Are you a highly skilled data analyst with a passion for leveraging technology to drive strategic financial decisions? Do you have expertise in enterprise performance management systems and a strong background in financial analysis and AI? If so, we want to hear from you. We are seeking a Senior Data Analyst to join our dynamic finance team. This role is crucial for supporting our continued growth by providing advanced data analytics, system administration, and AI-driven insights across our organization.
Key Responsibilities
-
System Administration: Manage and optimize our financial performance management platforms, ensuring data integrity and seamless operation.
-
Data Analysis & Reporting: Perform in-depth financial and operational data analysis, design and develop complex system reports, and create interactive dashboards to visualize key metrics and KPIs.
-
AI & Automation: Develop and implement AI models and Python scripts for predictive analytics, financial modeling, and process automation.
-
Strategic Collaboration: Work closely with cross-functional teams in finance, accounting, operations, and leadership to align data solutions with business objectives and support operational excellence.
Required Qualifications
-
Technical Expertise: Proven experience in administering Oracle EPM platforms. Advanced proficiency in Python for data analysis (e.g., pandas, NumPy) and strong SQL skills.
-
Analytical Skills: Expertise in financial modeling and forecasting, with the ability to translate complex financial information into clear, concise summaries for executive audiences.
-
Domain Experience: 5+ years of experience in Data Analytics, Financial Planning & Analysis, or Corporate Finance, preferably within the Energy, Oil & Gas, or Industrial sectors.
-
Education: Bachelor’s degree in Data Science, Finance, Computer Science, or a related field.
If you are a proactive problem-solver with a commitment to continuous process improvement and the technical skills to drive data-driven decision-making, we encourage you to apply.