Data Analyst

BANKING COMPUTER SERVICES PRIVATE LIMITED; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading financial services provider in Singapore is seeking a Data Analyst to enhance decision-making and improve operational efficiency. This role involves analyzing large datasets, developing dashboards, and providing insights for strategic initiatives. The ideal candidate holds a Bachelor's degree and has at least 3 years of experience in data analytics, with strong skills in MS Excel, SQL, and data visualization tools. Certification in BI or analytics is an advantage. The position offers a dynamic work environment focused on continuous improvement.

Qualifications

• Experience working with large datasets.
• Minimum of 3 years in a data analytics or similar role.
• Success in defining KPIs and process improvements.

Responsibilities

• Analyze complex datasets to identify trends and insights.
• Develop and maintain performance dashboards.
• Collaborate on strategic resource planning.

Skills

Attention to detail

Analytical skills

Problem-solving

Proficiency in MS Excel

SQL querying

Data visualization tools

Data manipulation with Python

Communication skills

Education

Bachelor’s degree in Statistics, Mathematics, Operations Management, or Business Administration

Tools

Power BI

Tableau

ServiceNow

Job description

Team and Position Summary

The Service Hub division at BCS provides comprehensive support to BCS and participants. The division ensures seamless participant onboarding/offboarding, effective coordination of participant support, regulatory reporting, secure certificate management, timely issue resolution and service processing, as well as service excellence.

The Data Analyst, reporting to the Service Excellence Lead, plays a critical role in enabling data-driven decision-making and operational efficiency within the Service Hub division. This position focuses on analyzing large datasets, developing dashboards, and providing actionable insights to optimize processes, improve performance, and support strategic initiatives.

The individual is responsible for regulatory reporting, monitoring performance, workforce planning, process optimization and improvement initiatives to enhance the overall effectiveness of the division.

Key Responsibilities

Reporting and Metrics

• Analyze large and complex datasets in MS Excel or database to identify trends, patterns and insights
• Monitor and forecast operational volumes, ensuring timely data-driven decision-making.
• Define and refine key performance indicators for operational teams.
• Develop and maintain performance dashboards to track operational performance.
• Prepare regular and ad-hoc reports performance and reports for internal stakeholders and external stakeholders.

Projects and Continuous Improvement

• Drive automation and standardisation initiatives, for e.g., service workflow, and processes alignment in line with organizational frameworks, policies and industry practices.
• Lead initiatives to analyse, streamline, and optimise workflows.
• Be a key active contributor from Service Hub in cross-functional projects, providing data insights and operational expertise.
• Drive continuous improvement projects across the division to maximize workforce productivity, reduce operational risk and minimize costs.

Workforce and Resource Planning

• Collaborate with Service Management Lead, Service Desk Lead, and Certificate Services Support to assess workforce capacity and ensure optimal resource allocation.
• Identify operational bottlenecks and recommend resource adjustments to address upcoming workload requirements.
• Drive strategic resource planning to meet both current and future operational demands.

Requirements

Education and Experience

• Bachelor’s degree in Statistics, Mathematics, Operations Management, Business Administration, or a related field
• Experience working with large datasets
• Minimum of 3 years of experience in data analytics role, operational excellence, resource management, or a similar role, preferably within the financial or payments industry
• Demonstrated success in defining KPIs, developing dashboards, and implementing process improvement initiatives

Skills and Knowledge

• Attention to detail and a commitment to data accuracy
• Strong analytical and problem-solving skills with a data-driven mindset.
• Familiarity with statistical analysis concepts
• Proficiency in MS Excel functions, formulas and data manipulation techniques
• Proficiency in writing and executing SQL queries to extract, filter and join data from relational databases
• Experience in automation
• Knowledge of data manipulation and analysis using Python
• Ability to design and develop interactive dashboards using Excel, Power BI, Tableau or similar tools to communicate data insights
• Experience with ServiceNow workflow platform or similar
• Strong communication skills, with the ability to collaborate across teams and present findings to stakeholders.
• Knowledge of the payments industry, particularly in operational reporting and compliance.

Professional Certification

• Any certification in Microsoft Office Specialist in Excel, Business Intelligence (BI) certification, or Data Analytics will be an added advantage