Job Specifications
Data Analyst SQL (Junior → Mid-Level)– dynamic, agile SaaS SME – best bit? – The people culture!
You must have good experience with SQL.
Location: Oldham/Failsworth (Hybrid – 3 days in office, Mondays company-wide)
Salary: £35,000 – £40,000 + 5% bonus
Outstanding list of benefits and a scale up tech/SaaS business – thriving! (Est. 2012)
Who We’re Looking For:
Are you a curious, data-driven problem solver who loves turning raw numbers into insights that actually matter? Do you thrive in a fast-moving environment, take ownership of your projects, and get a buzz from seeing your analysis drive real decisions?
If yes, you’ll fit right in. We are a fun, positive, and collaborative team where your work will directly influence the business and our customers.
If you’re SQL-savvy, love turning data into insights, and want to grow in a friendly, collaborative, and ambitious team — this is your next challenge.
Ready to join? Let’s make data magic happen.
What You’ll Be Doing:
As part of our tight-knit Data Science team, reporting to a Senior data ninja you’ll be the go-to for data insights across the business. Think of yourself as a “full-stack analyst”:
Analyze & Visualize: Turn data into actionable insights via dashboards, reports, and visualizations. Looker experience is great, but if you’re familiar with Tableau or PowerBI, that works too.
SQL Heavy Lifting: Write complex queries to uncover trends, patterns, and opportunities. SQL is your superpower here.
Data Engineering Exposure: Help maintain pipelines and our BigQuery warehouse, and get hands-on with dbt. Don’t worry if you haven’t used dbt much — we’ll teach you!
Collaboration & Impact: Work across Product, Tech, and occasionally with customers to ensure data projects actually deliver value.
Pipeline Monitoring & Governance: Keep our data flowing smoothly, securely, and reliably.
You’ll have independence on your projects, but the support of an experienced team who love sharing knowledge — including Nick, who’s been leading our Data Science efforts for over 5 years.
What We’re Looking For
Experience: 2–3+ years in a data analysis or similar role.
Technical skills (key but flexible):
SQL (must-have)
Python (nice-to-have)
BI tools – Looker, Tableau, PowerBI (any strong visualization experience counts)
dbt / BigQuery / GCP – we’ll train if you’ve got solid SQL chops
Google Sheets / Excel – for quick wins and ad-hoc analysis
Professional qualities:
Curious and analytical – you love digging into the data and asking “why?”
Confident communicator – able to translate complex insights for non-technical stakeholders
Autonomous and proactive – you don’t wait to be told; you get stuck in
Positive, collaborative, and eager to learn – a can-do attitude is everything
Bonus points: University degree (but not essential).
Why this client?
Make an impact: Your insights shape decisions and influence strategy.
Positive vibes only: We work hard, but we play hard too. No drama, no politics.
Supportive culture: In it together, always. We share knowledge and help each other grow.
Growth-focused: Learn new skills, stretch your capabilities, and raise the bar.
The Process
Quick 2-stage process:
45-min interview with Nick + another tech team member
Small technical task – analyse a dataset and tell a story
Interviews can be scheduled Monday–Thursday
Start ASAP!
About the Company
Why Duval? A little about us... Just a bunch of people with a genuine desire to do recruitment properly. Let's be honest, recruitment isn't rocket science, but it is about people and that's where most agencies fall down. Duval was built on the idea of connecting people, understanding needs, opportunities and drivers and helping clients build happy, successful teams. It really is that simple. HERE, THERE and EVERYWHERE From Lands' End to John O'Groats, East Coast to West, we've recruited everywhere. We've been all over in the...
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