Additional Information
At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.
Job Description
The Data Insighting role involves creating and maintaining scalable, reliable data pipelines, studying the effectiveness of new data sources, and implementing process improvements for data gathering and processing. This role also encompasses reviewing and improving data systems, managing databases, and leading the development and implementation of ETL processes. The incumbent acts as a data expert, providing advanced analytics and data integrity support, translating analysis results into actionable insights, and building and maintaining dashboards to showcase network performance metrics.
DUTIES AND RESPONSIBILITIES:
Perform advanced data analysis using statistical techniques, data mining, and data visualization tools to uncover patterns, trends, and correlations within large datasets.
Extract actionable insights and key findings from data analysis to inform business strategies, identify growth opportunities, and address business challenges.
Develop predictive models and algorithms to forecast future trends, identify potential risks, and optimize business performance.
Communicate data insights effectively through clear and concise reports, dashboards, and presentations to stakeholders at various levels within the organization.
Collaborate with cross-functional teams to understand their data needs, provide guidance on data collection and analysis methodologies, and ensure data quality and integrity.
Stay updated with the latest industry trends, advancements in data analysis techniques, and emerging tools to enhance data insight generation capabilities and contribute to continuous improvement initiatives.
Ensure compliance with data governance policies and procedures, including data privacy regulations, data security protocols, and ethical data usage practices.
Disseminate best practices and coach key stakeholders as needed
Guides the functional teams in using the Workday dashboard or creating the offline data extracts (summarized data) to prepare in exploring the data
Provide guidance on visualization and presentation of insights
Ensures knowledge transfer of how data insighting and models were created
KPIs:
Perform advanced data analysis using statistical techniques, data mining, and data visualization tools to uncover patterns, trends, and correlations within large datasets.
Collaborate with cross-functional teams to understand their data needs, provide guidance on data collection and analysis methodologies, and ensure data quality and integrity.
Guides the functional teams in using the Workday dashboard or creating the offline data extracts (summarized data) to prepare in exploring the data
TOP 3-5 DELIVERABLES:
Perform advanced data analysis using statistical techniques, data mining, and data visualization tools to uncover patterns, trends, and correlations within large datasets.
Extract actionable insights and key findings from data analysis to inform business strategies, identify growth opportunities, and address business challenges.
Develop predictive models and algorithms to forecast future trends, identify potential risks, and optimize business performance. Communicate data insights effectively through clear and concise reports, dashboards, and presentations to stakeholders at various levels within the organization.
Globe · 22f The Globe Tower