Job Description

Overall Job Responsibilities Involvement in various digital transformation initiatives such as Robotic Process Automation and Data Analytics projects in Finance departments. Process Automation * Engage internal stakeholders regularly in determinin Overall Job Responsibilities Involvement in various digital transformation initiatives such as Robotic Process Automation and Data Analytics projects in Finance departments. Process Automation Engage internal stakeholders regularly in determining process automation opportunities, scopes, and goals. Plan, execute, and deliver automation project according to milestones while satisfying time, cost, and resources constraints using Agile approach. Plan and execute user acceptance tests (UAT) and end-user training. Create comprehensive documentation such as user guides and quality assurance guidelines. Provide post-implementation troubleshooting support on the deliverables to ensure minimal downtime. Share basic automation knowledge and troubleshooting techniques with finance users to cultivate citizen developers. Data Analytics Engage internal stakeholders regularly to identify opportunities - understand, shape, agree and suggest scalable data analytics solutions on their business pain points. Incorporate descriptive, diagnostic, predictive and prescriptive analytics mindset into various finance functions, Analyse extensive data from various systems to identify red flags, improve business efficiency and performance within departmental and professional standards. Work with large and complex datasets using RWS data analytics platform and open-source data analytics tools. Create insightful dashboards, visualization and reporting for presentation to the management. Explore and apply statistical modelling and machine learning techniques to define and build data analytics models that support organizational objectives. Review and create written documentation, process flowcharts, logs, and commented clean code to produce datasets that used in analytics. Requirements Degree in IT, Computer Science or any equivalent discipline, preferably with accounting/finance qualifications and with coding skills. Minimum of 3 years experience in coding, machine learning programming, and data analytics in a large organization. Proficient with prior working experience in Python, SQL, and (or) RPA coding skills. Experience with designing dashboards using Tableau, Power BI, or similar data analytics software will have advantages. Dedicated, self-motivated, independent, able to multi-task and meet tight timelines. Strong interpersonal skills and proactive team player to refine and deliver automation/data analytics projects. Positive working attitude and ability to work in a dynamic and fast-paced environment. Effective project management and communication skills to complete assigned projects.