Business Data Analyst SG

Summary

Business Data Analyst driving sales channel analytics, incentive scheme design, and performance reporting for a bank in Singapore using SQL, Python, R, and Tableau.

Responsibilities:

Sales Channel Analytics

  • Analyze sales performance across various channels to understand acquisition trends and identify high-impact areas.

  • Develop channel-specific dashboards and reports to monitor key metrics, such as customer acquisition costs and channel efficiency.

  • Conduct in-depth analysis to evaluate channel performance, use data insights to recommend strategies for optimizing channel utilization and boosting sales acquisitions.

Sales Incentive design and calculation

  • Develop and manage incentive schemes aligned with channel-specific sales goals and overall revenue targets.

  • Accurately calculate incentive payouts and ensure timely submission.

  • Regularly assess the effectiveness of incentive programs and recommend data-driven adjustments to maximize performance.

  • Support Sales and HR teams in all incentives related matters.

Business Analytics and Performance Reporting

  • Conduct comprehensive business performance analysis, identifying trends and insights to support decision-making.

  • Develop and maintain performance dashboards to track key metrics related to sales, revenue growth and business performance.

  • Monitor business performance against targets and generate insights to inform strategy adjustments.

  • Present analytical findings to stakeholders in a clear, visual and actionable insights.

Cross-functional Collaboration

  • Work closely with business stakeholders, including Sales and other businesses, to understand their analytical needs, provide support, and guide decision-making processes.

Stakeholder Engagement

  • Interpret data and present findings to stakeholders, making recommendations to enhance business outcome.

Innovation and Best Practices

  • Stay updated on industry trends, best practices, and regulatory changes in the banking and wealth management sectors to identify opportunities for innovation and competitive advantage.

Requirements:

Qualifications

  • Bachelor’s degree in Data Science, Data Analytics, Business Analytics, Statistics or related field; Master’s degree preferred
  • 5+ years of experience in performance tracking and business analytics. Knowledge of sales channel analytics
  • Proven expertise in analytics tools (e.g., SQL, Python, R) and visualization platforms (e.g., Tableau, Power BI)

Relevant Work Experience

  • Minimum 5 years of relevant experience in data analytics
  • Strong analytical skills and good knowledge of the banking industry, especially in Consumer Business area, covering Deposits, Wealth Management, Card, Loan
  • Ability to work collaboratively in cross-functional teams and manage multiple priorities in a dynamic environment
  • Knowledge of regulatory requirements and industry compliance standards in the banking sector is preferred
  • Excellent communication and presentation skills to effectively convey complex data insights to non-technical stakeholders

Competencies/Skills

  • Proficient in SAS, SQL, Python, R Programming and MS Excel
  • Proficient in Business Intelligence tools (Tableau)
  • Must be able to solve problem quickly and efficiently
  • Strong analytical and communication skills

See also

Data Analytics jobs by country — openings, pay and top skills →

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.

A new version of freehire is available