MI Data Analyst 6 Month FTC

E.surv
Kettering
1 year ago
Applications closed

Related Jobs

View all jobs

MI & Data Analyst

MI & Data Analyst

Process & Performance Data Analyst

Clearing Middle Office Data Analyst – Mandarin Speaking

Portfolio Revenue & Debt Data Analyst

Portfolio Revenue & Debt Data Analyst

MI Data Analyst 6 - Month FTCWe’re e.surv, one of the country’s largest providers of residential property risk expertise and residential surveying services, trading since 1989.We are looking for a MI Data Analyst for a 6 month FTCThey will report to the Head of Data, but will be embedded within the property risk team, helping to provide insights, analysis, help with storytelling and creating the resulting reports and dashboards. Knowledge or understanding of the residential property within the risk management side would be a huge bonus, although not essential.The successful candidate will work closely with stakeholders within the Risk team and wider company and must therefore be an excellent communicator able to interpret requests into visualisations as well as being an adept storyteller.This post will involve identifying and defining data analysis needs. Using stakeholder techniques to assimilate property data and functionality needs, the post holder will have to understand and translate business needs into data models supporting long-term solutions.Key responsibilities:Data Analysis:Utilise your expertise in SQL, Excel and PowerBI to extract, clean, manipulate, and analyse data from various sources to identify patterns, trends, and actionable insights related to Risk and Governance in the residential property space.While SQL, Excel and PowerBI are essential, proficiency in Python would be valuable.Communication and Presentation:Effectively communicate complex data findings, and insights to all levels of the organisation, including executives, stakeholders, and team members. Your ability to present technical information in a clear and concise manner will be crucial.Stakeholder management: * Identify stakeholders, understanding their roles, responsibilities, and assess their needs/interests in the project. * Gather information about what the stakeholders need from the project, in a way that is clear, concise, and actionable. * Manage stakeholder expectations: This involves keeping stakeholders informed about the project's progress, and addressing any concerns or issues that they may have.Data Governance:Ensure compliance with data governance policies and best practices to maintain data accuracy, integrity, and confidentiality throughout all data-related processes.Process Improvement: Continuously seek opportunities to enhance data analysis processes and reporting methodologies, promoting efficiency and accuracy.Qualifications and Requirements: * Educated to a degree level. * Strong understanding of SQL, Excel & PowerBI for data manipulation and analysis. Proficiency in Python is considered a bonus. * Strong presentation and communication skills to convey complex technical information to a non-technical audience. * Proven ability to work in a team environment and collaborate effectively across departments. * High attention to detail and ability to work with large datasets. * Knowledge of the UK residential property market or a willingness to learn on the job.ApplyIf 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 on (phone number removed).LSL Property Services are dedicated to protecting your data – our Recruitment Privacy Notice can be viewed HEREOur team are also available out of hours on (phone number removed).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

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 Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.