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

Nominate & Attend

Senior Data Analyst, OnTheMarket - London

Agents’ Mutual Limited
London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist & Senior Data Analyst

Senior Data Scientist FE fundinfo Remote (United Kingdom)

Senior Data Scientist 3-month FTC FE fundinfo Remote (United Kingdom)

TikTok Shop - Senior Data Scientist, Operations

Senior Data Insight Analyst

Senior Marketing Data Analyst

Senior Data Analyst, OnTheMarket - London Job Description COSTAR GROUP – SENIOR DATA ANALYST, ONTHEMARKET – LONDON OVERVIEW CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. In December 2023 CoStar Group purchased OnTheMarket (OTM) with the intention of developing this established brand into the UK's number 1 Residential Property portal. Supported by the deep expertise of the CoStar Group and our Homes and Apartments teams, we will develop a world class user experience through offering the very best written content, imagery, design and functionality. The OnTheMarket product will support home buyers, sellers, and agents better than ever Learn more about OnTheMarket . ROLE DESCRIPTION As a Senior Data Analyst at OnTheMarket, your role involves analyzing and interpreting data to provide actionable insights that drive business decisions and strategies within the real estate industry. RESPONSIBILITIES Analyze large datasets using statistical methods, SQL and data visualization tools (like Tableau, Power BI, ) to uncover trends, patterns, and insights within large datasets. Develop predictive models, clustering algorithms, and segmentation strategies to support business forecasting, customer profiling, and market segmentation initiatives. Translate complex data findings into actionable insights, strategic recommendations, and data-driven solutions for senior management, executives, and key stakeholders. Collaborate with business leaders to identify opportunities, address challenges, and drive data-driven decision-making processes across departments. Create sophisticated data visualizations, interactive dashboards, and executive-level reports using advanced BI tools (such as Tableau, Power BI, Looker) to communicate key metrics, KPIs, and performance indicators effectively. Automate reporting processes, develop data pipelines, and ensure data accuracy and consistency in reporting outputs. Establish data governance frameworks, data quality standards, and best practices to ensure data integrity, compliance with regulations, and alignment with organizational goals. Implement data validation procedures and data quality monitoring to maintain high-quality datasets. Collaborate closely with cross-functional teams including data engineers, IT professionals, business analysts, marketing managers and departmental heads to understand business requirements, data needs, and project objectives. Serve as a subject matter expert (SME) on data analytics, provide guidance, mentorship, and training to junior analysts, and contribute to team development initiatives. Stay updated with industry trends, emerging technologies, and best practices in data analytics, data science, and business intelligence. Identify opportunities for process improvements, automation, and innovation in data analytics workflows, tools, and methodologies to enhance efficiency and scalability. QUALIFICATIONS Bachelor’s degree or equivalent experience. Advanced degrees or certifications (e.g., Data Science certifications, MBA) are advantageous. Significant experience in data analysis, business intelligence, or data science roles with a proven track record of delivering actionable insights and driving data-driven strategies. Hands-on experience with data analytics tools/languages such as SQL, Python and advanced knowledge of statistical analysis and data visualization techniques. Proficiency in data visualization tools such as Tableau, Power BI, Looker or similar tools to create impactful dashboards, reports, and visualizations for diverse audiences. Experience with data manipulation, querying, and modeling using SQL databases (e.g., Redshift, PostgreSQL) and familiarity with big data technologies (e.g., Hadoop, Spark) is desirable. Proficiency in query performance tuning and analysis. Experience using Google Analytics creating custom Reports / extract information from GA4. Familiarity with Geospatial queries using PostGIS or similar technologies. Hands-on experience using CI/CD to deliver high quality deliverables and how to test them using automated testing. Familiarity with functional programming (Clojure) is advantageous. Strong analytical thinking, problem-solving skills, and ability to apply statistical methods, and data science techniques to solve complex business problems. Strategic mindset with the ability to translate data insights into actionable strategies, business recommendations, and measurable outcomes. Excellent communication skills (verbal and written) to communicate complex technical concepts, present findings, and influence decision-makers at all levels of the organization. Leadership qualities to mentor junior team members, lead data-driven initiatives, and collaborate effectively in cross-functional teams. Understanding of business operations, key performance indicators (KPIs), industry trends, and competitive landscapes to align data analytics initiatives with organizational goals and objectives. Ability to identify business opportunities, risks, and challenges through data analysis and provide strategic guidance for business growth and optimization. WHAT’S IN IT FOR YOU? Working at CoStar Group means you'll enjoy a culture of collaboration and innovation that attracts the best and brightest across a broad range of disciplines. As well as having an outstanding working environment based in iconic buildings the Shard and Blue Fin or one of our key UK-wide hubs. Other perks include full private medical cover, dental cover, Life Assurance and member rewards, 28 days annual leave, a competitive pension, season ticket loans, enhanced maternity and paternity pay and much more At CoStar, we recognise the positive value of diversity and promote equality. We aim at all times to recruit the person who is most suited to the job and welcome applications from people of all backgrounds – men and women, people of all ages, sexual orientations, nationalities, religions and beliefs. However, we particularly encourage applications from women, disabled and Black, Asian and Minority Ethnic (BAME) candidates, as these groups are underrepresented throughout the commercial real estate industry LI-AD1 CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

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.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

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

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.