
Senior Data Professional
1 week ago
Data Expert
As a key member of our data team, you will be responsible for managing large-scale databases, developing strategic reports, and troubleshooting complex data issues.
Responsibilities:
- Data Architecture: Design and implement data storage structures to ensure data accuracy and consistency.
- User Access Control: Manage user roles and permissions to maintain data security.
- Quality Assurance: Ensure the quality of imported data and collaborate with quality assurance analysts if needed.
- Data Provisioning: Commission and decommission data sets as required.
- Confidential Data Handling: Handle confidential data in accordance with guidelines.
- Report Development: Assist in developing reports and analyses to inform business decisions.
- Reporting Environment Setup: Design and manage the reporting environment, including data sources, security, and metadata.
- Data Warehouse Support: Support the data warehouse in identifying and revising reporting requirements.
- Data Integrity Initiatives: Support initiatives for data integrity and normalization.
- Software Evaluation: Evaluate tests and implement new or upgraded software, and assist with strategic decisions on new systems.
- Report Generation: Generate reports from single or multiple systems.
- Reporting Database Troubleshooting: Troubleshoot the reporting database environment and reports.
- Change Impact Analysis: Analyze changes and updates to source production systems.
- User Training: Train end-users on new reports and dashboards.
- Data Knowledge Transfer: Provide technical expertise in data mining, data cleansing, and data analysis techniques.
Requirements:
- Bachelor's degree in computer science or a related field from an accredited university or college.
- Work experience as a Data Analyst or Business Analyst or in a related field.
- Ability to work with stakeholders to assess potential risks.
- Ability to analyze existing tools and databases and provide software solution recommendations.
- Ability to translate business requirements into nontechnical terms.
- High-level experience in methodologies and processes for managing large-scale databases.
- Demonstrated experience in handling large data sets and relational databases.
- Understanding of addressing and metadata standards.
- High-level written and verbal communication skills.
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