National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Analyst

e.surv Chartered Surveyors
Northamptonshire
1 week ago
Create job alert

Job Profile

Join Our Dynamic Data Team as an AVM Client Analyst!

Are you passionate about data analysis and the residential property market? We are seeking an AVM (Automated Valuation Model) Client Analyst to join our growing team. This permanent, remote role offers the opportunity to provide expert insights and consultancy on residential property to a diverse client base, including lenders, developers, investors, regulators, insurers, valuers, and property experts.

Key Responsibilities:

Manage, maintain, and analyze extensive datasets to uncover new insights. Conduct AVM analysis and prepare comprehensive reports on residential development, planning, and investment queries. Collaborate with Data Sales colleagues to produce high-quality data outputs, including presentations for FTSE 100 companies. Present AVM findings and commentary to the research team and clients, with public speaking becoming a significant aspect of the role. Actively participate in various projects and initiatives within the AVM team, demonstrating strong teamwork and adaptability. Support the Head of Data Sales and Director of Data Products in client meetings, often at C-suite level.

Key Skills:

Degree qualified with robust analytical skills and meticulous attention to detail. Proficiency in interpreting complex data and presenting conclusions clearly. Experience analyzing property/valuation data. Exceptional written and verbal communication skills. Strong IT and Microsoft Office skills, including Excel, PowerBI, Word, and PowerPoint. Familiarity with coding languages such as SQL and DAX is highly desirable. Keen interest in current affairs and the residential property market. Excellent time management skills to prioritize tasks and manage multiple projects.

Personal Attributes:

Suited to working in a professional team environment. Engaging with a variety of clients both within and outside the organization.

If you are ready to leverage your data analysis skills to assist clients in developing strategies and making informed decisions, apply now to join our innovative team!

Apply

If you feel you match our requirements and are looking for your next career challenge, or for a confidential discussion on the full details of this role please contact Alka Tarafdar on .

PRE EMPLOYMENT SCREENING - All of our employees have to pass a Criminal Records Disclosure and Credit Referencing Process in order to work with our lender clients, if you are unsure on this, ask the team and we'll be happy to explain the process.

is an equal opportunity and Disability Confident employer, dedicated to building a diverse and inclusive workplace. We welcome applications from people of all abilities and backgrounds, and we do not discriminate based on disability or individual needs. If you require any reasonable adjustments during the recruitment process, please let us know.

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst | Cambridge | Fintech

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

National AI Awards 2025

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.