Senior Data Analyst

ScienTec Consulting; Singapore; On-site; SGD 91,000 - 109,000; Full time

Job summary

ScienTec Consulting in Singapore is seeking an experienced Senior Data Analyst to drive enterprise data analytics solutions and lead a team of Data Analysts across the full product lifecycle.

You will collaborate with product owners, business stakeholders, data engineers and technology teams to identify problems, conceptualise use cases and deliver production-ready analytics solutions using cloud platforms and BI tools.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, Business Analytics, Data Science, AI or related discipline.
• At least 10 years of experience conceptualising, developing and implementing advanced analytics or data science solutions.
• 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 analytics tools such as Power BI or Tableau.
• Experience with SAP S/4HANA, SAP Ariba or SAP Analytics Cloud would be advantageous.
• Familiarity with cloud platforms like Azure, Snowflake or Databricks.

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, proofs-of-concept, 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 analytics platform 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 and deployed solutions.
• Promote adoption of advanced analytics capabilities and reusable frameworks across the organisation.
• Curate and conduct training sessions and workshops to strengthen data analytics and data science capabilities.

Skills

SQL

Python

R

Power BI

Tableau

Azure

Snowflake

Databricks

Leadership

Agile leadership

Data modelling

Education

Bachelor’s degree in Computer Science

Tools

SAP S/4HANA

SAP Ariba

SAP Analytics Cloud

Azure Data Factory

Snowflake

Databricks

Power BI

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.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.
• All applications will be processed with strict confidence.

Only shortlisted candidates will be contacted.

Wong Siew Ting (Maeve) - R25127375

ScienTec Consulting Pte Ltd - 11C5781