Senior Data Analyst

Job Description

Employment Type: Full time contract (1 year renewable with chances of conversion)
Working Hours: Monday to Thursday (8.30am - 6pm), Friday (8.30am - 5.30pm)
Working Location: One-North
Salary: Up to SGD 9,000

We are seeking an experienced Senior DData Analystto drive the development and implementation of enterprise data and analytics solutions. You will lead a team of Data Analysts and work closely with product owners, business stakeholders, data engineers and technology teams throughout the full product development lifecycle-from identifying business problems and conceptualising use cases to developing, deploying and maintaining production-ready solutions.

A key focus of this role is developing customised reports by integrating data from enterprise resource planning and other corporate systems using modern cloud-based data platforms and visualisation tools.

Key Responsibilities

• Lead and manage Data Analysts within an Agile product team, supporting the full development lifecycle from conceptualisation to production deployment.
• Partner with business stakeholders to identify operational challenges, gather requirements and translate business needs into end-to-end data and analytics solutions.
• Design and deliver solutions covering use-case formulation, data pipelines, proof-of-concepts, analytical models, reporting and production implementation.
• Develop customised reports by consolidating data from enterprise systems, including SAP S/4HANA, SAP Ariba and SAP Analytics Cloud.
• Leverage cloud-native analytics technologies such as Azure Data Factory, Snowflake and Databricks to process, transform and integrate enterprise data.
• Develop dashboards and reports using Power BI, Tableau or other data visualisation tools for business users and downstream systems.
• Collaborate with business, technology, data engineering and policy teams to enhance the enterprise analytics platform, tooling and reusable data assets.
• Track, validate and continuously improve the accuracy, performance and business impact of analytical solutions.
• Provide operational support and ongoing maintenance for data and analytics platforms, infrastructure and deployed solutions.
• Promote the adoption of advanced analytics capabilities, industry best practices and reusable frameworks across the organisation.
• Curate and conduct training sessions and workshops to strengthen data analytics and data science capabilities among users and analytics professionals.
• Perform other related responsibilities in support of departmental and organisational objectives.

Job Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Business Analytics, Data Science, Artificial Intelligence or a related discipline. Relevant professional certifications may also be considered.
• At least 10 years of experience conceptualising, developing and implementing advanced analytics or data science solutions to address business problems.
• Demonstrated experience leading Data Analysts or managing data and analytics workstreams within an Agile product environment.
• Strong experience engaging business users, gathering requirements and translating business needs into scalable technical solutions.
• Ability to articulate solution frameworks, analytical outputs, business decisions and potential impact to encourage solution adoption.
• Good understanding of analytics and machine learning platforms and their integration with upstream data sources, downstream applications and production systems.
• Hands-on proficiency in SQL and R and/or Python.
• Experience with advanced analytics, machine learning packages and data visualisation tools such as Power BI or Tableau.
• Experience with enterprise systems such as SAP S/4HANA, SAP Ariba or SAP Analytics Cloud would be advantageous.
• Familiarity with data and analytics platforms such as Azure Data Factory, Snowflake or Databricks is preferred.
• Experience with Microsoft Azure, AWS and/or Google Cloud Platform would be advantageous.

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Wong Siew Ting (Maeve) - R25127375
ScienTec Consulting Pte Ltd - 11C5781