Job title: Data Analytics Lead

Job Description

Employment Type: Contract

Working Hours: Monday to Friday, 8.30am – 5.30pm (Hybrid)

Location: One North

Salary: Up to $9,000

Job Responsibilities

  • Create non-standard custom reports by integrating data from ERP and other enterprise systems using cloud-native analytics platforms, and deliver these reports to end users or downstream systems.
  • Create dashboards, reports, and visualizations to communicate insights effectively and support decision-making.
  • Work with business users and technical/data engineering teams to enhance the enterprise analytics platform, tools, and reusable assets.
  • Track, validate, and improve the performance of analytical solutions delivered.
  • Support the Product Owner by working within an Agile product team, contributing to the full product development lifecycle from conceptualization to delivery of analytics solutions.
  • Collaborate with business stakeholders to design and deliver end-to-end analytics solutions, including problem/use case formulation, data preparation, proof-of-concept, and deployment into production.
  • Provide operational support and maintenance for the data and analytics infrastructure platform.
  • Curate, develop, and deliver training sessions or workshops to build analytics knowledge and skills across the organization.
  • Perform other related duties to support departmental or organizational goals as required.

Job Requirements

  • Bachelor’s degree in Computer Science/Engineering, Information Technology, Business Analytics, Data Science, Artificial Intelligence, or related discipline; relevant technical certifications are an advantage.
  • Minimum 10 years of experience in designing and delivering advanced analytics or data science solutions to address business challenges.
  • Proficiency in SQL, R/Python, and advanced analytics and visualization tools such as Tableau and Power BI.
  • Strong familiarity with analytics and/or machine learning platforms, including how they integrate with upstream and downstream data and production systems.
  • Good to have experience with ERP and enterprise systems such as SAP S/4HANA, Ariba, SAP Analytics Cloud. 
  • Familiarity with cloud-native data and analytics platforms such as Azure Data Factory, Snowflake, Databricks.

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