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Job Description
Job Title: Finance Data Analyst
Location: New Orleans, LA (Hybrid)
Duration: 12 months
Job Description:
• Bachelor's degree in a relevant field, such as finance, statistics, mathematics, or computer science.
• 3+ years of experience as a data analyst, preferably in a business environment.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Proficient in data analysis tools such as SQL, Python, R, or SAS.
• Proficient in scripting in SQL and a basic understanding of reporting tools.
• Experience with data visualization tools such as Tableau, Power BI, or QlikView.
• Experience with spreadsheet software like Excel or Google Sheets.
• Excellent written and verbal communication skills with the ability to present complex data analysis results to both technical and non-technical stakeholders.
• Familiarity with geospatial data.
• Willingness to learn new applications and data structures.
Responsibilities:
• Build bridged reports between two systems of record.
• Collect, analyze, and interpret large datasets using statistical techniques and software.
• Create reports, dashboards, and visualizations to present data insights to stakeholders.
• Develop and maintain databases, warehouses, and data systems to ensure data accuracy and integrity.
• Identify trends and patterns in complex data sets and make data-driven recommendations to improve business performance.
• Pair and blend data sets using specific variables including addresses with known variation between sources.
• Collaborate with cross-functional teams to provide insights and recommendations that drive business decisions.
• Communicate complex data analysis results to both technical and non-technical stakeholders.
• Stay updated with the latest trends and technologies in data analysis and apply them to improve our data analysis practices.
• Works independently to satisfy prioritized tasks and duties.
• Self-starter who can learn and operate unfamiliar applications and tools as needed to perform duties.
Skills
- MySQL
- Power BI
- Python
- SAS
- Tableau
