1. Data Understanding & Importing:
· Collaborate with cross-functional teams to identify data requirements and improve data collection and storage processes.
· Monitor and improve data governance processes to ensure compliance with data regulations, policies, and standards.
· Design and implement data flows to ensure efficient and reliable data movement (e.g., unit and integration tests).
2. Data Cleaning & Manipulation:
· Develop and implement data management strategies and policies to ensure data accuracy, integrity, and security.
· Perform data quality assessments and implement data cleansing and enrichment processes, including:
o Verifying that data shows accurate information and is consistent across the dataset.
o correcting or removing incorrect, incomplete, or duplicate data within dataset
o Extracting and manipulating data in readiness to be uploaded to online systems.
3. Reporting & Visualization:
· Develop and maintain dashboards and reports to effectively communicate insights to stakeholders.
· Develop and validate the appropriate metrics to measure success for a given problem.
· Participate in strategic planning and decision-making related to data analytics and data management within the teams.