Top Data Analyst Jobs in Singapore

Lead moderately complex supply chain data projects, analyze trends, utilize digital technologies, and ensure compliance with regulatory standards.

This role involves building a centralized risk platform with advanced analytics and machine learning, conducting risk analysis, and optimizing risk strategies while collaborating with internal and external stakeholders.

The Data Analyst will analyze financial datasets, create data pipelines, engage with vendors, automate data checks, and support investment teams.

As a Staff Data Analyst at Stripe, you'll partner with teams to build data products, analyze large datasets, and deliver business insights through metrics and dashboards.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

You will analyze growth in product performance, develop analytical reports, propose experiments, monitor trends, and improve data analysis tools.

As a Data Analyst Intern, you will process and verify data integrity, provide analytics insights, design tools and dashboards, and assist with data queries using SQL.

Responsible for managing user communication channels, optimizing content strategy, and collaborating with various teams while ensuring compliance with data regulations.

Conduct data analytics for audit engagements, build dashboards, perform variance analysis, and support digital transformation efforts.

The Data Analyst will design Power BI dashboards, optimize SQL queries, manage ETL processes, and provide insights on customer behavior and campaign performance.

Seeking a Data Analyst to analyze data sets, generate reports, and support data-driven decision-making within the company.

As an Ecommerce & Data Analyst Intern, you will support decision-making through data analysis, create dashboards, and optimize machine learning models using SQL and Python.

As a Senior Data Analyst, you will optimize the routing platform, analyze geospatial data, design experiments, and build data products.

The Senior Global Business and HR Data Analyst will analyze HR data, create reports, and provide insights to improve decision-making across the organization.

Analyze OEX product teams, develop analytical reports, propose experiments, monitor product performance, and improve data analysis tools while collaborating across teams.

The Business & Data Analyst will partner with teams to analyze data, create data processing pipelines, and support analytics consulting projects, focusing on transport-related insights.

The Senior Data Analyst conducts exploratory data analysis, applies statistical methods, utilizes Python and SQL, and communicates insights to stakeholders.

Develop and optimize growth strategies and analytical systems for various departments, utilizing data insights to drive business decisions and solve issues.

Assist in data analysis, perform data validation, collaborate with teams, and create visualizations for business insights.

The Business Data Analyst will analyze data to inform business strategy, build reports and dashboards, and provide insights for decision-making.

As a Data Operations Analyst, you'll troubleshoot data discrepancies, monitor vendor SLAs, assist with client requests, and liaise with business and technology leaders. You'll also implement measures to resolve data issues and support onboarding of new datasets.

The Senior Data Analyst will develop dashboards, analyze business performance, and guide data strategy while maintaining data products and pipelines. Requires 5 years of experience.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.

As a Senior Data Analyst at Athena, you'll provide actionable insights through reports and dashboards, ensure data accuracy, and collaborate with stakeholders to support business decisions.

The Senior Data Analyst will design dashboards in Qlik Sense, build AWS data pipelines, and translate BI needs into technical solutions, while addressing data governance and quality checks.