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Open nowPosted yesterday

Data Analyst

MyCareersFuture91,877 open roles

Pay
SGD 8,000 – SGD 9,500 a month
Where
West, Singapore
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Your applicationOpen nowData AnalystMyCareersFuture · West, Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 4 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: posted yesterday

MyCareersFuture median: 4 days open

The posting

Role Summary

The Data Analyst is responsible for transforming data into actionable insights that support business decision-making. The role requires strong business context understanding, stakeholder engagement, analytical thinking, and data visualisation expertise to communicate insights effectively.

Key Responsibilities

Business Analysis & Insights

  • Develop a deep understanding of business processes, operational challenges, and policy objectives.
  • Partner with stakeholders to understand business needs and translate them into analytical requirements.
  • Analyse datasets to identify trends, opportunities, risks, and performance indicators.
  • Provide recommendations and insights that support data-driven decision-making.

Analytics & Data Visualisation

  • Build, enhance, and maintain dashboards for performance reporting, operational monitoring, and user behaviour analytics.
  • Design intuitive and impactful visualisations that effectively communicate complex findings to business users.
  • Apply data storytelling techniques to present insights to both technical and non-technical audiences.
  • Define and track business metrics

Data Preparation & Analysis

  • Query, clean, and analyse data using SQL, Python, and Databricks.
  • Validate and interpret data to ensure analytical outputs are accurate and meaningful.
  • Collaborate with data engineers to improve data accessibility and usability for reporting purposes.

Documentation & Knowledge Management

  • Develop user guides and business documentation for dashboards, reports, and analytical products.
  • Maintain documentation on reporting methodologies, metric definitions, and analytical standards.
  • Support agile delivery activities such as requirements gathering, user story creation, and acceptance testing.
  • Explore automation opportunities to improve reporting and analytics workflows.

Competencies & Requirements

Technical Skills

  • Proficiency in SQL and Python for data analysis.
  • Hands-on experience with dashboard and visualisation tools (e.g. Databricks, Power BI).
  • Experience using Databricks or similar analytics platforms.
  • Ability to create compelling visualisations and data stories for diverse audiences.
  • Strong documentation and report-writing capabilities.

Preferred Skills

  • Understanding of business intelligence and KPI frameworks.
  • Familiarity with Jira, QA testing, and agile delivery practices.

Soft Skills

  • Strong business acumen and ability to understand operational and policy contexts.
  • Excellent communication and stakeholder management skills.
  • Ability to translate technical findings into meaningful business insights.
  • Strong analytical mindset, curiosity, and problem-solving abilities.
  • Attention to detail and commitment to delivering high-quality outputs.
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