Data Analyst

Adler and Allan
Waltham Cross
10 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Location - Remote - with expected travel to our Waltham Cross Office

Permanent, full-time 

Competitive salary plus benefits

 

We are looking for a Data Analyst to join our small but growing analysis team. This is a hybrid role, with travel to our Waltham Cross office.


You will help expand and improve our business analysis capabilities and enable data driven decision making. Possessing excellent analysis and communication skills, you will work closely with commercial and operational stakeholders to establish clear business questions and deliver insights, reporting and analysis.


More about the role:

 

  • Work with a range of stakeholders to identify requirements and develop BI dashboards.
  • Create and maintain rich interactive visualisations through data interpretation and analysis using multiple data sources.
  • Help develop and maintain our SQL data warehouse.
  • Improve data quality through process/system improvement projects and documentation.
  • Liaise with management and stakeholders to prioritise business needs and gather requirements, provide status updates, and build relationships.
  • Manage ad hoc requests using our ticketing system.
  • This list is not exhaustive, and the data analyst will be expected to demonstrate initiative and ownership of other duties and tasks outside of this job description.

 

About you:


Are you passionate about turning data into actionable insights?

Do you love analysing trends, uncovering patterns, and helping drive data-driven decisions?

Are you happy to travel to our Waltham Cross Offices frequently?

 

The role requires someone who is motivated to continually improve the accuracy and consistency of data sources and analysis outputs, including our SQL data warehouse and suite of Qlik dashboards.As such, experience using SQL and data visualisation tools such as Qlik or an equivalent BI platform is desirable, but what's more important is that you're keen to learn and adapt to new systems.

If this sounds like you, we would like to hear from you!!

 

About us:

 

At Adler and Allan Group, we're not just a company - we're environmental champions committed to protecting our planet while helping businesses thrive. We're a diverse, dynamic team dedicated to providing top-tier environmental, energy and water infrastructure services across the UK. Our mission is clear: safeguarding the environment, minimising operational disruptions, and supporting sustainability goals for our valued clients.

 

Adler and Allan are committed to fostering diversity and inclusion in our workplace. We proudly embrace equal opportunities for all applicants, regardless of race, colour, religion, sex, sexual orientation, gender identity or national origin. If you require any support with your application, whatever the circumstance, please let us know.

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.

Education Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.