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

Apply Now

Campaign Administrator - Part Time

Wimbledon
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Associate Director or Principal Statistician, Real-World Biostatistics

Data Engineer

Data Engineer

Data Engineer

Data Engineer

My client are based in Wimbledon and are currently recruiting for a Part Time Administrator, 21 hours per week. The salary is £25k full time equivalent.
 
Key responsibilities:

Create, manage, and execute the monthly campaign schedule timely and accurately.
Run morning and end of day reports by agreed timelines.
Monitor real time campaigns daily, raising any issues and managing through to resolution.
Ensure administration logs and campaign trackers are kept up to date for audit purposes.
File and manage campaign output reports on a daily basis escalating, & solving any arising issues.
Ensure data integrity through following internal QA processes, identifying issues and escalating through correct channels.
Effectively manage relationships with key stakeholders to ensure that they are kept up to date with any issues affecting timely and accurate campaign deployment.
When required assist with builds of various CRM campaigns in the campaign management tool accurately.
Monitor and analyse campaigns on an adhoc basis.
Identify and escalate opportunities for improvements in marketing and operational performance.
Identify and recommend any improvements in processes.
Contribute to the BAU procedures, Build Guide, Sign off Guide documents on an adhoc basis.
You will be required to contribute to the administration, and production of reports and analysis that are essential to optimising our customer communications.
Ensuring datasets for these campaigns are built and delivered to the appropriate fulfilment agent on time.
Ad hoc tasks as and when required. Key skills:

Excellent attention to detail skills.
Strong experience using Microsoft Outlook, Word, Excel and PowerPoint.
Previous experience using a CRM system.
Ideally experience using MS Access, SQL and Campaign selection tools.
Strong communication skills with the ability to communicate with stakeholders at varying levels across the business.
Strong quantitative analytical skills.
Ideally previous experience in working in a direct marketing or database marketing environment

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.