Administrator & Data Analyst

Milton Keynes
1 month ago
Applications closed

Related Jobs

View all jobs

Junior Customer Data Analyst

Data Analyst and Systems Implementation Owner

Data Analyst and Systems Implementation Owner

SQL DBA & Data Warehouse Administrator

SQL DBA and Data Warehouse Administrator

SQL DBA and Data Warehouse Administrator Information Technology · Guildford

We are looking for a highly organised, detail-focused Administrator & Data Analyst to support our daily business operations. This role combines administrative duties with data management, customer service, and strong use of Excel and PowerPoint.

This position includes a clear progression pathway, with the opportunity to develop and grow into a Specialist Manager role, working closely alongside the current Manager as you advance.

Key Responsibilities

Administration

Manage daily administrative tasks including email handling, filing, document preparation and scheduling.

Process customer orders, update internal systems, and maintain accurate records.

Support management with general office tasks and ad hoc admin projects.

Liasing with internal and external stakeholders

Data Analysis & Reporting

Collect, clean and organise data from various sources.

Create and maintain spreadsheets, trackers and reports using Excel (formulas, pivot tables, charts, etc.)

Customer Service

Be a key point of contact for customer enquiries via phone and email.

Provide friendly, clear and efficient communication to support a positive customer experience.

Resolve issues and escalate complex queries when needed.

Build and maintain strong customer relationships.

Analyse data trends and highlight insights to support decision-making.

Prepare professional PowerPoint presentations and reports for internal and external use.

Skills & Experience

Strong administration experience in a busy office environment.

Excellent Excel skills (formulas, pivot tables, VLOOKUP/XLOOKUP, charts).

Confident creating high-quality PowerPoint presentations.

Strong customer service skills with a professional manner.

High attention to detail and strong organisational skills.

Ability to manage multiple tasks and deadlines.

Good written and verbal communication abilities.

Able to work independently and as part of a team.

Desirable

Experience with CRM or order-processing systems.

Knowledge of data visualisation tools (Power BI or similar).

Previous data analysis or reporting experience.

Personal Attributes

Proactive and self-motivated

Logical problem-solver

Progression Path

Opportunity to work closely with the Manager on operational and analytical projects.

Clear route to develop into a Specialist Manager role, based on performance and skill development.

Ongoing training and support provided to help you progress within the team.

Calm under pressure

Reliable and trustworthy

Confident and friendly communicator

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.

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.