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Harnham

Data Analyst

London
£45k/yr
Posted about 16 hours ago
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Data Analyst

Location: London (Hybrid, 4 days in office)

Salary: £45,000 + Bonus


This is an excellent opportunity

This is an excellent opportunity to play a key role in turning complex datasets into meaningful insights. You'll work across a range of high-profile communications and brand measurement projects, helping stakeholders understand performance, audience engagement, and brand impact through data.


The Company

This specialist analytics consultancy supports clients with data-driven decision making across communications, marketing, and brand performance. They bring together data from multiple sources to deliver actionable insights and strategic recommendations. With a collaborative team environment and a strong focus on technical development, they are looking to strengthen their analytics engineering capability as demand continues to grow.


The Role

As a Data Analyst, you will bridge the gap between data engineering and analytics, ensuring data is accessible, accurate, and ready for insight generation.

Key responsibilities include:

  • Building and maintaining SQL-based data transformation workflows
  • Connecting, validating, and quality checking data from multiple sources
  • Supporting data movement and optimisation within Snowflake environments
  • Working with website analytics, social media, social listening, and research datasets
  • Contributing to a large-scale text classification project analysing online content and brand visibility
  • Writing and maintaining production-quality code using SQL and Python
  • Collaborating with analysts to ensure data is structured for reporting and storytelling
  • Identifying opportunities to improve processes, automate workflows, and enhance analytical capabilities
  • Supporting the development of scalable and reliable data solutions

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.


Your Skills & Experience

  • Strong commercial experience using SQL for data transformation and analysis
  • Working knowledge of Python for data manipulation and analytical projects
  • Experience working with cloud-based data platforms, ideally Snowflake
  • Understanding of data pipelines, data quality, and validation processes
  • Interest in developing analytics engineering skills, including exposure to dbt
  • Experience using BI and visualisation tools such as ThoughtSpot, Tableau, or Power BI
  • Ability to communicate technical concepts clearly to non-technical stakeholders
  • Experience working across multiple teams, agencies, or stakeholder groups
  • Exposure to digital, marketing, communications, or customer data would be advantageous
  • Experience with social listening tools or Sprinklr is beneficial

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What They Offer

  • Salary of £45,000
  • Annual bonus scheme, typically around 8%
  • Hybrid working model with one flexible home-working day per week
  • Employee-owned business structure
  • AXA dental cover
  • Exposure to a broad range of analytics and data engineering projects
  • Opportunity to learn and develop skills in Snowflake, dbt, and modern analytics engineering practices
  • Collaborative environment with strong opportunities for progression and technical growth

Please note

Please note that sponsorship is not available for this position. Applicants must have the unrestricted right to work in the UK.


How to Apply

If you are interested, please apply below.

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Skills

SQL
Python
Data Transformation
Data Analysis
Cloud-Based Data Platforms
Snowflake
Data Quality
Validation Processes
BI Tools
Data Visualization
Digital Marketing
Communications
Customer Data
Social Listening
Text Classification

Location

London, England, United Kingdom

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