Data Analyst

Data Analyst – dynamic, agile SaaS SME – SQL magic - Hybrid - Awesome agile company and culture! scale up tech/SaaS business – thriving! (Est. 2012)

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.

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: NEGOTIABLE SALARY up to £48,000 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!