to define metrics, success criteria, and measurement plans for new features
• Turn behavioral insights into clear, actionable product recommendations
• Build self-serve dashboards that give Product and leadership visibility into performance
• Work with the wider Data team on data quality, definitions, and event-data modelling
• Champion experimentation and data-informed decision-making across the organization

What we’re looking for:

• 1 to 3 years as a product analyst, data analyst, or similar, ideally in consumer apps or subscription products
• Hands-on experience with an event-tracking/product analytics platform (Mixpanel, Amplitude, or similar)
• Strong SQL and comfort working with large datasets
• Experience with BI tools (Looker, Tableau, Omni, or similar)
• Experience designing and analyzing A/B tests
• Strong communication skills: you translate data into narratives PMs and executives act on
• Comfortable with ambiguity and cross-functional work

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I’m hiring a Home Risk Pricing Manager for a leading UK insurer with a strong reputation for investing in pricing, analytics, and data science.

This role sits within the Home Pricing function and offers a blend of pricing strategy, analytical problem-solving, and team leadership, supporting the delivery of profitable growth across the home insurance portfolio.

The role

Reporting into the Senior Home Risk Pricing Manager, you’ll play a key role in shaping pricing strategy for the home insurance book.

This isn’t a pure modelling role. Instead, you’ll use models, data, and pricing insight to make commercial decisions about how pricing should be adjusted to drive growth and profitability.

You’ll spend roughly half your time leading and coaching analysts, with the remainder focused on hands-on pricing analysis and strategy.

What you’ll be doing

• Lead and develop a small team of pricing analysts
• Analyse policy, quote, claims, market and risk data to identify pricing opportunities
• Develop and deliver pricing insights to improve profitability and growth
• Work closely with Data Science, Actuarial, Underwriting and Engineering teams
• Critically review pricing and risk models developed by actuaries and data scientists
• Translate model outputs into effective pricing strategies and actions
• Identify customer segments where pricing can be optimised
• Support peer reviews, coaching and mentoring across the team

What they’re looking for

Essential

• Personal lines insurance pricing experience (Home, Motor, Van, Travel, Bike, etc.)
• Senior Pricing Analyst, Risk Pricing Analyst, Pricing Manager or Risk Pricing Manager background
• Strong analytical and commercial mindset
• Experience working with pricing and risk models
• Strong stakeholder management and communication skills
• Python preferred (R also considered)
• SQL experience is beneficial
• Ability to turn analytical findings into pricing strategy and business outcomes

Nice to have

• Team leadership or mentoring experience
• Experience managing pricing portfolios
• Exposure to Home Insurance pricing specifically

Why join?

• Highly respected pricing and analytics function
• Opportunity to influence a major Home Insurance portfolio
• Strong blend of leadership and hands-on analytical work
• Flexible hybrid working
• Excellent benefits package
• Opportunity to work alongside Pricing, Data Science, Underwriting and Actuarial specialists

Package

• £65,000-£80,000 (potential flexibility for exceptional candidates)
• £5,000 car allowance
• Annual bonus scheme
• Private medical insurance
• Matched pension up to 10%
• 27 days holiday + bank holidays
• Hybrid working

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Digital Analyst
£40,000 – £45,000
Hybrid – Merseyside (3x days per week)

Are you passionate about turning digital data into meaningful commercial insight? This is an opportunity to join a well-established retail organisation undergoing continued investment in ecommerce, analytics, and data-driven decision making. You’ll play a key role in helping teams understand online performance, customer behaviour, and growth opportunities through advanced analytics.

The Company
They are a customer-focused retail business with a significant online presence and a strong commitment to innovation. Data plays a central role in shaping commercial decisions, and the organisation continues to invest in analytics capabilities across the business. You’ll join a collaborative environment where insights are valued, and where analytical expertise has a direct impact on performance and strategy.

The Role
As an Ecommerce Data Analyst, you will be responsible for delivering actionable insights that improve online performance and support business growth.
Key responsibilities include:

• Translate business challenges into analytical projects and data-driven recommendations
• Analyse web, customer, and commercial data to identify opportunities and trends
• Build strong relationships with stakeholders across ecommerce and wider business teams
• Develop dashboards, reports, and self-service analytics solutions using BI tools

Your Skills & Experience

• Strong commercial experience working with BigQuery and SQL
• Experience analysing ecommerce or digital performance data
• Strong knowledge of Google Analytics 4 (GA4)
• Experience with data visualisation tools such as Power BI or Looker
• Understanding of analytical methodologies and data-driven problem solving
• Awareness of ETL processes and data automation concepts
• Strong communication skills with the ability to present complex findings clearly to non-technical audiences

What They Offer

• Competitive salary and benefits package
• Hybrid working environment
• Access to career development and progression opportunities
• Collaborative and supportive analytics team
• Opportunity to shape reporting, insights, and data capability across a growing ecommerce function
• Pension and additional employee benefits

How to Apply
If you’re an Ecommerce Data Analyst with strong SQL, BigQuery, GA4, and BI experience, apply today to learn more about this exciting opportunity.

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Job Title: AI Product Manager

Location: SF Bay Area (Hybrid 2-3 days/week in office)

Salary: $190-210k base

Overview:

A growing financial technology organization is expanding its AI product team and seeking two AI Product Managers to lead business process transformation initiatives powered by AI.

This is not a role focused on AI experimentation or internal productivity tools. The organization already has production AI systems delivering measurable business impact and is now extending those capabilities across multiple business functions. You will own the full lifecycle of AI initiatives, from discovery and process redesign through implementation, quality control, and adoption.

This opportunity is ideal for a hands-on product manager who enjoys ambiguity, thrives in fast-moving environments, and wants to build deep expertise in AI product development while working closely with business leaders, data scientists, and engineering partners.

Key Responsibilities:

• Lead discovery sessions with business stakeholders to understand current workflows, pain points, exceptions, and opportunities for transformation
• Redesign business processes from a 0-to-1 perspective, leveraging AI to fundamentally improve outcomes rather than simply automate existing workflows
• Create detailed product requirements, design briefs, process maps, and solution specifications
• Partner with data science and engineering teams to define AI capabilities, evaluation criteria, and success metrics
• Manage external engineering partners throughout the development lifecycle and ensure delivery aligns with product requirements
• Design quality assurance and evaluation frameworks to assess AI outputs before deployment
• Coordinate pilot programs, user testing, and adoption strategies
• Measure business impact and continuously refine solutions post-launch
• Build strong relationships with stakeholders and drive alignment across technical and non-technical teams

What We’re Looking For:

• 3-5 years of experience in Product Management, Product Strategy, Product Operations, or a related discipline
• Direct experience working on AI-powered products or AI-driven business process transformation initiatives
• Experience leading discovery efforts and gathering requirements from business stakeholders and subject matter experts
• Proven ability to create specifications, requirements documents, design briefs, or other product artifacts that have been used to build and launch solutions
• Strong problem-solving skills with the ability to structure ambiguous challenges independently
• Experience balancing strategic thinking with hands-on execution
• Excellent stakeholder management and communication skills

Nice-to-Have:

• Experience within fintech, lending, payments, insurtech, healthtech, or other regulated industries
• Experience working with external vendors, consultants, or engineering partners
• Familiarity with AI evaluation methodologies, testing frameworks, or model validation approaches
• Exposure to LLM-enabled products, AI agents, or intelligent automation platforms

Benefits:

• Additional performance-based cash compensation potential
• Opportunity to join a company actively deploying AI at scale across multiple business functions
• High degree of ownership and visibility within a rapidly growing AI product organization

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Job Title: AI Product Director

Location: SF Bay Area (Hybrid 2-3 days/week in office)

Salary: $275-290k base

Overview:

An established fintech organization is seeking an AI Product Director to lead the next phase of its enterprise-wide AI transformation program.

This is a highly visible leadership role focused on reimagining business processes through AI and scaling successful AI solutions across multiple functions. You’ll work closely with executive stakeholders, lead a growing AI product team, and oversee multiple concurrent initiatives that are already delivering measurable business value.

The ideal candidate combines strategic product leadership with hands-on execution and has played a direct role in designing and delivering AI-powered products from concept through production.

Key Responsibilities:

• Lead the product strategy and roadmap for enterprise AI transformation initiatives
• Partner with senior business leaders to identify opportunities for AI-driven process redesign
• Translate business objectives into scalable product and solution blueprints
• Oversee multiple AI product initiatives simultaneously, ensuring quality, speed, and business impact
• Manage and mentor a team of AI Product Managers
• Lead discovery efforts with business stakeholders to map current-state processes and identify transformation opportunities
• Evaluate and select external engineering partners and maintain accountability throughout delivery
• Establish quality assurance, evaluation, and governance frameworks for AI solutions
• Partner with technical teams to define success metrics, testing methodologies, and production-readiness standards
• Drive stakeholder adoption, executive alignment, and organizational change management

What We’re Looking For:

• 8-12 years of Product Management experience
• Proven track record delivering AI-enabled products from concept through production deployment
• Demonstrated experience contributing directly to AI solution design, architecture discussions, or product blueprint creation
• Experience leading multiple concurrent product initiatives in fast-paced environments
• Experience managing Product Managers or leading product teams
• Strong vendor management experience and ability to guide third-party delivery partners
• Executive-level communication, presentation, and stakeholder management skills
• Ability to balance strategic vision with hands-on execution

Nice-to-Have:

• Experience in fintech, lending, payments, risk technology, or other regulated industries
• Knowledge of AI governance, explainability, compliance, or model risk concepts
• Familiarity with agentic systems, AI evaluation frameworks, benchmark testing, and modern LLM applications
• Experience scaling AI products within high-growth technology companies

Benefits:

• Additional performance-based cash compensation potential
• Executive visibility and influence across the organization
• Opportunity to build and lead a growing AI product function
• Exposure to large-scale AI transformation initiatives with significant business impact

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Pricing Manager

Hybrid – London(1x day per week)

£60,000 – £80,000 + benefits

If you’re looking for an opportunity to combine leadership, pricing strategy, and advanced analytics in a highly data-driven environment, this Home Risk Pricing Manager role offers excellent scope for impact. You will lead key pricing initiatives, shape risk strategy, and help drive profitable growth within a well-established insurance business that is investing heavily in its data and analytics capabilities.

The Company

They are a leading UK financial services organisation with a strong focus on analytics, innovation, and customer outcomes. Data and pricing sit at the heart of their commercial strategy, with significant investment in technology, modelling, and decision-making capabilities. Their collaborative culture encourages curiosity, continuous improvement, and the development of new ideas. You will work alongside experts across pricing, actuarial, data science, underwriting, and engineering functions.

The Role

As a Home Risk Pricing Manager, you will lead a small team while delivering pricing strategies that drive business performance and improve risk selection.

Responsibilities include:

• Leading and developing a team of pricing analysts through coaching, mentoring, and technical guidance
• Prioritising pricing initiatives to support profit and growth objectives
• Analysing policy, claims, quote, and market data to identify opportunities for pricing optimisation
• Evaluating and implementing new data sources, methodologies, and analytical approaches
• Reviewing predictive models developed by actuarial and data science teams
• Determining the most effective application of model outputs within pricing algorithms
• Identifying customer segments and pricing opportunities to improve commercial performance
• Building and maintaining automated analytical tools to generate pricing insights
• Partnering with underwriting, actuarial, data science, engineering, fraud, and commercial stakeholders across the business
• Supporting wider underwriting and strategic projects that deliver measurable business value

Your Skills & Experience

Strong commercial experience within general insurance pricing, risk analytics, or a related function.
Experience leading or mentoring analysts within a pricing or analytics environment
Advanced analytical and coding capabilities, ideally using Python
Ability to work confidently with large, complex datasets and statistical concepts
Strong understanding of predictive modelling and pricing methodologies
Experience translating analytical insights into commercial actions
Excellent stakeholder management and communication skills
Curious, proactive mindset with a passion for continuous improvement and innovation

What They Offer

Salary up to £80,000 depending on experience
Annual performance bonus
£5,000 car allowance
Flexible hybrid working model
Private medical insurance
Competitive pension contribution scheme
Life assurance and income protection
Comprehensive wellbeing and healthcare benefits
Generous annual leave allowance with additional flexible options
Access to learning, development, and long-term career progression opportunities

How to Apply

If you’re interested in this Home Risk Pricing Manager opportunity, apply today to discuss how your experience aligns with the role.

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Associate Analytics Consultant

London (Hybrid – Monday to Thursday Office / Friday Remote)

Up to £75,000

THE COMPANY

This global data, analytics and technology business helps organisations make smarter lending decisions through market-leading credit data, analytics and consultancy. Working with banks, lenders, telecoms and other major organisations, they develop analytical solutions that improve customer acquisition, credit decisions and portfolio performance. Having recently migrated to the cloud and invested heavily in Python, it’s an exciting time to join a business known for its strong culture and excellent staff retention.

THE ROLE

As an Associate Consultant within the Client Analytics team, you’ll deliver consultancy projects for some of the UK’s largest lenders and financial services organisations. Working directly with clients, you’ll build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency (CRA) data to help businesses make better lending decisions.

This is a highly commercial, client-facing position where you’ll own analytical projects from discovery through to delivery, presenting insights and recommendations to senior stakeholders while balancing technical excellence with commercial impact.

You’ll be responsible for:

• Developing acquisition and behavioural credit scorecards using CRA data
• Building statistical and machine learning models including logistic and linear regression
• Designing and implementing credit strategies for new and existing customer portfolios
• Analysing large datasets using SQL and Python (or SAS)
• Delivering analytical consultancy projects for external clients across multiple industries
• Presenting technical findings and commercial recommendations to senior stakeholders
• Supporting clients to improve lending decisions through data-driven insights

The role covers the full modelling lifecycle, including sample design, performance analysis, reject analysis and strategy development.

YOUR SKILLS AND EXPERIENCE

You’ll ideally have:

• Experience developing credit scorecards within a credit risk environment
• Strong knowledge of Credit Reference Agency (CRA) data (Equifax, Experian or TransUnion)
• Credit risk experience across model development or strategy
• Strong SQL skills alongside Python or SAS (Python preferred)
• Experience with statistical modelling techniques such as logistic regression or machine learning
• Excellent communication skills with the ability to present to clients and senior stakeholders

THE BENEFITS

• Up to £75,000 salary
• Hybrid working (Monday-Thursday office, Fridays remote)
• Work with a wide range of clients across financial services, telecoms and beyond
• Opportunity to work on varied analytical consultancy projects rather than a single portfolio
• Modern cloud-based technology stack with increasing use of Python
• Strong career progression within a business known for long employee tenure
• Two-stage interview process with a fast turnaround

HOW TO APPLY

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

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