Senior Data Analyst

Careers; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Careers in Singapore seeks a skilled Data Analytics professional to analyze complex datasets, build dashboards, and deliver data-driven recommendations. You will work with multiple data sources, clean and transform data, and collaborate with stakeholders to drive business insights.

The role requires 3–5 years of BI experience, proficiency in SQL and Python or R, and expertise in Tableau or Power BI to create impactful visualizations.

Qualifications

• Degree in Data Analytics, BI, or equivalent.
• 3–5 years of data analysis or BI experience.
• Strong command of SQL and Python or R for analysis and automation.
• Experience with Tableau or Power BI for dashboards.
• Understanding of statistics and analytic techniques.
• Data cleaning, transformation, and ETL experience.
• Familiarity with data warehouses (Snowflake, BigQuery, Redshift).
• Ability to translate data into actionable business recommendations.

Responsibilities

• Analyze complex datasets to generate meaningful insights.
• Extract, clean, and transform data from multiple sources.
• Apply statistical analysis to identify trends and opportunities.
• Translate findings into actionable recommendations for business strategy.
• Develop and manage dashboards, reports, and data solutions.
• Design interactive dashboards using Tableau or Power BI.
• Create automated reports to track KPIs.
• Ensure data accuracy and accessibility across systems.
• Collaborate with stakeholders to gather requirements and define data-driven solutions.
• Communicate insights to technical and non-technical audiences.
• Mentor junior analysts and guide analytics best practices.
• Lead cross-functional analytics initiatives.

Skills

SQL

Python

R

Tableau

Power BI

ETL

Data visualization

Snowflake

BigQuery

Redshift

Stakeholder mgmt

Education

Degree in Data Analytics

Tools

Snowflake

BigQuery

Redshift

Job description

Responsibilities

• Analyzes complex datasets to generate meaningful and actionable insights.
• Extracts, cleans, and transforms large datasets from multiple internal and external sources.
• Applies statistical analysis and data modeling techniques to identify trends, patterns, and improvement opportunities.
• Translates analytical findings into actionable recommendations to enhance business strategy and performance.
• Develops and manages Digital Control Tower dashboards, reports, and data solutions.
• Designs and builds interactive dashboards and visualizations using tools such as Tableau or Power BI.
• Creates and maintains automated reports to track and monitor key performance indicators (KPIs).
• Ensures data accuracy, consistency, and accessibility across all reporting and analytics systems.
• Collaborates closely with business stakeholders to gather requirements and define data‑driven solutions.
• Communicates insights effectively to both technical and non‑technical audiences.
• Mentors junior analysts and provides guidance on analytics best practices.
• Leads or contributes to cross‑functional analytics initiatives and projects.

Requirements

• Holds a Degree in Data Analytics, Business Intelligence, or an equivalent qualification.
• Minimum 3--5 years of experience in data analysis or business intelligence.
• Strong proficiency in SQL and Python or R for data analysis and automation.
• Experience with data visualization tools such as Tableau or Power BI.
• Solid understanding of statistical analysis and analytical techniques.
• Experience in data cleaning, transformation, and ETL processes.
• Familiarity with databases and data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Ability to work with complex datasets and generate actionable insights.
• Strong business acumen with the ability to translate data into practical business recommendations.
• Good communication and stakeholder management skills.
• Strong problem‑solving and critical thinking abilities.

Location:

Pioneer Yard

50 Gul Road, Singapore 629351

(Islandwide transport provided)

Working Hours:

Monday -- Thursday: 8:00am -- 5.15pm

Friday: 8:00am -- 4.30pm

We regret that only shortlisted candidates will be notified.