Address
Form of workCOSTAR GROUP – 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 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 data from internal databases, third-party sources, APIs, and other relevant platforms ensuring data accuracy, completeness, and consistency.
Clean and preprocess data to remove duplicates, handle missing values, and standardize formats for analysis.
Analyze large datasets using statistical methods, SQL and data visualization tools (like Tableau, Power BI, ...) to uncover trends, patterns, and insights within large datasets.
Create visually appealing and informative dashboards, reports, and presentations to communicate findings to stakeholders.
Apply statistical techniques such as hypothesis testing, regression analysis, clustering, and predictive modeling to identify relationships, forecast trends, and solve business problems.
Develop and maintain predictive models to support business forecasting, customer segmentation, pricing optimization, or other analytical tasks.
Interpret data trends, anomalies, and outliers to provide actionable insights and recommendations for business improvements, marketing strategies, and operational efficiencies.
Collaborate with cross-functional teams including marketing, product development, and finance to align data analysis with business objectives.
Conduct data quality checks, validate data accuracy, and ensure data integrity throughout the data lifecycle.
Implement data governance practices and work with data engineers or IT teams to resolve data quality issues.
Perform ad-hoc analysis as requested by stakeholders, answer specific business questions, and provide data-driven solutions to support decision-making processes.
Generate regular and ad-hoc reports, KPI dashboards, and performance metrics tracking for monitoring business performance.
QUALIFICATIONS
Bachelor’s degree or equivalent experience. Advanced degrees (Master’s, PhD) are a plus.
Strong analytical thinking and problem-solving abilities to process complex datasets, analyze data trends, and derive meaningful insights.
Proficiency in statistical analysis, quantitative methods, and data modeling techniques.
Experience with data analysis tools and languages such as SQL for data querying, Python for data manipulation and analysis and Excel for data visualization and reporting.
Experience with data visualization tools like Tableau, Power BI, Looker or similar tools to create interactive dashboards and reports.
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.
Experience using Google Analytics creating custom Reports / extract information.
Understanding of database concepts, data structures, and SQL queries for data retrieval, joins, aggregations, and transformations.
Experience working with relational databases (e.g., Redshift, PostgreSQL) and familiarity with big data technologies (e.g., Hadoop, Spark) is advantageous.
Familiarity with Google Analytics and creating Reports / extract information from GA4.
Ability to understand business processes, industry trends, and key performance indicators (KPIs) to align data analysis with business goals and strategies.
Strong communication skills to translate technical findings into actionable insights for non-technical stakeholders.
Attention to detail in data analysis, ensuring accuracy in calculations, and maintaining data quality standards throughout analytical processes.
Collaborative mindset with the ability to work effectively in cross-functional teams, communicate insights clearly, and contribute to data-driven decision-making processes across departments.
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.
