Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand, common BI title, metro location, and broad toolset drive high competition.
Core BI and SQL skills are transferable, but SAP and credit-risk experience raise domain specificity.
Requires specific BI, SAP, Big Data and advanced SQL skills, increasing shortlisting rigidity.
Job Description
Structured overview of role & requirementsAbout This Role
Manage and enhance business intelligence reporting frameworks, dashboards (Excel, Tableau, Power BI, QlikView), and automation for Cash & Credit teams across geographies.
Develop and maintain complex SQL queries; extract, transform, and load credit risk data from SAP and Big Data sources to provide actionable insights and support decision-making.
Collaborate internally to understand reporting requirements, ensure data quality, implement data visualization solutions, and support ad hoc analysis related to credit risk and finance operations.
Minimum Requirements
Bachelor’s degree or equivalent in Finance, Economics, Statistics, Computer Science, or related field.
Experience with data analysis, reporting, and visualization in O2C, credit risk, or financial services environment.
Proficiency in SAP modules (e.g., SAP BW, SAP HANA), Big Data technologies (Hadoop, Spark), and advanced SQL querying.
Familiarity with BI tools such as Tableau, Power BI, or QlikView; exposure to VBA macros and automation tools; ability to work specific shifts across time zones.
Ideal Candidate Profile
Strong technical expertise in BI reporting, data visualization, and automation within finance or credit risk contexts, notably O2C processes.
Experience working as an individual contributor collaborating internally across global teams and geographies, managing complex datasets from SAP and Big Data platforms.
Demonstrated ability to design scalable reporting solutions and improve data architecture, with familiarity in six sigma methodologies and regulatory understanding related to credit risk.