About The Role

In this role, you will be responsible for building data content (data product and dashboards) for specific stakeholder portfolio, work with cross-functional teams to understand business needs, identify trends and patterns within data sets, and contribute to company-wide data initiatives.

In addition, the role will contribute to analyzing complex data sets, developing insightful dashboards, developing predictive models and providing data-driven insights to senior management through dashboards and presentations.

As part of your role, your responsibilities will be inclusive of, but not limited to the following:

• Oversee data mining, statistical analysis, and predictive modeling to identify trends and patterns in large data sets.
• Design and implement data visualizations, dashboards, and reports that effectively communicate key insights and metrics.
• Support the implementation of ETL processes, data models, and data pipelines to ensure data is clean, accurate, and available.
• Address requests and users’ stories for development of new dashboards and/or enhancing/changing existing ones in order to develop analytical tools that fully satisfy needs of all commercial stakeholders involved
• Document findings, develop executive summaries, and present recommendations to senior management. Work closely with cross- functional teams for data engineering, quality assurance, and performance analysis.
• Effectively communicate with all stakeholders’ major updates and news concerning creation of new dataset, development of new dashboards, new analytical enhancements, system fault, etc.
• Monitor industry trends and best practices to ensure the team is up to date with the latest analytical and data management techniques.
• Support the deployment of effective training programs, both face-to-face and virtual targeting the whole commercial departments aiming at upgrade analytical and technical skills of the organization.
• Work closely with the Technical Team to ensure optimal performance of the analytical platform.

Qualifications

About you

• Bachelor’s degree in economics, mathematics, statistics, computer science or related field
• 5+ years of experience in a data analysis role.
• Strong analytical skills, with experience in data mining, statistical modelling, and predictive analytics.
• Proficient in SQL, R, Python, or other programming languages.
• Advanced data visualization skills, with proficiency in tools such as Tableau, PowerBI or QlikView
• Strong written and verbal communication skills, with experience presenting to senior management