Senior/Lead Growth Analyst

Katkin; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

MacBook

Health insurance

Professional development budget

Annual leave 26 days

WFH 1 day per week

Work From Anywhere up to 2 weeks per年

Pension plan

Cycle to work

Job summary

KatKin is seeking a Growth Analyst to help optimise Acquisition, Retention and Product growth. You will be an embedded strategic partner to growth teams, shaping questions, surfacing opportunities, and turning analysis into clear recommendations that move the business forward.

You will work closely with Marketing and Product, using data to understand where growth is coming from, identify where value leaks occur, and determine interventions to improve conversion, retention and marketing

Qualifications

• Experience in marketing/product/growth analytics.
• Ability to analyse funnels, cohorts, experiments and lifecycle behaviour.
• Strong SQL skills and comfort with large datasets.
• Ability to influence senior stakeholders and partner across teams.

Responsibilities

• Lead data analysis on CRO, funnel and channel performance weekly and monthly.
• Identify risks and opportunities through proactive monitoring and reviews.
• Design, analyse and interpret experiments (A/B, incrementality).
• Collaborate with Marketing and Product to shape strategy and priorities.
• Build narratives from data and turn analysis into actionable recommendations.

Skills

Marketing analytics

Product analytics

Growth analytics

SQL

Data interpretation

Cross-functional collaboration

Tools

SQL

Looker

BigQuery

dbt

Hex

PostHog

Snowplow

Job description

KatKin's Opportunity

We are looking for a Growth Analyst to help KatKin make better, faster decisions across Acquisition, Retention and Product growth.

You will be expected to work as an embedded strategic partner to growth teams: shaping the questions we ask, identifying opportunities before they become briefs, and turning analysis into clear recommendations that move the business forward.

You will sit close to Marketing, and Product teams, using data to understand where growth is coming from, where we are leaking value, and which interventions will improve conversion, retention, customer quality and marketing efficiency. Your work should directly influence prioritisation, experimentation, channel investment, customer journey decisions and growth roadmaps.

The right person will combine strong analytical capability with commercial judgement, product intuition and the confidence to influence senior stakeholders. You will not just explain what happened; you will help the business decide what to do next.

What we do at KatKin

Why You’ll Love Working With Us

The Role

Performance analysis

• Lead data analysis across CRO, funnel optimisation, channel performance, attribution, campaign effectiveness and customer lifecycle behaviour on a weekly, monthly cadence and as needed.

• Spot risks and opportunities early through proactive monitoring, anomaly detection and regular performance review.

• Proactively identify growth opportunities across acquisition, conversion, retention, customer quality and marketing efficiency.

Experimentation and optimisation

• Design, analyse and interpret experiments, including A/B tests, incrementality tests and other practical approaches to measuring impact.

• Partner with Marketing and Product teams to shape strategy, prioritise initiatives and improve decision quality.

Customer insights

• Build a deep understanding of customer behaviour, including who we acquire, how they convert, where they drop out and what drives long-term value.

• Develop clear narratives from data, turning complex analysis into simple, opinionated recommendations for action.

Root cause analysis

• Diagnose performance trends and identify the root causes behind changes in key growth metrics.

• Define and monitor success metrics for major growth initiatives, ensuring teams know whether their work is having the intended impact.

• Translate ambiguous business questions into analytical frameworks, measurable hypotheses and clear recommendations.

Data management (including Looker optimisation)

• Work with Analytics Engineering to improve data foundations, tracking quality, metric definitions and self-service capability.

• Raise the analytical bar across the business by helping teams ask better questions, interpret data correctly and use dashboards/AI tools effectively.

Commercial analysis (to support the Commercial Finance team to evaluate trade offs)

• Help teams understand the trade-offs between volume, quality, efficiency, retention and profitability.

• Partner closely with Finance to evaluate the full ROI of initiatives.

Key ownership areas

Who we are looking for:

• Strong experience in marketing analytics, product analytics or growth analytics

• Excellent SQL skills and comfort working with large, complex datasets

• Experience analysing funnels, cohorts, experiments, campaigns and customer lifecycle behaviour

• Experience with attribution, marketing mix, channel optimisation and performance marketing analytics

• Ability to move beyond descriptive reporting into diagnosis, recommendation and action.

• Strong commercial judgement: you understand that not all growth is equal, and can connect customer behaviour to business outcomes.

• Confidence working with cross-functional partners across Marketing, Product, Finance, Engineering and Data

• Clear communication skills, with the ability to tell simple, persuasive stories from complex analysis

• High agency and curiosity: you do not wait for perfect briefs, and you actively look for ways data can improve business performance.

• Comfortable operating in ambiguity, prioritising ruthlessly and focusing on work with measurable impact.

• A strong bias towards action, with the judgement to know when analysis is “good enough” to support a decision.

Nice to haves

• Experience in a subscription, ecommerce, consumer, marketplace or DTC business.

• Experience with experimentation design, incrementality testing or causal inference.

• Familiarity with dbt, BigQuery, Looker, Hex, PostHog, Snowplow or similar tools

• Experience using AI tools to accelerate analysis, investigation, monitoring or insight generation

• Experience defining tracking plans and working with event stream data

What We Offer

• Competitive salary + benefits package

• MacBook

• Health insurance with AXA, including dental and optics

• Professional development budget of up to £800 each year

• Annual leave of 26 days including your Birthday and in addition to bank holidays

• An extra day of annual leave for every year of employment, up to four days

• Pension plan with company contributions

• Enhanced Parental leave

• 1 day WFH each week

• Work From Anywhere up to 2 weeks per year

• 50% discount on KatKin fresh meals for your cat/s

• Office cats, dogs, fresh fruit and good people

• Team socials and events

• Cycle to work scheme