Senior Data Analyst

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!