We are looking for an experienced and passionate Data Analyst to join the Portfolio Planning and Delivery team. The ideal candidate should be highly skilled in all aspects of data analytics, including mining, generation, and visualization. Additionally, you should be committed to transforming data into readable, goal-driven reports for continued innovation and growth. Data Analyst Job Duties Essential responsibilities include:
The Payments Market Division Data Analyst will work with Senior Portfolio Analyst and cohesively across all of Portfolios to deliver value add reporting
Assist Senior Portfolio Analyst in , not limited to:
Defining all necessary Portfolio / project data points to enable effective reporting (eg: actuals & forecast, KPI reporting)
Identifying data sources, source missing data and organize data in usable format
Identification and actioning of data quality, gaps, and issues
Analysing data to find answers to specific questions
Definition of all Portfolio / Project reporting requirements
Establishing automation of reporting using Enterprise tools eg Tableau
Continual data quality improvements
Ensuring reporting capability aligns with stakeholder’s requirements
Engagement with stakeholders across all regions to support their Portfolio Management & reporting needs
Provide insights into the Portfolio Planning and Delivery reporting
Demand & Supply Alignment
Other duties from time to time as required to support operational activities and services
Requirements and skills
Proven working experience as a Data Analyst or Business Data Analyst
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Highly skilled in using MS office specially excel
Adept at queries, report writing and presenting findings
Ability to work autonomously
Strong attention to detail
Experience in automation of reports using visualization tools eg Tableau
BS in Mathematics, Economics, Computer Science, Information Management or Statistics.
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