IPREg - Data and Evidence Analyst

IPREg - Data and Evidence Analyst

Full-Time 55000 - 60000 £ / year (est.) Home office (partial)
F

At a Glance

  • Tasks: Transform data into actionable insights to inform strategy and decision-making.
  • Company: Join the Intellectual Property Regulation Board, a key player in regulatory standards.
  • Benefits: Enjoy a competitive salary, generous holiday, health benefits, and life insurance.
  • Other info: Hybrid work model with excellent career growth opportunities in a dynamic environment.
  • Why this job: Make a real impact by shaping a new data function and influencing strategic decisions.
  • Qualifications: Experience in data analysis, strong communication skills, and a knack for problem-solving.

The predicted salary is between 55000 - 60000 £ per year.

Do you have experience turning data into actionable insight that informs strategy, policy, or business decision-making? Can you identify patterns, risks and opportunities across disparate data sources and confidently communicate your findings to senior stakeholders? Are you excited by the opportunity to build a modern data and evidence function, helping an organisation move from reactive reporting to proactive, evidence-led decision-making? If so, this might be the perfect role for you!

The organisation Our client is the Intellectual Property Regulation Board (‘IPReg’), the independent regulatory body of Patent Attorneys and Trade Mark Attorneys. IPReg oversees the qualification and ongoing professional standards of Patent Attorneys and Trade Mark Attorneys, including education and training, firm registration and licensing, continuous professional development, professional conduct, and disciplinary processes. We are delighted to be partnering with IPReg to recruit a newly created Data and Evidence Analyst role.

The role This is far more than a traditional data analyst position. IPReg already holds a wealth of regulatory, compliance and operational data, but they recognise there is untapped value within that information. They also know there are important questions about consumers, the market and future regulatory risks that they cannot yet answer with confidence. Working closely with the Deputy CEO, and the leadership team, you will help IPReg better understand the data the organisation already holds, identify gaps in its evidence base, uncover emerging trends and risks, and provide the insight needed to support future policy and regulatory decisions. You will play a key role in implementing IPReg's emerging data strategy, improving data quality and governance, developing regulatory intelligence, and helping the organisation move from a reactive to a proactive approach to regulation. IPReg is looking for someone naturally curious, comfortable with ambiguity and confident working in a developing environment. This is an opportunity for someone who enjoys asking questions, connecting disparate information, spotting patterns and helping an organisation understand not just what is happening now, but what may happen next.

Key facts Location: Hybrid – Home based combined with minimum 50% office attendance (London EC1A 7DH). Salary range: £55,000 - £60,000 p.a. depending on experience + benefits (including 25 days’ paid holiday a year + 8 bank holidays + Christmas closure from the end of the last working day before Christmas until the first working day of the New Year; Life Insurance; Company Sick Pay and Health Cash Plan)

Key areas of responsibility:

  • Support delivery of IPReg's emerging Data Strategy;
  • Analyse regulatory, compliance and operational data to identify trends, risks and opportunities;
  • Improve data quality, governance and reporting capabilities;
  • Develop dashboards, reports and management information for senior stakeholders and the Board;
  • Support compliance monitoring, assurance activities and thematic reviews;
  • Undertake horizon scanning and evidence gathering to inform policy development;
  • Identify and explore new internal and external data sources;
  • Translate complex analysis into clear recommendations and actionable insights.

The ideal candidate will meet the following requirements:

  • Experience analysing and interpreting data to support decision-making;
  • Experience working with data quality, reporting, governance or compliance processes;
  • Strong analytical and problem-solving skills;
  • Ability to communicate findings clearly to senior stakeholders;
  • Experience using Excel and business reporting tools;
  • Strong written communication skills and ability to produce high-quality reports;
  • Strong application of data protection and information governance principles;
  • Understanding of data issues relating to diversity, equity and inclusion, including the responsible interpretation and use of demographic and equality-related data.

Desirable knowledge and experience:

  • Experience within a regulator, public body, professional services or legal environment;
  • Knowledge of regulatory assurance, compliance monitoring and/or supervision;
  • Experience developing dashboards and performance reporting frameworks;
  • Experience supporting evaluation or impact assessment activity;
  • Familiarity with AI-enabled analytical tools and data management technologies;
  • Awareness of the Legal Services Act regulatory framework and Right-Touch Regulation principles.

Why apply? This is a rare opportunity to join a small but influential organisation where your work will have a visible impact. You'll help shape a new function, influence strategic decision-making and play a key role in building the evidence base of a modern regulator.

IPREg - Data and Evidence Analyst employer: FJWilson Talent Services

Join a leading professional body in central London as an eLearning Designer, where you'll be part of a collaborative team dedicated to advancing healthcare education. Enjoy a hybrid work model that promotes work-life balance, alongside opportunities for professional growth and development in a supportive environment. With a focus on innovation and quality, this role allows you to make a meaningful impact on the future of digital learning in the healthcare sector.

F

Contact Details:

FJWilson Talent Services Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land IPREg - Data and Evidence Analyst

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like FJWilson Talent Services!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like IPREg - Data and Evidence Analyst at FJWilson Talent Services.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like FJWilson Talent Services.

Apply Directly through Our Website

When you find a suitable opening like IPREg - Data and Evidence Analyst at FJWilson Talent Services, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace IPREg - Data and Evidence Analyst

Data Analysis
Regulatory Compliance
Data Quality Improvement
Governance Processes
Dashboard Development
Reporting Capabilities
Horizon Scanning

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at FJWilson Talent Services, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at FJWilson Talent Services. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at FJWilson Talent Services

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at FJWilson Talent Services!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.