Data Analyst

Yorkshire Dental Suite
Leeds
10 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Job Title:Data Analyst

Location:LS12, On-site

Reports To:Marketing Director / Operations Manager

Job Type:Full-Time

Salary: £40- £45k DOE

About Yorkshire Dental Suite

Yorkshire Dental Suite is a leading private dental practice, known for its innovative approach to patient care, advanced cosmetic treatments, and a commitment to excellence. As we continue to grow, we’re looking for a data-driven professional to help us make smarter business decisions through insightful analysis and strategic guidance.

Role Overview

We're looking for a proactiveData Scientist / Analystto join our growing team. You’ll play a key role in analysing performance across all areas of the business, with a strong focus on marketing campaigns, lead generation, and conversion rates. Using HubSpot and other data sources, you’ll be responsible for turning data into actionable insights that drive growth and optimise performance.

Key Responsibilities

  • Analyse data from day one to understand current performance across departments.
  • Monitor and evaluate lead generation, campaign performance, and patient acquisition funnels.
  • Track and report on key conversion metrics at every stage of the customer journey.
  • Develop dashboards and reports using HubSpot and other relevant tools.
  • Identify trends, inefficiencies, and opportunities for optimisation.
  • Work closely with marketing, sales, and operational teams to recommend data-driven strategies.
  • Create and maintain data pipelines and ensure data integrity and consistency.
  • Translate complex data into clear, actionable insights for non-technical stakeholders.

What We’re Looking For

Essential:

  • Proven experience as a Data Analyst, Data Scientist, or similar role.
  • Strong knowledge of HubSpot reporting and analytics.
  • Solid understanding of marketing funnels, lead tracking, and conversion optimisation.
  • Proficiency in data visualisation tools (e.g., Tableau, Power BI, HubSpot dashboards).
  • Experience with SQL and/or data manipulation tools.
  • Ability to communicate complex data insights clearly and effectively.
  • Strong attention to detail and critical thinking skills.
  • Self-starter mindset – able to work independently and collaboratively.

Preferred:

  • Experience working within a healthcare or dental setting.
  • Familiarity with CRM integrations and automation.
  • Understanding of Google Analytics, paid ad reporting, or SEO data.

Why Join Us?

  • Be part of an award-winning, fast-growing dental practice.
  • Collaborate with a passionate and forward-thinking team.
  • Work in a culture that values data-led decisions and continuous improvement.
  • Competitive salary and benefits package.
  • Opportunity to shape data strategy from the ground up.

Ready to make an impact through data? Apply now and help shape the future of Yorkshire Dental Suite.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.