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Metrics & Reporting Analyst
Bank of America. Analyze and interpret large datasets to identify revenue-generation opportunities and develop risk-management strategies .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in Data Analytics with a strong focus on Python, SQL, and Tableau for analyzing large datasets and generating actionable insights. Proficient in applying machine learning and statistical analysis to drive business optimization and risk management.
Highest-signal resume keywords
Data Analytics ExperiencePython ProgrammingSQL ProficiencyTableau VisualizationMachine Learning Application
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisStatistical AnalysisTrend IdentificationPattern RecognitionData NormalizationRisk ManagementBusiness AnalyticsTechnical DocumentationData VisualizationData Science
Soft Skills
CollaborationCommunicationAdaptabilityProblem SolvingStakeholder Engagement
Tools & Technologies
Microsoft ExcelMicrosoft PowerBIAtlassian JiraAgile Practices
Industry Keywords
Revenue GenerationRisk MitigationData GatheringOptimization InsightsArtificial Intelligence
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Analyze and interpret large datasets to identify revenue-generation opportunities and develop risk-management strategies
- Collaborate with stakeholders to understand business problems and devise solutions using data-gathering and analysis techniques
- Collect, normalize, and publish key engineering metrics for senior management
- Mature reporting from current-state measurement to optimization insights
- Perform business analytics, trend identification, and pattern recognition using machine learning, text mining, and statistical analysis
- Apply agile practices to project management, solution development, deployment, and maintenance
- Create and maintain technical documentation for analytical solutions and production implementation
- Manage quantitative models, data science products, data analysis reports, and data visualizations
- Present technical concepts and analysis results to internal stakeholders
- Identify potential issues and develop controls to mitigate risk
- Research advances in data science and artificial intelligence
Requirements
What you’ll need- 8+ years’ experience in Data Analytics
- Python, Tableau, and SQL skills
- Ability to analyze and normalize large datasets for executive management
- Ability to use data to market, optimize, and communicate organizational value
- Ability to align diverse points of view around a single message
- Willingness to learn and adapt new processes and technologies
- Knowledge of AI in relation to data analysis
- Experience using Microsoft Excel, Microsoft PowerBI, and Atlassian Jira (desired)
Benefits
Comp & perks- Inclusive workplace and culture of caring
- Opportunities to learn, grow, and build a career
- Support for physical, emotional, and financial wellness
- Affordable, competitive, and flexible benefits
- Annual discretionary incentive award eligibility
- Paid time off
- Resources and support to make an impact