Data Analyst (Databricks)

ITCAN PTE. LIMITED; Singapore; On-site; SGD 60,000 - 84,000; Full time

Job summary

ITCAN PTE. LIMITED in Singapore is seeking a Data Analyst to transform data into actionable insights that support business decisions. You will work with SQL, Python, and Databricks to prepare data, build dashboards, and communicate findings to stakeholders.

The role emphasizes data storytelling, KPI definition, and collaboration with data engineers and product teams. You will create user guides and contribute to agile delivery with requirements, user stories, and testing.

Qualifications

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

Responsibilities

• Develop understanding of business processes and translate needs into analytical requirements.
• Analyse datasets to identify trends, opportunities, risks, and KPIs.
• Build and maintain dashboards for performance reporting, operational monitoring, and user analytics.
• Design intuitive visualisations to communicate findings to business users.
• Document reporting methodologies, metric definitions, and analytics standards.
• Support agile delivery with requirements gathering and user story creation.
• Explore automation to improve reporting workflows.

Skills

SQL

Python

Data storytelling

Documentation

Dashboard design

Tools

Databricks

Power BI

Job description

Role Summary

The Data Analyst is responsible for transforming data intoactionable insights that support business decision-making. The role requiresstrong business context understanding, stakeholder engagement, analyticalthinking, 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.