Position: Data Analyst (Qliksense)
Location: Singapore
Type of Employment: Full-Time
Compensation: -
Purpose of the Position: The Data Analyst (QlikSense) will be responsible for designing, developing, and maintaining data visualisation applications and analytical solutions to support business decision-making. The role focuses on leveraging QlikSense, SQL, and Python for data manipulation, modelling, and reporting, while ensuring data accuracy, governance, and high-quality deliverables.
Key Result Areas and Activities:
- Design, develop, and maintain interactive dashboards and analytical applications using QlikSense.
- Perform data extraction, cleansing, transformation, and manipulation using SQL and Python to support reporting and analytics requirements.
- Develop and maintain dimensional data models and datasets, applying data warehousing techniques to support scalable analytics solutions.
- Conduct data integration tasks including merging, validation, and reconciliation to ensure consistency and accuracy of reporting data.
- Collaborate with business stakeholders to gather requirements and translate them into effective data visualisation and reporting solutions.
- Perform exploratory data analysis to identify trends, anomalies, and actionable insights for business improvement.
- Apply best practices in data governance, documentation, and reporting standards, including maintaining data definitions and business rules.
- Support testing activities including system testing and validation of dashboards, ensuring reliability and performance of deliverables.
- Ensure delivery of high-quality outputs including dashboards, reports, documentation, and presentations within agreed timelines.
- Work collaboratively within teams and independently to manage multiple priorities and deliverables effectively.
Essential Skills:
- Minimum two (2) years of experience in QlikSense dashboard and application development
- Strong proficiency in SQL for data querying and transformation
- At least one (1) year of experience in Python for data manipulation
- Experience in data modelling techniques
- Experience in data cleansing, transformation, and integration
- Strong analytical and problem-solving skills
- Experience in data validation and quality assurance
- Good understanding of software testing methodologies (advantageous)
- Ability to work with large datasets and deliver insights
- Strong planning, coordination, and time management skills
Desirable Skills :
- Knowledge of security vulnerability assessment and testing practices
Qualities:
- Strong attention to detail and data accuracy
- Responsible and conscientious in delivering high-quality work
- Ability to work independently and as part of a team
- Strong stakeholder management and communication skills
- Proactive and solution-oriented mindset
