Analyst position in Revenue Management Strategy at Greystar managing real estate services and supporting revenue optimization. Collaborate with team members and property managers for effective service delivery.
About the role
- Senior Data Quality Analyst responsible for ensuring accuracy and consistency of business data in a global organization. Collaborating with technical and business teams to implement data quality frameworks and standards.
Responsibilities
- Lead and execute data quality initiatives across assigned business areas, ensuring alignment with organizational goals and data governance standards.
- Analyze and monitor data quality by profiling datasets, identifying anomalies, and implementing remediation strategies.
- Develop and maintain Key Performance Indicators (KPIs) to track and report on data quality performance.
- Create and execute action plans to resolve data quality issues and strengthen overall governance frameworks.
- Define, maintain, and improve data quality rules in collaboration with IT, business owners, and data stewards.
- Identify, evaluate, and mitigate data quality risks, escalating critical issues when required.
- Support the Data Governance Council by providing insights, reporting, and recommendations for process improvements.
- Partner with business and IT teams to promote consistent data management practices and standards.
- Guide and coach business teams in effective data collection, validation, and integration processes.
- Perform detailed data and systems analysis to support governance and transformation initiatives.
- Prepare and present findings, reports, and dashboards to stakeholders and senior leadership.
Requirements
- Bachelor’s or university degree in Statistics, Information Systems, or a related field (or equivalent experience)
- Proven experience in data quality management, data governance, or data analytics in a complex or global organization
- Experience with Tableau or Power BI — ability to design, build, and interpret dashboards and data visualizations is essential
- Working knowledge of SQL and Snowflake is a plus
- Hands-on experience with data profiling, cleansing, validation, and metadata management tools
- Ability to define and monitor KPIs and apply scalable standards for long-term data integrity
- Excellent analytical and problem-solving skills with a strategic and detail-oriented mindset
- Strong communication and stakeholder management skills, with the ability to translate technical concepts for non-technical audiences
Benefits
- Opportunities for career progression
- Professional development
- Global collaboration
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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