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

Apply Now

Lead Data Analyst

Wiley Global Technology
City of London
3 days ago
Create job alert
Job Description

Lead Data Analyst

Location

Oxford, GBR

About the Role

As a Lead Data Analyst in the Marketing Data & Analytics team you will play a crucial role developing important datasets that influence strategic decision-making, shed light on campaign performance for our marketing teams, and ensure the success of our Lead Scoring reporting in uncovering new contacts and assessing conversion potential.

How you will make an impact
  • Develop SQL queries to gather, analyze, and blend large volumes of data from our GCP database. Explore data to identify trends, patterns, and opportunities for optimization.
  • Develop and maintain strategically insightful and visual dashboards ensuring that key stakeholders have access to actionable data to support decision‑making processes.
  • Provide analytical support to set marketing goals, own different types of marketing metrics/KPI, and review reports with marketing stakeholders to ensure these reports meet the teams evolving data needs.
  • Identify problems and opportunities through data analysis and support the Marketing teams in developing strategic solutions.
  • Evaluate lead generation and ABM campaigns. Utilize data analysis to assess the effectiveness of various marketing journeys, identify areas for improvement, and optimize performance.
  • Provide strategic recommendations based on data insights to influence business strategies and enhance overall performance.
  • Work collaboratively with the rest of the Marketing Data and Analytics team and provide technical guidance to junior team members.
We are looking for people who
  • Proven experience as a Data Analyst with strong proficiency in using complex SQL queries to analyze and manipulate large datasets to address real-world business challenges.
  • Significant experience working in a data analyst role with CRM tools like Salesforce and data objects like leads, opportunities, lead scores, and customer‑centric metrics.
  • Strong analytical and problem‑solving skills with the ability to convert data into actionable insights.
  • Proficiency in data visualization tools such as Power BI or similar.
  • Experience with Snowflake and GCP (BigQuery) or other cloud‑based data warehousing technologies is highly desirable.
  • Familiarity with Python is a plus.
  • Working knowledge of Lead Scoring criteria build and implementation is a plus.
  • Great communication skills capable of conveying complex technical concepts to non‑technical stakeholders.
  • A passion for academic publishing and a keen interest in the latest trends in the publishing industry is advantageous.
About Wiley

Wiley is a trusted leader in research and learning. Our pioneering solutions and services are paving the way for knowledge seekers as they work to solve the world’s most important challenges. We are advocates of advancement, empowering knowledge‑seekers to transform today’s biggest obstacles into tomorrow’s brightest opportunities.

With over 200 years of experience in publishing we continue to evolve knowledge seekers’ steps into strides illuminating their path forward to personal educational and professional success at every stage. Around the globe we break down barriers for innovators, empowering them to advance discoveries in their fields, adapt their workforces, and shape minds.

Wiley is an equal‑opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individuals’ status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance.

Key Skills

Data Analytics, Microsoft Access, SQL, Power BI, R, Data Visualization, Tableau, Data Management, Data Mining, SAS, Data Analysis Skills, Analytics

Employment Type

Full‑Time

Experience

Years

Vacancy

1

Monthly Salary

55,267 GBP


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Data Analyst (PM Support Team) | Hedge Fund - Selby Jennings

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.