Finance Analyst wanted at Johnson&Johnson – Singapore

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johnson and johnson logo Singapore
johnson and johnson logo Singapore

Finance Analyst – Advanced AnalyticsLocations: Singapore, Singapore Functions: Planning & Analysis
Job Description
Requisition ID: 1805678461W
 
The scope of this role is to lead and support the Financial Planning and Analytics (FP&A) team with insights gained from analyzing financial and non-financial data. The role is accountable for designing and delivering predictive analytics models by using large data sets and to find opportunities for improvement in business planning process.

This role will involve data mining, data analysis, data visualization, building and implementing predictive models using open sources or self-service data science and Machine Learning platforms and provide meaningful insights to BSCoE and Business Finance.
 
This role will be the primary contact for data science work in financial planning and analytics and will report under the Systems and Data Analytics Lead.

The scope of this role will involve working with wide range of stakeholders, like the Business Analyst, Finance Directors and Technology teams.

Responsibilities
Research and implement statistical and ML models for predictive analysis
Mine and analyze data from big data platforms to drive optimization and improvement
Assess the effectiveness and accuracy of data sources and data gathering techniques
Develop A/B testing framework and test model quality
Develop processes and tools to monitor and analyze model performance and data accuracy
Collaborate with Business Analytics, Systems teams and Finance Directors
Communicate results and ideas to key decision makers
Keep up-to-date with latest technology trends in the space of data analytics and data science

Qualifications
5 to 8 years of relevant experience and a Bachelors/Master’s in Statistics, Mathematics, Computer Science, Finance or ACCA/CA/CPA/CMA
Experience using statistical computer languages (R, Python etc.) to manipulate data and draw insights from large data sets
Knowledge of Hive, SQL etc
Knowledge of ETL tools like Informatica, Talend etc
Experience is using variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
Experience in advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)
Ability to lead and inspire individuals, foster teamwork and drive for common goals and achievements
Drive to learn and master new technologies and technique
Experience with work prioritization and deadline changes
Good knowledge around risk management, compliance adherence and commitments
Good business process and financial processes knowledge, experience working across multiple levels of business stakeholders, creating context around key business drivers and strategic plan
Good written and oral communication skills