Data Scientist for Business Analytics and Finance

3 weeks ago

Singapore APL LOGISTICS LTD Full time

About the Role:

We are seeking an exceptional Data Scientist to join our team at APL Logistics Ltd. as a key member in our Finance transformation mandate.

The ideal candidate will be responsible for supporting data-driven business intelligence initiatives, acting as a bridge between Finance, business units, and IT teams. You will collaborate closely with cross-functional teams to understand business requirements and design and develop data architectures for BI solutions and visualization.

Your key deliverables will include providing timely, reliable, and easy-to-use financial information and valuable insights to drive high-impact business changes and strengthen financial performance analytics.

Responsibilities:
  • Data Governance, Strategy, and Collections:
    • You will support the development and execution of finance data governance and analytics strategy and roadmap.
    • Collaborate with finance and business stakeholders to understand business logic and their analytics needs, identify data metrics, and document the requirements.
    • Translate business needs into specifications and data requirements, integrating business and financial data to establish a solid foundation for financial analysis or reporting solutions.
    • Work closely with business partners and IT to design, define, and develop end-to-end data pipelines for BI solutions: build instrumentation and define dimensional models, tables, or schemas that support business processes.
    • Contribute to the development and maintenance of databases and data pipelines, ensuring data quality and accessibility for analysis.
    • Gather data from various sources (databases, APIs, web scraping, etc.), clean it, and transform it into a usable format.
    • Design, write, and support extract, transform, and load (ETL) processes of finance and business operations data from various sources.
  • Data Analytics and Business Intelligence:
    • You will conduct 'deep dive' reviews of financial data to uncover trends and patterns, deploying different types of advanced data analytics to identify anomalies, outliers, and leakages in transactions to mitigate risks and optimize profit.
    • Align with stakeholders on key metrics, design, and propose experimentation strategies to continually raise the bar on our analytical capabilities.
    • Evaluate data accuracy by mining, cleaning, and analyzing large datasets for effective use-case development of BI and dashboard visualization solutions.
    • Interpret results using various techniques, ranging from simple data aggregation via statistical analysis to complex data mining.
    • Develop, optimize financial reporting, and enhance data automation to enable reliable self-service reports and streamline financial closing processes.
    • Use BI tools to create compelling data visualization and dashboards to generate timely, meaningful, and actionable insights driving critical business decision-making.
    • Predictive Modeling: Building models to forecast future outcomes based on historical data, utilizing machine learning techniques like regression, classification, and clustering.
    • Support projects or gathering additional data for ad-hoc analysis as needed.

Requirements and Qualifications:

  • A bachelor's degree in Finance, Accounting, Business, Mathematics, Statistics, Economics, Computer Science, or any other related discipline, or commensurate work experience or demonstrated competence.
  • Proven experience in financial data analytics, reporting automation, and Power BI tools.
  • At least 3–5 years of financial/business/data analysis experience.
  • Experience in audit or logistics industry is a plus.
  • Strong understanding of finance principles, datasets, and business processes.
  • Self-motivated, forward-thinking, result-oriented, and able to manage priorities.
  • Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity.
  • Strong analytical skills, curious, meticulous, innovative, and resourceful to resolve issues.
  • Good business acumen with the ability to synthesize complex data from different sources into meaningful insights and actionable information for stakeholders.
  • Vocal and confident to voice constructive challenges to business assumptions.
  • Good perspective in achieving results both short and long term and be held accountable.
  • Strong communications and interpersonal skills in a multicultural environment with a good command of spoken and written English to influence and motivate.
  • Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis.
  • Experience building/applying statistical and/or machine learning solutions to solve business problems and facilitate interactive data visualization.
  • Good understanding of data design pattern differences between transactional ERP systems (e.g., SAP) and analytical data warehouses (e.g., Teradata, Snowflake).
  • Proficient in data analysis tools (e.g., Excel, SQL) and BI tools (e.g., Power BI, Microsoft Fabric, Tableau).
  • Familiarity with scripting or programming languages (e.g., Python, R) for advanced analytics.

Salary Estimate:

We estimate the salary for this role to be around $80,000-$110,000 per annum, depending on the candidate's experience and qualifications.

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