Data & Analytics Specialist

Elliott Moss Consulting; Singapore; On-site; SGD 65,000 - 100,000; Full time

Job summary

Elliott Moss Consulting in Singapore seeks a Data & Analytics Specialist to transform data into meaningful insights and support data-driven decisions. You will use SQL, Python, and Databricks to build dashboards and ensure data quality across analytics projects.

Collaborating with business and technical stakeholders, you will develop data-driven visuals in Tableau/Power BI, document processes in Confluence, and support automation initiatives while maintaining comprehensive technical

Qualifications

• Strong proficiency in SQL and Python for data processing and automation.
• Hands-on experience with Databricks or similar data/analytics platforms.
• Experience with Tableau, Power BI, or equivalent dashboard/visualisation tools.
• Strong data analysis and data transformation capabilities.
• Experience preparing and maintaining technical documentation.
• Good understanding of data quality, validation, and reporting processes.

Responsibilities

• Query, cleanse, transform, and analyse datasets using SQL and Python on Databricks.
• Ensure data accuracy, consistency, and quality in line with government Instruction Manual (IM8) standards.
• Develop, enhance, and maintain dashboards for data monitoring, performance reporting, and user behaviour analytics.
• Work with business stakeholders to translate reporting requirements into visual insights.
• Analyse data trends and identify opportunities for process or performance improvements.

Skills

SQL

Python

Data transformation

Data quality

Analytical thinking

Communication

Tools

Databricks

Tableau

Power BI

Jira

Confluence

Git

Job description

We are looking for a Data & Analytics Specialist with strong hands-on experience in SQL, Python, Databricks, and dashboard development. The role will focus on data transformation, analytics, dashboarding, data quality, documentation, and process automation.

The successful candidate will work closely with business and technical stakeholders to transform data into meaningful insights and support data-driven decision-making.

Key Responsibilities

Data Transformation & Quality

• Query, cleanse, transform, and analyse datasets using SQL and Python on Databricks.
• Ensure data accuracy, consistency, and quality in line with government Instruction Manual (IM8) standards.
• Perform data validation and troubleshoot data quality issues across systems.
• Develop, enhance, and maintain dashboards for data monitoring, performance reporting, and user behaviour analytics.
• Work with business stakeholders to understand reporting requirements and translate them into meaningful visual insights.
• Analyse data trends and identify opportunities for process or performance improvements.

Documentation & Knowledge Management

• Prepare clear and comprehensive user guides for dashboards, reports, charts, and Databricks data workflows.
• Maintain technical documentation in Confluence, covering analytics processes, standards, workflows, and best practices.
• Ensure documentation is kept accurate and up to date.

Automation & Project Support

• Explore and prototype automation solutions to reduce repetitive and manual processes.
• Create user stories and acceptance criteria based on business requirements.
• Manage JIRA tickets, sprint tasks, and project deliverables.
• Develop and execute QA/SIT/UAT test cases where required.

Required Skills & Experience

• Strong proficiency in SQL and Python for data processing and automation.
• Hands-on experience with Databricks or similar data/analytics platforms.
• Experience with Tableau, Power BI, or equivalent dashboard/visualisation tools.
• Strong data analysis and data transformation capabilities.
• Experience preparing and maintaining technical documentation.
• Good understanding of data quality, validation, and reporting processes.

Preferred Skills

• Experience with Apache Spark / PySpark and distributed data processing.
• Exposure to SIT/UAT, system testing, or QA processes.
• Knowledge of Git or other version control systems.
• Experience working with JIRA and Confluence.
• Exposure to automation or workflow optimisation initiatives.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Strong attention to detail and commitment to data quality.
• Ability to work independently as well as collaboratively in cross-functional teams.
• Proactive approach to identifying issues and improving processes.