Data Scientist

Experience: 5 to 8 Years

Must Have Skills - Python, SAP ERP, Power BI, QlikView, SQL, Stakeholder Management

Finance Analyst Role

• Plan and execute analytics and business intelligence projects to provide insights on Global Finance risk & control environment and enable decisions on the adequacy of the business control framework

• Deliver cost effective, timely, high-quality reporting and analytics across complex compliance/risk organization while complying with legal ethical standards

• Perform data analytics on data retrieves obtained from the ERP systems and build out standard reports that can then be used for continuous risk & control monitoring

• Develop relationships with ERP teams (CERPS), Ethics, Audit to ensure successful data mining and analytics activities are conducted regularly

• Proactively engage Process Operations teams / Global Process Owners to identify opportunities to leverage technology and analytics in connection with driving simplification and efficiency across processes

• Engage in various special projects requiring data analytics and risk assessment skills e.g. Root Cause Analysis (RCA)

• Participate in cross-functional and matrixed projects to reduce risk and/or implement new or enhanced controls related to key processes or system

Also these skills:

• Bachelor’s Degree required in Information Systems, Engineering, Mathematics, Statistics or other applicable degree & further education qualification in IT/Data analytics or Finance (CA, ACCA, CIMA, CFA, FRM)

• Minimum of 5 years’ experience in delivering and embedding pragmatic analytics, commensurate with the level of risk in the underlying business operations • Working experience with a range of data tools such as Python, SQL, Power BI, Qlik, Microsoft Azure platform

• Understanding of SAP ERP systems is essential

• Understanding of the implications on data analysis related to complex end-to-end business processes comprised of multiple systems and manual interventions (P2P, O2C, R2R, tax & statutory reporting processes)

• Familiarity with BI/DW concepts, data modelling, entity relationship diagrams

• Demonstrated proficiency in developing KPIs and visual controls

• Experience in large, complex data analytics or intelligence programs and Big Data Advanced Analytics and Machine Learning experience is a plus