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About CoStar Group
CoStar Group is a leading provider of commercial real estate information, analytics, and online marketplaces. We empower clients with data-driven insights to make informed decisions across the entire real estate lifecycle.
Responsibilities- Dive deep into large datasets using statistical methods, SQL, and data visualization tools (like Tableau, Power BI, etc.) to uncover trends, patterns, and valuable insights.
- 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 closely 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 effectively communicate key metrics, KPIs, and performance indicators.
- 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.
- Work 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.
- 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 business impact.
- Strong analytical and problem-solving skills with the ability to interpret complex data and draw meaningful conclusions.
- Proficiency in SQL, Python, R, or other relevant programming languages.
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Excellent communication and presentation skills with the ability to effectively convey technical information to both technical and non-technical audiences.
