What are the responsibilities and job description for the SAP FICO Analyst (COPA, SQL, Snowflake) position at Staffing Technologies?
Job Title: SAP FICO Analyst
Location: Dallas, TX 75201 (Hybrid)
Job Type: Contract for 6 Months
Job Summary:
Our front office team is seeking a skilled Business Intelligence & SAP FICO Analyst to support the Margin Analysis project. The ideal candidate will have a strong background in SAP FICO, COPA, SQL, and Business Intelligence (BI) tools, with hands-on experience in financial data analysis and reporting.
Key Responsibilities:
- Assist in Margin Analysis COPA for CONA project, ensuring accurate financial reporting and insights.
- Work with SAP FICO & COPA modules to configure, analyze, and generate reports related to profitability analysis, cost centers, and general ledgers.
- Utilize SQL for advanced data querying, extraction, and manipulation.
- Develop and maintain BI dashboards using tools such as Power BI, Tableau, and Excel for data visualization.
- Leverage Snowflake for data warehousing and integration with financial systems.
- Work with S/4HANA FICO and Universal Journal Entries, ensuring accurate financial data consolidation and reporting.
- Collaborate with cross-functional teams to enhance financial analysis capabilities.
Required Skills & Experience:
Business Intelligence & Data Analysis:
- 6-10 years of experience in Business Intelligence or Financial Analysis roles, with expertise in SAP FICO and COPA.
- 6-10 years of experience in SQL, with strong data manipulation and querying capabilities.
- 3-5 years of Snowflake data warehouse experience.
- Proficiency in Power BI, Tableau, and Excel for data visualization and analytics.
SAP & Financial Expertise:
- 3-5 years of experience in S/4HANA FICO, COPA, and Universal Journal Entries, including configuration and report generation.
- Strong understanding of financial accounting principles, profitability analysis, cost centers, and general ledger structures.
If you are a BI & SAP FICO expert with a passion for financial analysis and data-driven insights, we encourage you to apply!