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

Apply Now

Senior Data Analyst

Arqiva
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst - Chelmsford

Senior Data Analyst - Trading - Orbis Consultants London

Senior Data Analyst - Tableau, Data Visualisation

Location: We operate a flexible, hybrid working environment with the candidate required to travel to either our Winchester or London office once or twice a week.

We offer 

Up to £60,000 base salary 6% pension contribution  Private Medical  25 days annual leave Access to our comprehensive flexible benefits including discounts on big brands, wellness and employee assistance programmes, gymflex, buy and sell annual leave, travel and dental insurance  Work. Life. Smarter. Our commitment to a flexible and hybrid working culture 

Overview 

Analyses datasets to derive actionable insights, trends, and reports, supporting data-driven decision-making. Cleans and prepares data, creates and manages BI dashboards, and provides ongoing performance analysis. Evaluates decision options using scenario analysis and collaborates with stakeholders to optimise business outcomes.

The role 

Lead data analytics projects to drive strategic decision-making Perform data extraction, cleaning, and analysis Develop and maintain reports, dashboards, and visualisations Collaborate with stakeholders to understand data needs Identify trends, patterns, and opportunities through analysis. Participate in data validation and quality initiatives Identify opportunities for process automation Act as a coach and SME for data analysis

The person 

Strong proficiency in SQL for data extraction, manipulation, and analysis, as well as proficiency in Python for statistical analysis Strong proficiency with data visualisation tools such as Tableau, QlikSense, or similar, including building dashboards for decision-makers Familiarity with data warehousing, ETL/ELT processes, and large-scale data platforms (Snowflake, Databricks Qualifications: A degree (or equivalent experience) in Computer Science, Mathematics, or a related field is advantageous

Skills

Communication Skills Analytical Thinking Data Analysis Data Modelling Data Visualisation Data Governance Problem Solving Continuous Improvement Agile Methodologies

Why join Arqiva? We are the undisputed leader in UK TV and radio broadcast, and the UK’s leading Smart utilities platform. This means we have a strong heritage and foundation for future growth for you to grow your career with us.

Our journey is to transition global media distribution to cloud solutions, where we aim to double our revenue and continue to grow by being an innovator of scalable solutions for new connectivity sectors. We have opportunities in new technology applications and products, you will have opportunities to learn and develop with us. 

Your wellbeing…. Our wellbeing mission is to help our people to be the best version of themselves at work and still have the time and energy to live a full life outside of work. 

Our focus for 2024 is to Win, Grow, Go Faster – find out more, contact us and apply!

Inclusive Arqiva ….Our networks include our Diversity Ambassadors, Eldercare, Spectrum, Working Families, Pride, Veterans and Inspiring Women – join and contribute to our active networks! 

#LI-KM1

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.