Data Analyst – Tell the story! Dynamic, agile SaaS SME – SQL magic - Hybrid
Turning complex data sets into clear insight, identify trends, opportunities, risks, using a commercial mind and communicating the narrative behind the numbers to non technical stakeholders. scale up tech/SaaS business – thriving! (Est. 2012)
Why is it happening?
What do the results mean?
How does it affect the business?
Commercial Analysis?
Location: Failsworth, Manchester M35 (Hybrid – 3 days in office, Mondays company-wide)
Salary: up to £45,000 DOE brilliant benefits and 34 days holiday inc BH
Who We’re Looking For: commercial data mindset
Are you an experienced 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: 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!