**JOB DESCRIPTION**:Senior Analyst, Enterprise Analytics, JLL Technologies **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.