Product & Growth Analyst

AIApply Limited; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Competitive equity

Flat team structure

Direct access to founders

Flexible working environment

Growth through data leadership

High autonomy

Job summary

AIApply Limited in the United Kingdom is seeking a data-driven analytics lead to build a reliable data foundation, define events and metrics, and partner with product and growth to align on a single source of truth.

You will work hands-on with SQL and PostHog, run experiments, analyze funnel and cohort data, and translate insights into actionable recommendations that shape product strategy and revenue.

Qualifications

• Strong product mindset connecting data to business outcomes.
• Ability to move from raw data → insight → decision → action without unnecessary complexity.
• Hands-on experience with SQL and working with product analytics tools such as PostHog.
• Experience with defining metrics, tracking events, and building or improving data layers.
• Solid understanding of experimentation methodologies (A/B testing, cohort analysis, segmentation).
• Ability to interpret data critically and challenge assumptions or poorly designed experiments.
• Experience working on a live product with real users and revenue is strongly preferred.
• Strong analytical thinking combined with practical problem-solving skills.
• Ability to prioritize work based on impact and business value.
• Clear communication skills, with the ability to explain complex insights in a simple and actionable way.
• Proactive, ownership-driven mindset with a focus on outcomes rather than reporting.
• Comfortable working in a fast-paced, ambiguous environment without perfect data or processes.
• Curiosity and drive to continuously improve product performance and user experience.
• Team player with the ability to collaborate across product, growth, and engineering.

Responsibilities

• As you gain a deeper understanding of the product, you will take ownership of defining core product and business metrics.
• Using product analytics, funnel analysis, and cohort analysis, you will uncover friction points and high-impact opportunities, especially in onboarding and early user churn.
• A key part of your work will be experimentation and A/B testing. You will design, evaluate, and interpret experiments in a structured way, ensuring that results are measurable, interpretable, and comparable.
• You will apply segmentation techniques (e.g., user cohorts, device types, usage modes) and actively challenge assumptions to ensure only impactful initiatives move forward.
• Beyond analysis, you will actively influence decision making and prioritization. You will translate insights into clear, actionable recommendations, define success criteria for initiatives, and track outcomes using data-driven frameworks.

Skills

Product mindset

SQL

PostHog

Metrics definition

A/B testing

Cohort analysis

Segmentation

Data storytelling

Prioritization

Communication

Tools

PostHog

SQL

Analytics tools

Job description

You will start by building a reliable and trustworthy data foundation. This includes auditing existing tracking, identifying gaps, and defining new events and metrics so that the entire team can rely on a single source of truth. You will work hands-on with PostHog, SQL, and analytics tooling to ensure that user behavior and key performance indicators are measured accurately and consistently.

Responsibilities

• As you gain a deeper understanding of the product, you will take ownership of defining core product and business metrics. Using product analytics, funnel analysis, and cohort analysis, you will uncover friction points and high-impact opportunities, especially in onboarding and early user churn.
• A key part of your work will be experimentation and A/B testing. You will design, evaluate, and interpret experiments in a structured way, ensuring that results are measurable, interpretable, and comparable. You will apply segmentation techniques (e.g., user cohorts, device types, usage modes) and actively challenge assumptions to ensure only impactful initiatives move forward.
• Beyond analysis, you will actively influence decision making and prioritization. You will translate insights into clear, actionable recommendations, define success criteria for initiatives, and track outcomes using data-driven frameworks. Your work will directly shape product and growth strategy.
• Over time, you will help establish a strong data-driven culture, where decisions are based on evidence rather than intuition. You will play a key role in connecting data, product, and growth, and may help scale analytics into a high-impact data function within the company.

Required

• Strong product mindset with the ability to connect data to real user behavior and business outcomes
• Ability to move from raw data → insight → decision → action without unnecessary complexity
• Hands-on experience with SQL and working with product analytics tools such as PostHog
• Experience with defining metrics, tracking events, and building or improving data layers
• Solid understanding of experimentation methodologies (A/B testing, cohort analysis, segmentation)
• Ability to interpret data critically and challenge assumptions or poorly designed experiments
• Experience working on a live product with real users and revenue is strongly preferred
• Strong analytical thinking combined with practical problem-solving skills
• Ability to prioritize work based on impact and business value
• Clear communication skills, with the ability to explain complex insights in a simple and actionable way
• Proactive, ownership-driven mindset with a focus on outcomes rather than reporting
• Comfortable working in a fast-paced, ambiguous environment without perfect data or processes
• Curiosity and drive to continuously improve product performance and user experience
• Team player with the ability to collaborate across product, growth, and engineering

Benefits

• Competitive base salary with meaningful equity in a profitable, growing company
• High-impact role with direct influence on product and business decisions
• Opportunity to define and shape the company’s data and experimentation strategy
• Flat team structure with high ownership and autonomy
• Fast-paced environment focused on shipping and real outcomes
• Exposure to modern product analytics tools such as PostHog
• Work on a product used by millions of users globally
• Opportunity to grow into a data leadership role and build a team over time
• Collaborative culture with direct access to founders and decision makers
• Flexible working environment supporting productivity and ownership