Data Analyst

Location:

Liverpool, England, United Kingdom

Up to £45,000 | Liverpool City Centre | Hybrid (2 days/week in office - Monday & Tuesday)

Data-driven marketing agency working with clients to connect consumers with the right products. The company collects rich data across the entire consumer journey - from initial ad exposure through website browsing behavior to final conversion actions - and uses data analysis to drive every business decision. Small, focused data team investing in modern data infrastructure and analytics capabilities.

Join a data team of 4 professionals (2 Data Scientists, 1 Data Engineer, and yourself as the Data Analyst) working collaboratively to transform raw marketing data into actionable insights that directly drive revenue and business strategy.

Your work will answer strategic questions like:
Why do certain customer segments convert better than others? How can we optimize underperforming marketing channels? Which campaigns drive the highest quality leads? How do consumers interact with content across different touchpoints?

• Analyze marketing campaign performance across multiple channels
• Build web traffic and user behavior analysis to understand content engagement
• Design and analyze A/B tests to optimize conversion rates
• Conduct channel analysis to identify best-performing marketing channels
• Build Power BI reports and dashboards that deliver continuous insight to stakeholders
• Work with SQL daily to extract, transform, and model data
• Create semantic models in BI tools to power strategic reporting
• Collaborate with Data Scientists and Engineers to ensure data infrastructure serves business needs
• Translate business questions into analytical frameworks
• Take full ownership of getting analysis into production

This isn't a dashboard factory role - you'll have autonomy to identify the right questions, design rigorous experiments, and see your insights translate into real business decisions.

Database:
Snowflake

Transformation: dbt

Orchestration:
Airflow

As you evolve in the role, you'll have opportunity to suggest new tools to increase productivity and results.

• 2-4 years working with data end-to-end (ideally 3-4 years)
• Strong SQL skills - work independently creating queries to power semantic models
• Hands‑on Power BI (or Tableau/Looker) experience creating visuals and reports
• Marketing or customer analytics background - analyzing campaign performance, web traffic, customer behavior
• Statistical rigor - appropriately skeptical of patterns, understand how to design experiments that isolate real effects
• Product‑minded approach - care about the "why" behind analyses
• Clear communication skills - explain complex concepts to non‑technical stakeholders
• Ability to balance rigor with speed - know when analysis is good enough to solve the problem
• Must be located within 1‑hour commute of Liverpool city centre (non‑negotiable due to regular in‑office collaboration)

• Degree in a scientific discipline (Biology, Physics, Statistics, Computer Science, etc.)
• Experience analyzing and optimizing marketing campaign performance
• Retail, e‑commerce, or digital agency background
• Familiarity with dbt, Snowflake, or modern data stack tools
• Experience with A/B testing and experimentation
• Channel analysis and attribution modeling experience

• Salary:
  Up to £45,000
• Location:
  
  Liverpool city centre (Moorfields) - stylish office overlooking Liver Building and docks
• Working Pattern:
  Hybrid - 2 days per week in office (Monday & Tuesday)
• Team:
  Small focused data team of 4 (2 Data Scientists, 1 Data Engineer, 1 Data Analyst)
• Impact:
  High‑impact analysis that directly drives revenue, not endless reporting tickets
• Autonomy:
  Identify the right questions, design experiments, see your insights drive real business decisions
• Holiday: 22 days + bank holidays (increasing by 1 day per year to 25 days)
• Health:
  Private health insurance (Vitality, after probation)
• Pension:
  Company pension scheme
• Perks:
  Charity sports events, modern city centre workspace

1. Initial screening with hiring manager (60 minutes)

2. Technical discussion – SQL and analytical approach

3. Final interview with data team

Timeline: 2‑3 weeks

Send your CV to Mohammed Buhariwala at Harnham.

Data Analyst, Marketing Analyst, Marketing Analytics, SQL, Power BI, Campaign Analysis, Web Analytics, Channel Analysis, A/B Testing, Customer Analytics, Liverpool, Hybrid, Snowflake, dbt

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