Oversee systems design and integration including data cleansing, ingestion, transformation, modeling, and visualization workflows to improve decision-making and operational efficiency.

Manage implementation and deployment of enterprise applications, including configuration, customization, integration with other systems, and solution validation in partnership with cross-functional teams.

Develop and deliver training programs and documentation to facilitate user adoption, operational continuity, and compliance with established processes.

Apply statistical, analytical, and optimization methods to enhance performance and achieve business objectives.

Apply statistical, analytical, and optimization methods to enhance performance and achieve business objectives.

Leverage business intelligence and analytics tools (e.g., SQL, Tableau, Power BI, R, Python) to design dashboards, produce predictive analytics, and support data-driven decision-making.

Participate in all phases of the Software Development Life Cycle (SDLC) with a focus on architecture, design, implementation, testing, and deployment.

Implement or develop enterprise applications or digital solutions.

Education:

Bachelor’s degree in engineering, Computer Science, Information Systems, Information Technology, Business Analytics, Data Science, Software Engineering, Supply Chain, or a closely related field.

Experience:

• Six (6) months of relevant experience which must include:
  • Data analysis, cleansing, and modeling using tools such as SQL, R, or Python.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing.
  • Business intelligence and data visualization using Tableau or Power BI.
  • Working within the Software Development Life Cycle (SDLC).

Strong communication and problem-solving skills, ability to work independently, and experience presenting technical solutions to clients and stakeholders.