Mission - Data Sustain & Quality Analyst Nestle

Key Responsibilities

1. Data Extraction & Updates

• Extract data from multiple data sources (databases, Excel files, APIs, SharePoint, manual templates, etc.).
• Refresh and update datasets based on defined schedules or business triggers.
• Perform recurring data maintenance activities to ensure timely availability of reporting inputs.

2. Data Quality & Validation

• Conduct detailed data checks to ensure accuracy, consistency, and completeness.
• Apply quality rules, thresholds, and validation logic before publishing updates.
• Identify anomalies, data gaps, and inconsistencies; escalate issues with clear root cause insights.
• Maintain data dictionaries and source mapping documentation.

3. Power BI Reporting Support

• Prepare datasets and ensure proper structuring for analytics and visualization teams.
• Coordinate and execute handover procedures for Power BI dashboards.
• Validate that dashboards reflect correct figures after every data refresh.
• Support stakeholders with basic troubleshooting related to data accuracy.

4. Documentation & Governance

• Develop and maintain documentation covering:
• Data sources
• Data refresh processes
• Data transformation logic
• System connections and access dependencies
• Ensure process documentation is always up to date and aligned with governance standards.
• Create handover packs for new dashboards, including refresh instructions and data definitions.

5. Cross Functional Collaboration

• Work closely with the Data Analytics & Reporting team on updates, timelines, and change requests.
• Coordinate with business owners to confirm requirements and data dependencies.
• Support continuous improvement by identifying opportunities to automate or streamline data processes.

Key Skills & Competencies

• Strong attention to detail and commitment to data accuracy.
• Familiarity with data extraction methods and working with multiple data sources.
• Basic to intermediate Power BI knowledge (datasets, refresh logic, data modeling understanding).
• Good documentation and process mapping abilities.
• Problem solving mindset with the ability to trace data issues to their source.
• Strong communication skills for effective handover and cross team collaboration.