3 дня назад
Data Management Senior Consultant (Workforce Analytics)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Data Management Senior Consultant (Workforce Analytics) (Data Governance/BI): Ensuring the reliability and consistency of HR data products, including dashboards, reports, data marts, and semantic models, with an accent on data governance, quality controls, and standardized KPI definitions. Focus on monitoring ETL/ELT pipelines, resolving data incidents and anomalies, improving reporting consistency, and supporting stakeholders through documentation and enablement.
Location: Manila, Philippines; onsite full-time role
Company
is a global financial services company providing wealth management, asset servicing, asset management, and banking services.
What you will do
- Execute and improve data governance routines, including data quality checks, lineage updates, access reviews, metadata stewardship, and retention management.
- Maintain standardized business definitions, KPI calculations, glossary entries, and data catalog records across dashboards and reports.
- Monitor data quality, ETL/ELT pipelines, refreshes, and scheduled reporting jobs; investigate anomalies and resolve or escalate incidents.
- Provide second-line support for data product inquiries, manage tickets and SLAs, and explain data and reporting topics to users.
- Create data dictionaries, FAQs, guides, release notes, and training materials to support self-service analytics and data literacy.
- Collaborate with Data Engineering and BI teams on minor enhancements, performance tuning, reliability improvements, and capacity planning.
Requirements
- Bachelor’s degree in Information Systems, Computer Science, Statistics, Engineering, Business Analytics, or a related field, or equivalent experience.
- 5+ years of experience in data operations, BI/analytics, or data governance.
- Hands-on experience with at least one BI platform, such as Power BI, Tableau, or Looker, and intermediate SQL skills.
- Working knowledge of ETL/ELT concepts and tools, plus familiarity with data cataloging, glossary management, metadata, and lineage.
- Experience with data quality dimensions and controls, including designing or operating data quality checks.
- Strong documentation, communication, and stakeholder management skills.
Nice to have
- Experience with the Microsoft data stack, including Power BI, Azure Synapse, Fabric, ADF, or Purview.
- Knowledge of semantic models, tabular models, DAX, and measure design principles.
- Exposure to ITSM tools such as ServiceNow or JIRA and support workflows involving SLAs, priorities, and escalation.
- Familiarity with privacy and security frameworks, scripting with PowerShell or Python, and CI/CD for BI artifacts.
Culture & Benefits
- Flexible and collaborative work culture within a financially stable organization.
- Opportunities for internal mobility and access to senior leaders.
- Inclusive workplace with reasonable accommodation support throughout the employment process.
- Opportunities to contribute time and skills to community and philanthropic initiatives.
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