reporting & data analytics

analytics, and insights to improve financial reporting, compliance, and operational efficiency.   Providing Strategic, Analytic & Reporting support to Global Service Centers and Payables across regions.
 MIS reporting for Accounts Payable processes including vendor payments, ageing analysis, GR/IR and
payment forecast reports and compliance metrics.
 Develop and deploy automated dashboards and reports using Power BI and SQL for internal stakeholders
and auditors to bring some clarity to complex AP data.
 Automate finance workflows using Power Automate and Excel VBA/Macros—think reconciliation,
reminders, and reporting. Explore opportunities to automate manual processes.
 Leverage SAP FICO for reporting, audit trails, and transaction analysis. Identify, analyze, and interpret
trends or patterns in complex data sets. Transform data using Python and SQL for reporting.
 Manage data pipelines through Azure Data Services, integrating inputs from SAP, Excel, and cloud
databases.
 Use Python for automation: bulk file processing, vendor statement reconciliation, and email/report
workflows automation.
 Competent in Analysis & Judgment, Customer Relationship Management, BI tools & Microsoft Suite. Should
have sufficient Procure to Pay knowledge.
 Partner with Procurement, Supply Chain, IT, and Treasury teams to ensure data consistency and reporting
alignment.
 Manage, coach and develop team members
 Explore and implement continuous improvement with an owner’s mindset.
 Accountable for managing the Supplier Payments database for entire organization and provide Strategic,
Analytic & Reporting support to Global Service Centers and P2P across regions.   To Grow What Matters, You Will Need:
 Bachelor’s or master’s degree in finance, Accounting, or a related field.
 6–10 years of relevant experience in Finance MIS or PTP analytic roles.
 Strong working knowledge of SAP FICO – especially AP-related T-codes and tables.
 Knowledge of ERP system, statistics and experience using statistical packages for analyzing large
datasets (Excel, SPSS, SAS etc.) is preferable Technical Skills:
 Strong Knowledge on reporting packages [Business objects]
 Advanced Excel with hands-on experience in VBA/macros.
 Proficiency in Power BI, Power Automate, and Power Apps.
 Strong SQL scripting and experience in working with relational databases.
 Exposure to Microsoft Azure (Data Factory, Synapse, or Logic Apps) is highly desirable.
 Experience in data modeling, cleansing, and performance tuning for large datasets.
 Python for data analysis and automation (e.g., pandas, matplotlib, openpyxl) Soft Skills:
 Strong analytical mindset and attention to detail.
 Effective communication and ability to collaborate with cross-functional teams.
 Proactive problem-solver with a process improvement orientation.
 Ability to manage deadlines and prioritize in a fast-paced environment

experience

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