Job summary Senior Analyst, Enterprise Analytics, JLL Technologies. Data-driven story-telling and business process analysis. Curious problem-solver and self-starter in a fast-paced environment. Qualifications - 2-5 years of work experience in risk, audit, retail, healthcare, marketing or operations analytics. - Bachelor's degree in a quantitative field such as Statistics, Mathematics, Analytics, Econometrics or Data Science and Information Management. Advance degree preferred. - Extensive experience in descriptive, prescriptive and predictive analytics. - 2-5 years of strong programming experience with SQL, Python, R or other data mining and analysis tools. Responsibilities - Develop, execute and monitor complex insights and analytical solutions to business problems using a variety of analytical approaches and methodologies. - Analyze performance trends and identify areas of opportunity to solve a business problem. Prepare and present findings and analysis to stakeholders and ensure alignment with objectives and goals - drive faster, smarter data driven decisions. - Generate revenue or cost save opportunities through data-driven insights and proactively identify opportunities to optimize the performance and efficiency of existing processes/procedures. - Keep track of new technologies to get ahead of competition and create analytics as a competitive advantage for JLL. Proactively identify new analytics techniques to develop differentiated analytics solutions to drive results. - Monitor data / information management processes to ensure data quality and consistency in support of business initiatives. This includes acquiring new data sources and performing data discovery to understand data values and relationships. - Ensure proper escalation, prioritization and remediation of data quality issues. - Explore and utilize new data mining and data visualization tools to conduct ad-hoc analysis as required. - Mentor less experienced analysts on standards and techniques to improve their accuracy and efficiency. Skills - Effective written and verbal communication skills, including technical writing to work with multiple cross- functional teams. - Experience with data architecture, data integration/ETL and/or data warehousing deployed in a complex environment is a plus. - Experience with geospatial analysis tools, such as ArcGIS or MapIT, is a plus. - Experience with other analytics tools such as ACL, Arbutus, Qlikview, Alteryx, and Angoss is a plus. Descripción del trabajo Lorem ipsum dolor sit amet , consectetur adipiscing elit. Nullam tempor vestibulum ex, eget consequat quam pellentesque vel. Etiam congue sed elit nec elementum. Morbi diam metus, rutrum id eleifend ac, porta in lectus. Sed scelerisque a augue et ornare. Donec lacinia nisi nec odio ultricies imperdiet. Morbi a dolor dignissim, tristique enim et, semper lacus. Morbi laoreet sollicitudin justo eget eleifend. Donec felis augue, accumsan in dapibus a, mattis sed ligula. Vestibulum at aliquet erat. Curabitur rhoncus urna vitae quam suscipit , at pulvinar turpis lacinia. Mauris magna sem, dignissim finibus fermentum ac, placerat at ex. Pellentesque aliquet, lorem pulvinar mollis ornare, orci turpis fermentum urna, non ullamcorper ligula enim a ante. Duis dolor est, consectetur ut sapien lacinia, tempor condimentum purus. Obtén acceso completo Accede a todos los puestos de alto nivel y consigue el trabajo de tus sueños. Inscríbete ahora