Senior Data Science Manager

at Jones Lang LaSalle in Chicago, Illinois, United States

Job Description

Employer:                    Jones Lang LaSalle Americas, Inc.  

Job Title:                     Senior Data Science Manager

Job Requisition:         SE1034  

Job Location:              Chicago, Illinois

Job Type:                    Full Time

Duties:  Design and develop analytical solutions and actionable insights using a variety of tools and approaches; manage a team of analyst on standards and techniques to improve their accuracy and efficiency; manage complex projects and stakeholder to achieve desired results within the prescribed timeframe; analyze product performance and usage, leveraging an understanding of products and user flows; acquire new data sources and collaborate with product teams to define telemetry required to advance analytics coverage; prepare and present findings and analysis to product teams and senior leadership; monitor data management processes to ensure data quality and consistency; 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; monitor new technologies to get ahead of competition and create analytics as a competitive advantage for JLL; and identify new analytics techniques to develop differentiated analytics solutions to drive results. May telecommute.

Requirements: Master’s degree in Business, Statistics, Mathematics, Analytics, Econometrics, Data Science, Management Information Systems. or related field and three (3) of experience in the job offered or in a data analyst-related occupation.

Experience in the following:

• Analytics in an enterprise environment across multiple application systems, products, and business functions;
• Industrial scale databases using data mining tools such as SQL, Python, or R;
• CRM tools including SalesForce and Microsoft Dynamics;
• Advanced Analytics such as Microsoft Azure or Databricks;
• Developing insights and dashboards using a BI tool such as Cognos, Domo, Power BI or Tableau;
• Data architecture, data integration/ETL, and data warehousing deployed in a complex environment; and
• Team management.

Contact: Please email resume to and reference job code SE1034.

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Job Posting: 11968395

Posted On: Jun 11, 2024

Updated On: Jul 16, 2024

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