Data Analyst

Dyson Operations Pte Ltd; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading technology company in Singapore is seeking an enthusiastic Data Analyst to join their dynamic IT Data Team. In this role, you will work within agile squads to deliver data products and solutions. The ideal candidate should have a degree in Computer Science and at least 4 years of experience in data analytics, with strong skills in SQL and Tableau. You'll advocate for data-driven practices and drive process improvements across teams.

Qualifications

• Minimum of 4 years of proven experience in data analytics.
• Strong analytical, problem-solving, and critical thinking skills.
• Hands-on experience with SQL, Python or PySpark.

Responsibilities

• Work in multi-disciplinary squads delivering data products and solutions.
• Support Product Managers in gathering business requirements.
• Monitor and ensure the accuracy and reliability of data used in analytics.

Skills

Analytical thinking

Problem-solving

Effective communication

Stakeholder management

Data visualization (Tableau)

SQL

Python

Data governance

Education

Degree in Computer Science or related STEM field

Tools

Tableau

SQL

Python

Jira

Confluence

Job description

Overview

Part of an energetic and dynamic IT Data Team. Delivering data with speed and at scale.

As part of the global data community, you will work within multi-disciplinary agile squads working alongside some of the best Product Managers, BI Specialists, Data Engineers and Data Scientists. IT Data is responsible for ensuring engineering excellence in the delivery of data products and solutions.

As an enthusiastic Data Analyst, you will advocate data practices through strong technical expertise. You will help internal teams transform from conventional practices to data-driven approach, while uncovering valuable insights. This role offers an excellent opportunity to gain comprehensive understanding across business functions from Subject Matter Experts, while growing within the Data Analytics space.

Responsibilities

• As a Data Analyst, you will work in multi-disciplinary squads delivering data products and solutions.
• Support Product Managers in facilitating discovery sessions and gathering business requirements.
• Document data and process flows, while identifying opportunities for improvement.
• Identify data sources and enhance data collection to reduce manual processes.
• Analyse and visualize data from various sources to support data-driven decision making.
• Monitor and ensure the accuracy, consistency, and reliability of data used in analytics and reporting.
• Writing clear user stories and acceptance criteria for product delivery.
• Identify opportunities for process automation and simplifying data flows.
• Advocate for process improvements and Agile ways of working across teams.
• Respond to data requests and provide analytical support to business teams as needed.

Qualifications

• Degree in Computer Science, Information Technology or related STEM field.
• Minimum of 4 years of proven experience in the domain of data analytics.
• Strong analytical, problem-solving, and critical thinking skills
• Effective communication and stakeholder management abilities
• Proven experience with Tableau for analytics and data visualisation.
• Hands-on experience with SQL, Python or PySpark.
• Good understanding of data modelling, data architecture, and data governance concepts.
• Experience working with cloud platforms, preferably Google.
• Familiarity with project management tools, ie Jira & Confluence.
• Knowledge in Power Platform is a significant plus but not mandatory.

Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.