Assistant Director/Senior Assistant Director (Data Analytics)

INNOVATIQ TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading tech firm in Singapore seeks an experienced Analytics Lead to manage product development for data-driven solutions. Responsibilities include supporting an Agile team, developing analytics solutions, and creating custom reports. The ideal candidate has a Bachelor's degree in a relevant field and at least 10 years of experience in analytics. Technical skills in SQL, R/Python, and visualization tools are essential, along with excellent communication skills.

Qualifications

• Minimum 10 years of experience in advanced analytics or data science solutions.
• Familiar with analytics and machine learning platforms.
• Excellent communication skills.

Responsibilities

• Support Product Owner and manage Agile product team.
• Develop end-to-end analytics solutions.
• Create custom reports using Cloud-native analytics tools.

Skills

SQL

R/Python

Advanced analytics

Visualization tools (Tableau, PowerBI)

Machine learning platforms

Cloud services (Azure, AWS, Google Cloud)

Education

Bachelor’s degree in Computer Science/Engineering, Information Technology, Business Analytics, Data Science or Artificial Intelligence

Job description

Job Responsibilities:

• Support Product Owner via management of Agile product team as lead for Data Analysts and actively support full product development process from conceptualization to delivery of solutions.
• Work with business stakeholders/users to develop end-to-end analytics solutions, from problem & use case formulation, data pipeline, proof-of-concept, to developing and deploying the solution into production.
• One of the key responsibilities is to create additional non-standard custom reports merged from data derived from our new Enterprise Resource Planning system (SAP S/4HANA, Ariba, and SAP Analytics Cloud) and other enterprise systems, via Cloud-native enterprise analytics platform tools (e.g. Azure Data Factory, Snowflake, Databricks etc.) and deliver these reports to end users (e.g. Power BI) or other systems
• Work with business users and tech/data engineering/policy teams to continue improving the enterprise analytics platform, tooling and reusable assets.
• Track, validate and improve performance of analytical solutions developed.
• Responsible for providing operational support and maintenance of the data & analytics infrastructure platform and system.
• Member of the Analytics Centre of Excellence (COE), a community where like-minded professionals come together to cross learn, acquire exposure, and contribute to the delivery of data analytics projects across A*STAR.
• Work and share with Analytics COE members & community to continue to develop advanced analytics capabilities, adoption of best-in-class techniques and practices.
• Responsible to curate, develop and conduct training sessions/workshops to equip COE members and wider organization with the necessary data analytics/science knowledge and skills.
• Any other related work to support the departmental or divisional goals as required.

Job Requirements:

• Bachelor’s degree in Computer Science/Engineering, Information Technology, Business Analytics, Data Science or Artificial Intelligence (or related) or related technical certificates.
• Minimum 10 years of experience in conceptualizing and developing advanced analytics or data science solutions to solve business problems.
• Familiar with analytics and/or machine learning platforms and how it integrates with upstream and downstream data and production systems.
• Experience of working with business users to gather/understand user requirements and working with tech/data team to improve analytics platform to resolve user pain points.
• Able to analyze business needs, articulate the solution framework including the model output, business decision and potential impact to drive the adoption of the solution.
• Excellent written, oral & inter-personal communication skills.
• Technical skills in SQL, R/Python, advanced analytics & visualization tools such as Tableau and PowerBI, ML packages and tools.
• Experience with Cloud services such as Azure, AWS and/or Google Cloud Platform will be an advantage.