Data Analyst

Borehamwood
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Business Data Analyst

No hybrid working available

25 days holiday + bank holidays

Private healthcare

A fantastic opportunity to work for our established client, who are a significant player within their industry and are looking for a Business Data Analyst to work closely with the CFO in this newly created role.

Job description

  • Responsible for designing, developing and maintaining data models, dashboards and reports that drive decision making across the organisations.

  • The role holder will work closely with stakeholders to gather reporting requirements and translate them into effective data visualisations that update on a near-live basis throughout the day.

  • The principal toolbox is Microsoft with Power BI, Power Automate, Power Query, Copilot and Fabric expertise critical for the role.

  • The role holder shall actively explore, recommend and apply AI technologies to streamline report preparation, enhance data insights, and improve users’ ability to query and interact with data independently.

    Responsibilities:

    Power BI & Data Visualisation (Primary Focus)

  • Lead the design, development, and maintenance of Power BI reports and dashboards to deliver actionable insights and drive data- informed decision making.

  • Collaborate closely with the tech team to identify, assess, and integrate relevant data sources from the TAB platform and wider Microsoft ecosystem.

  • Prepare data sets for AI interrogation – Make best use of AI developments to speed the development of standard reports and ability of non expert users to query the data using AI tools.

  • Work with stakeholders to understand key business metrics and translate requirements into clear, visually effective Power BI dashboards.

    Business Analysis

  • Conduct structured business analysis to identify opportunities for reporting improvements, process automation, and operational efficiency.

  • Document business requirements and translate them into functional specifications for reporting and automation use cases.

    Power Automate & Workflow Integration

  • Design, build, and maintain automated workflows using Power Automate to streamline business processes and enhance data integration across Microsoft services.

  • Integrate Power BI reporting outputs with automated alerts or approval flows, improving responsiveness and reducing manual intervention.

  • Leverage AI tools and automation to augment reporting cycles and data quality assurance.

    Microsoft 365

  • Provide user support and training with a focus on enabling users to self-serve through Power BI and Excel.

  • Support new user setup with a focus on Power BI access, permissions, and report onboarding.

    Requirements:

  • Ability to author Power BI reports / Power Query

  • Power user of Office applications, Outlook, Word, Excel, Teams

  • Ability to author Power Automate flows

  • Familiarity with Office 365 admin portal

  • Exposure to data governance, data quality and data management practices

  • Proactive approach to problem solving. Curious about AI

  • Collaborative and comfortable engaging stakeholders at all levels across the organisation

    Due to a very high number of applications, we are unable to come back to every candidate with feedback. If you do not hear from us within 48 hours, please assume that you have been unsuccessful on this occasion. Your CV will be registered with us, and we will keep you updated with any other positions that may be of interest. However please keep checking our website as new roles will be updated daily, Nouvo Recruitment (London) wishes you the best of luck in your job search.

    Nouvo Recruitment (London) operate as an independent recruitment agency with over 20 years of experience supporting clients and candidates nationally across the UK

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.