Business Analyst - Data and Analytics

Business Analyst - Data and Analytics

Full-Time 35000 - 45000 £ / year (est.) Home office (partial)
I

At a Glance

  • Tasks: Shape the future of data and analytics in a leading property tech company.
  • Company: iamproperty, a unique and creative team transforming the property industry.
  • Benefits: Flexible working, wellbeing allowance, birthday off, and discounts portal.
  • Other info: Remote work options and a commitment to inclusivity for all applicants.
  • Why this job: Join a diverse team and drive impactful data transformation projects.
  • Qualifications: Experience in business analysis, stakeholder management, and agile environments.

The predicted salary is between 35000 - 45000 £ per year.

We founded iamproperty to do the things no one else was doing, but we’ve grown because we have the best people. It’s our team who drive our success and help make our culture unique, creative, and filled with personality. With over half our staff working remotely, location is not an issue either. Hiring people from all over the country has enabled us to broaden our reach, further adding to our diverse mix of teammates. We currently have over 750 talented members of staff who share one vision, working together to transform the property industry and helping our Partner Agents succeed! From CRM and auction to compliance, onboarding and conveyancing, our solutions work behind the scenes to give agents choice and control. We’re already working with over 6,000 UK Estate Agency branches to accelerate their success today, with a market leading ecosystem of solutions that ensures they have everything they need to manage their business, team and clients.

What can we offer you? We’re proud to offer a benefits package that supports our team in work and life. From enhanced flexibility and working from anywhere to your birthday off, an annual wellbeing allowance and our own discounts portal:

  • Private Counselling with a weekly confidential helpline available
  • £150 Wellbeing Allowance per year
  • Working elsewhere policy (4 weeks per year)
  • Buy and sell annual leave scheme (up to 3 days per year)

What will you be doing as a Business Analyst – Data & Analytics? Join iamproperty and play a key role in shaping the future of data and analytics across one of the UK's leading property technology businesses. As a Business Analyst, you will work at the centre of our data transformation journey, partnering with stakeholders across the organisation to drive the delivery, adoption and continuous improvement of our analytics and reporting capabilities. You'll be responsible for gathering and translating business requirements, managing delivery backlogs and helping to embed modern, self-service analytics solutions that enable better decision-making across the business.

What you'll be doing:

  • Building strong relationships with stakeholders to understand business priorities, challenges and reporting requirements.
  • Leading workshops and discovery sessions to gather, refine and document business and analytics requirements.
  • Translating business needs into clear user stories, functional requirements and prioritised backlog items.
  • Managing the intake, triage and prioritisation of analytics and data platform requests.
  • Maintaining delivery roadmaps and structured backlogs aligned to business priorities and team capacity.
  • Coordinating delivery activities across multiple business and technical teams to ensure successful outcomes.
  • Supporting the migration from legacy reporting tools to modern analytics platforms, including Looker.
  • Driving adoption of data products and self-service analytics capabilities across the organisation.
  • Identifying opportunities to improve reporting processes, operational efficiency and analytics delivery practices.
  • Supporting data governance, reporting standardisation and wider data maturity initiatives.

What we're looking for:

  • Experience working as a Business Analyst, Product Owner, Delivery Co‑ordinator, Analytics Delivery professional or in a similar role within a data or analytics environment.
  • Proven experience gathering, documenting and refining business and reporting requirements for technical teams.
  • Experience managing backlogs, stakeholder requests and prioritisation processes within Agile or iterative delivery environments.
  • Strong stakeholder management and communication skills, with the ability to engage technical and non‑technical audiences.
  • Experience facilitating workshops, discovery sessions and requirements gathering activities.
  • Strong organisational and prioritisation skills, with the ability to manage multiple initiatives and changing priorities.
  • Ability to translate business problems into structured requirements and actionable delivery plans.
  • Experience coordinating cross‑functional projects involving multiple stakeholders and teams.
  • A collaborative approach and the ability to work effectively in evolving and fast‑paced environments.
  • Experience supporting reporting, analytics, digital transformation or data‑led business initiatives.
  • Experience supporting migration programmes from legacy BI or reporting platforms to modern analytics environments.
  • Exposure to modern analytics technologies such as Looker, Snowflake, dbt, Matillion or similar platforms.
  • Experience using Jira, Azure DevOps or equivalent delivery management tools.
  • Knowledge of data governance, data quality or reporting standardisation initiatives.
  • Experience working within Agile, product‑led or digital delivery environments.
  • Understanding of data warehousing concepts and modern data architectures.
  • Exposure to embedded analytics, conversational analytics or AI‑enabled reporting solutions.

Next Steps: We would love to hear from you if you are interested in this opportunity! Once you have clicked apply and submitted your application, if successful, a member of the Recruitment team will be in touch to chat more! We encourage people of all backgrounds, identities and abilities to apply. We are committed to creating an accessible and inclusive experience for all candidates —if you need any reasonable adjustments to support your application or interview process, just let us know how we can help! Thank you for the initial interest in joining iamproperty and we wish you luck moving forward in your application process!

Business Analyst - Data and Analytics employer: iamproperty & iamsold

At iamproperty, we pride ourselves on fostering a unique and creative work culture that thrives on diversity and collaboration. With a strong emphasis on employee wellbeing, we offer flexible working arrangements, generous benefits including a wellbeing allowance, and opportunities for professional growth within the dynamic property technology sector. Join us in Newcastle upon Tyne, where you can make a meaningful impact while enjoying a supportive environment that values your contributions.

I

Contact Details:

iamproperty & iamsold Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Business Analyst - Data and Analytics

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 iamproperty & iamsold!

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 Business Analyst - Data and Analytics at iamproperty & iamsold.

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 iamproperty & iamsold.

Apply Directly through Our Website

When you find a suitable opening like Business Analyst - Data and Analytics at iamproperty & iamsold, 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 Business Analyst - Data and Analytics

Business Analysis
Stakeholder Management
Requirements Gathering
Agile Methodologies
Backlog Management
Workshop Facilitation
Data Analytics

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 iamproperty & iamsold, 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 iamproperty & iamsold. 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 iamproperty & iamsold

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 iamproperty & iamsold!

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.