JOB DESCRIPTION: Senior Analyst, Enterprise Analytics, JLL Technologies JLL Technologies Enterprise Data team is a newly established central organization that oversees JLL’s data strategy. Enterprise Analytics is an internal consulting team that provides data driven expertise to various business and support functions. The Senior Analyst is an experienced role that combines data-driven story-telling and business process analysis. If you have a penchant for using data to drive insight which helps different functions within JLL frame decisions and drive action, then this is the role for you. The successful candidate is a curious problem-solver and self-starter that thrives in a fast-paced environment. Key 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. 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. - Ability to quickly understand, process and consume industrial scale databases using one of these tools. - Experience in technologies including CRM (SalesForce, Microsoft Dynamics) and/or Advanced Analytics (Microsoft Azure, Databricks) is a plus. - 2-5 years of experience developing insights and dashboards using a BI tool such as Cognos, Power BI or Tableau. - Advanced skills using Excel and PowerPoint. - 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.