The role involves using Python/R or other tools to generate monthly draft billing statements and process source inputs, while facilitating discussions with stakeholders to translate business challenges into data science projects.
Responsibilities
- To use Python/R or other tools to generate Monthly draft billing statement (overall and by agencies) based on source inputs and business rules.
- To use Python/R or other tools to process source inputs and business rules and visualise on PowerBI Monthly contact center reports for vendor performance as well as provide scorecard to ServiceSG agencies.
- The above work shall be done on Government issued laptops.
- Facilitate discussions with stakeholders to understand their business challenges, sharpen the business use cases and translate them into data science projects.
- Perform data cleaning, pre-processing, feature engineering, and build data science models to address the use case.
- Identify data quality issues from source inputs and propose changes that can help to reduce these occurrences.
- Present findings, solicit feedback and prioritise refinements to the analysis in close iteration with stakeholders while managing overall project timeline.
- Communicate the data insights in a clear and compelling narrative, supported with impactful visuals, to influence key decision makers.
- Depending on the use case, design of dashboards and interactive visualisations as tools for data exploration and storytelling may be expected.
Qualifications
- Experience in model deployment.
- Experience in stakeholder management.
- Experience in agile project management.
Required Skills
- Capable of translating business use cases into analytical problems, and identifying appropriate data sources to tackle these problems.
- Proficient in writing scripts in R/Python for data preparation and analysis, using modern analysis tools & programming methodologies.
- Proficient cleaning, imputing and correcting anomalies in the collected structured or unstructured data to ensure a high standard of quality in data sets to be used in the analysis work.
- Proficient in exploring and analysing datasets, applying probability and statistical methodologies and techniques to discover insights from the data.
- Proficient in building machine learning models to identify, recognise patterns and make predictions.
- Proficient in design principles and use of visualisations to best convey the intended information.
- Capable of developing data visualisation from standalone graphs and charts on to highly customised tools and apps while tightly integrated to the data systems for real time visualisation of information.
- Capable of translating results from analysis work into actionable recommendations for stakeholders.
- Capable of communicating results from analysis work in a coherent data story for stakeholders.
Preferred Skills
- Experience in model deployment.
- Experience in stakeholder management.
- Experience in agile project management.