
Senior Business Analyst
Posted 11 hours ago

Posted 11 hours ago
This is a fully remote position, open to applicants in North Carolina.
• Evaluate elements impacting business profitability, growth, and efficiency.
• Support strategic initiatives that address identified business challenges.
• Review current practices, gather information and industry trends, and formulate specifications that bolster business initiatives.
• Design and execute process enhancements, modifications, and improvements.
• Engage in unique analytical projects and sophisticated technical reporting.
• Offer expert operational assistance by addressing inquiries and pinpointing issues.
• Manage escalated daily operational concerns.
• Provide mentorship to junior business analysts and oversee workflow.
• Act as an analytical resource for the broader organization and its business units.
• Identify business requirements through technical analysis and reporting.
• Formulate strategies that align with company and departmental objectives.
• Convey strategies through specifications, project plans, and other relevant documentation.
• Generate reports derived from data analysis, industry trends, and process capabilities.
• Recognize patterns, challenges, and opportunities for enhancement.
• Source, compile, and interpret data effectively.
• Conduct advanced data analysis and relay findings while guiding the analysis output.
• Bachelor’s degree in Business Administration, Information Systems, Computer Science, Finance, Economics, or a related field, along with six (6) years of experience in the job offered or as a Data Scientist, Data Analyst, or similar role; alternatively, a Master’s degree in one of these fields with four (4) years of experience.
• Minimum of three (3) years of experience in the banking sector.
• Proficiency in database management.
• Experience utilizing Tableau or Power BI for data visualization and trend analysis.
• Familiarity with SAS, R, and Python for advanced data mining and complex data analysis.
• Knowledge of ETL processes as well as SAS or SQL from data extraction to intricate data transformations within a relational database environment.
• Variable incentives, bonuses, benefits, and/or other awards may be included in total compensation.
• Competitive, thoughtfully designed, and high-quality benefits program.
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