
Data Quality Project Manager – Business Analyst
Jones Lang LaSalle Americas, Inc.
full-time
Posted on:
Location Type: Remote
Location: Poland
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About the role
- 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 our Data Governance Wiki with 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.
- Candidates must have experience working in large global organizations with geographically dispersed teams and complex technical environments.
Benefits
- Health insurance
- Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data QualityData AnalysisData GovernanceData ManagementData ModelingData Quality ManagementProject ManagementData VisualizationData AnalyticsData Mining
Soft Skills
advanced communication skills