Product Data Analyst

PSR Limited
Edinburgh
2 days ago
Create job alert

This cookie notice applies to the Workday Careers website****A cookieare widely used for website’s functionality, or to make it operate more efficiently, as well as to provide information to the owners of the site.* We use re-targeting (which is a cookie-based technology) that uses simple Javascript code to anonymously 'follow' our audience all over the Web. We use this technology to target individuals for advertising campaigns.To understand how the FCA collects and processes personal data please refer to the .have been set, visit or .To find information relating to other browsers, visit the browser developer's website.To opt out of being tracked by Google Analytics across all websites, visit .## Banner.We use re-targeting (which is a cookie-based technology) that uses simple Javascript code to anonymously 'follow' our audience all over the Web.# Accessibility StatementThis accessibility statement applies to content published on thedomain and its sub-domains. It does not apply to content on https://www.fca.org.uk/ or other domains.This website is run by the Financial Conduct Authority. We are committed to inclusive design and ensuring that our web content is accessible to all.For example, that means you should be able to:* zoom in up to 300% without the text spilling off the screen* navigate most of the website using just a keyboard* navigate most of the website using speech recognition software* listen to most of the website using a screen reader (including the most recent versions of JAWS, NVDA and VoiceOver)We’ve also ensured that the text is clear and easy to understand. has advice on making your device easier to use if you have a disability.## How accessible this website isWe know some parts of this website are not fully accessible:* Checkboxes are not accessible using standard voice commands.* Some radio buttons are not given group titles when tabbing to them using a screen reader.* Edit combo fields with options lists can be difficult to navigate to with voice commands when the field is completed.* The programmatic labelling of edit combo fields with options lists is not clear when using a screen reader.## Feedback and contact informationIf you need information on this website in a different format contact us and tell us:* the web address (URL) of the content* your name and email address* the format you need – for example large print, braille or audio## Reporting accessibility problems with this websiteWe’re always looking to improve the accessibility of this website. If you find any problems not listed on this page or think we’re not meeting accessibility requirements, contact us.## Enforcement procedureThe Equality and Human Rights Commission (EHRC) is responsible for enforcing the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018 (the ‘accessibility regulations’). If you’re not happy with how we respond to your complaint, .## Technical information about this website’s accessibilityThe Financial Conduct Authority is committed to making its website accessible, in accordance with the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018.## Compliance statusThis website is partially compliant with the AA standard, due to ‘the non-compliances’ listed below.## Non-accessible contentThe content listed below is non-accessible for the following reasons.## Non-compliance with the accessibility regulations* Checkboxes are not accessible using standard voice commands such as “Click checkbox” and can only be accessed by using “Tab” commands. This fails WCAG 2.1 success criterion 1.3.1 (Information & Relationships).* Some radio buttons are not given group titles when tabbing to them using a screen reader. This fails WCAG 2.1 success criterion 1.3.1 (Information & Relationships).* Edit combo fields with options lists can be difficult to navigate to with voice commands when the field is completed. This fails WCAG 2.1 success criterion 1.3.1 (Information & Relationships).* The programmatic labelling of edit combo fields with options lists is not clear when using a screen reader. This fails WCAG 2.1 success criterion 1.3.1 (Information & Relationships).## What we’re doing to improve accessibilityWe are actively engaging with our site developers and independent accessibility professionals to address the issues above and improve overall accessibility with the eventual goal of attaining full WCAG AA compliance.## Preparation of this Accessibility StatementThis statement was prepared on 22nd July 2021. It was last reviewed on 22nd July 2021.This website was last tested on 02/02/2021. Testing was carried out by Blazie Engineering using the Website Accessibility Conformance Evaluation Methodology (WCAG-EM) approach to deciding on a sample of pages to test.Job Title: Product Data Analyst National (Edinburgh and Leeds) ranging from £43,100 to £57,430 and London from £47,300 to £63,000 (salary offered will be based on skills and experience)This role is graded as: Associate – level 8 – Regulatory Role responsibilities Take ownership and thoughtfully refine the product data backlog, translating business needs into actionable data requirements and prioritised analytics features that align with organisational goals Join a purpose-led culture that celebrates diversity and trust, empowering individuals without micro-management, encouraging creativity in technology-focused teams and ensuring work that makes a positive difference Skills requiredProven experience managing product data backlogs and writing clear user stories in Jira, applying Agile and Scrum principles Prior experience in data analysis and visualisation, including building dashboards and reports using Salesforce, Power BI, and Tableau Proven experience in data governance and modelling, translating business requirements into data solutions, ensuring data integrity and quality and working with approved data management tools for lineage and metadataExperienced or motivated to lead innovation initiatives, support compliance and reporting requirements and contribute to building a culture of continuous improvement in data analyticsBenefits A flexible benefits scheme designed around your lifestyle For a full list of our benefits, and our recruitment process as a whole visit . We welcome diverse working styles and aim to find flexible solutions that suit both the role and individual needs, including options like part-time and job sharing where applicable. , and therefore, people or individuals with disabilities and long-term conditions who best meet the minimumvolumes, we may progress applicants whose experience most closely matches the role’s key requirements. criteria for a role will go through to the next stage of the recruitment process. In cases of high application Useful information and timeline* Advert Closing: 18th January at 11:59pm* CV Review/Shortlist: 19th – 20th January* Interviews W/C: 26th January* SC Clearance is required for this role (SC Guidance) - you will hold or will be required to obtain Security Check (SC) level vetting* Your Recruiter will discuss the process in detail with you during screening for the role, therefore, please make them aware if you are going to be unavailable for any date during this time.

#J-18808-Ljbffr

Related Jobs

View all jobs

Product Data Scientist

Product Data Analyst

Product Data Analyst — Hybrid: Up to 60% Remote

Strategic Product Data Analyst

Product Data Scientist

Principal Data Scientist

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.

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.

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.