Senior Data Quality Analyst

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Logo of Jones Lang LaSalle Americas, Inc.

Jones Lang LaSalle Americas, Inc.

10,000+ employees

We provide commercial real estate services for corporations and investors across the globe that save money, increase productivity and improve sustainability.

📋 Description

• Manage end-to-end projects aiming for Data Quality solutions delivery for Clients, Accounts, and Business Lines across the globe. • Identify, analyze, and solution Data Quality problems for Clients, accounts, and Business Lines cross the globe. • Gather requirements from business stakeholders and collaborate with development teams for DQ rules implementation. • Perform QA tests. • Support UAT for DQ rules and scorecards/dashboards. • Collaborate with regional and global Data Governance teams. • Facilitate Data Quality orientation and training to business and operational users. • Provide BAU support post go-live and perform day to day operational tasks related to Data Quality tools such as: Manage data quality tickets. • Collaborate with BI/Ops/Tech teams to investigate/resolve data quality issues. • Provide end user support for clarification related to Data Quality concepts, rules, scorecard, issues and remediation process. • (optional) Develop/design custom DQ reports to perform data assessment in coordination with DG teams. • Contribute to the presentation of Data Quality platform to prospective clients (internal and external). • Collaborate with global DG and DQ teams to enrich current Data Quality platform. • Participate into enriching Data Quality related documentation. • Frame communication plan, case studies and success stories in relation to various DQ initiative. • Produce accurate and relevant reports on various KPIs to reflect the team activity.

🎯 Requirements

• Must have 4+ years of experience in data domain such as Data Analysis, Data Governance, Data Management, Enterprise Information Management, Data Modeling, and Data Quality Management. • Must have 4+ years of experience in project management. • Must have advanced communication skills. • Must have 1+ year of experience in enterprise scale Data Quality projects. • Must have intermediate expertise in MS Excel, Visio, Word and PowerPoint. • Must have foundational exposure to Data Concepts, i.e. Data Visualization, Data Analytics, Data Mining, Business Intelligence, etc. • Bachelor's degree in Information Management, MIS, Library Science, or Computer Science; advanced degree preferred. • Experience in commercial real estate management or related industry is highly preferred. • Experience in Data Warehouse and Data Lake environments preferred.

🏖️ Benefits

• Health insurance • Professional development opportunities

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