Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst

Cellence Plus
Liverpool
5 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Join a data-savvy executive search firm shaping insight-led decisions.


We’re looking for a sharp, detail-drivenData/Research Analystto help deliver high-quality data and research that fuels our executive search work. This is a great opportunity for a recent graduate or early-career professional to buildhands-on experience in data governance, executive research, and operational deliveryin a collaborative, fast-paced environment.


You’ll work across teams to ensure our CRM data is accurate, well-structured, and compliant, supporting market insight, assignment delivery, and continuous improvement.


What you’ll do

  • Maintain clean, current, and GDPR-compliant CRM data (Invenias)
  • Conduct regular data audits and apply data governance standards across assignments
  • Format and structure data to support ease of use and insight generation
  • Assist with research outputs, including Market maps, Longlists, Industry and role-specific insights
  • Track industry trends and key moves (“movers & shakers”) to keep internal stakeholders informed
  • Use AI tools and automation to streamline data and research processes
  • Collaborate with Consultants, Researchers, and Operations team members to support high-quality delivery


What you’ll bring

  • Degree in Business, Economics, Data Science, AI or a related field
  • Strong Excel skills and an enthusiasm for tidy, accurate data
  • Highly organised and detail-orientated, with strong quality-checking habits
  • Curious mindset and willingness to learn new tools and approaches
  • Clear communication skills and a collaborative attitude
  • Bonus if you have experience with any of the following: Invenias or other CRM platforms, LinkedIn Recruiter or online business research tools, Power BI, Python, SQL, or similar, understanding of GDPR or prior experience in search/recruitment.


Why Cellence Plus?

  • Join a collaborative team where insight matters
  • Help connect data points across markets, roles, and clients to shape a joined-up view of the talent landscape
  • Contribute to a business where high-quality data and research enable strategic decisions
  • Develop core skills that support a future career in data, research, or executive search

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.