Job Description

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.
* Coordinate tasks with cross functional teams on projects and initiatives.
* 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.
* 2-5 years of experience working on large projects with 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.

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Required Skills:

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Advanced Analytics, Dashboard Reporting, Data Science, Data Strategy, Data Visualization, Microsoft Office, Predictive Analytics, Python, R Code, Structured Query Language (SQL), Structured Query Language (SQL) Development

Optional Skills:

Data Architecture, Data Warehouse Architecture, ETL Design, ETL Processing, ETL Tools, Microsoft Power BI, Tableau

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