Standing on Giants
Community Data Analyst

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About The Company
Standing on Giants is the world’s first agency for businesses that want to build a brand-owned, online community. We empower businesses to build thriving online communities that put their customers at the centre of everything they do. Born from the team that created the revolutionary community-led model at mobile disruptor giffgaff, Standing on Giants now works with leading businesses like Airbnb, Sonos and Utilita, helping them launch successful communities that deliver real results. We are Khoros Kudos award-winners, recognising our work as Best-In-Class.
We are proud to be the first online community company to attain B Corp Certification, meaning we ascribe to the highest standards of environmental and social responsibility. As a company, our vision is a world where business works for the benefit of people and the planet, not just profit, powered by trusting and collaborative communities. As a result, we must take active steps towards this every day in our work. Our people are, therefore, of central importance. We have a range of employee benefits to enable you to do your job to the best of your ability and we pride ourselves on our supportive, open environment and shared efforts to keep our working practices as sustainable as possible.
About The Role
As a Community Data Analyst, you will be supporting our Community Insights team for Airbnb, performing analytical and reporting tasks, leveraging both qualitative and quantitative data. You will use your curiosity as well as your interest in data to identify, present and suggest results, trends and learnings. You will also be able to identify best practices and propose solutions for improving the ways of working within the team as well as with the client.
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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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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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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.
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.
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.
You will be hard-working, have exceptional attention to detail and will be quick to learn. If you have an open, honest and collaborative approach to your job, you’ll fit right in.
Responsibilities
- Collect, export and prepare raw data for analysis
- Track ad-hoc conversation topics to provide quick insights on community health
- Leverage AI and automation solutions to improve the analysis of large volumes of community feedback
- Qualitative data coding and categorisation
- Build and maintain dashboards to facilitate reporting and data visualisation
- Analyse community conversations and feedback in order to provide actionable insights
- Write and peer review client-facing community reports
Required Skills & Experience
- Fluent in English with exceptional written and verbal communication skills
- Experience in data analysis or similar field
- Great attention to detail with strong organisational and prioritisation skills, ideally with experience using project management tools (Airtable, Asana, etc.)
- Competent understanding of analytics and reporting tools such as Looker Studio, Sprinklr or Google Analytics
- Experience with qualitative data categorisation or thematic analysis
- Good technical understanding and ability to pick up new tools quickly
- Proficient with MS Excel, Google Workspace (Docs, Sheets, Slides) for documentation and data management
- Ability to cope with a fast-paced work environment and change
- Interest in online communities


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Nice to have
- Fluency in a second language is a plus
- Familiarity with Claude or other AI tools for data analysis
- Familiarity with Salesforce, Superset
- Familiarity with Airtable
- Basic knowledge of SQL
We are an Equal Opportunities employer, we do not discriminate against any employee or applicant because of race, colour, religion, national origin, sex, physical or mental disability, or age. We are committed to creating a diverse and inclusive working environment.
Please let us know if you require any reasonable adjustments during the interview process.
The hiring stages include an initial 30-minute interview, a test a 1-hour main interview and a 30 minute final interview.
Please note that we will carry out criminal and financial background checks on successful candidates.
Due to the high number of applications, we are only able to contact successful applicants.
Location
Remote role, based in the UK, with frequent travel to London.
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