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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, reporting, and business intelligence, with a strong focus on developing dashboards and validating data quality. Proficient in SQL and familiar with cloud platforms and visualization tools to support operational decision-making.
Highest-signal resume keywords
Data AnalysisSQL Query WritingDashboard DevelopmentData Quality TroubleshootingCloud Data Warehousing
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 AnalysisSQLDashboard DevelopmentData ValidationData ReconciliationData MappingData TransformationRoot-Cause AnalysisBusiness IntelligenceData Metrics
Soft Skills
CollaborationDocumentationProblem-Solving
Tools & Technologies
StreamlitTableauQlikSnowflakeAWSMicrosoft AzureGoogle Cloud PlatformJiraConfluenceGit
Industry Keywords
BankingFinancial ServicesFinancial TechnologySelf-Service AnalyticsArtificial Intelligence-Assisted Reporting
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformJavaScriptSnowflakeSQLTableau
About the role
Key responsibilities & impact- Analyze, validate and deliver data products, metrics, dashboards and reporting solutions supporting business and operational decision-making
- Validate data pipelines, transformations, metrics and reporting outputs for accuracy, consistency and reliability
- Perform data reconciliation and root-cause analysis to identify, document and support resolution of data quality issues
- Collaborate with Data Engineering to understand data structures, source systems, business rules and data flows
- Design, develop and maintain dashboards, reports and scorecards using Streamlit, Tableau, Qlik or similar visualization tools
- Translate business requirements into reporting solutions, reusable datasets and data assets supporting operational needs
- Document metric definitions, data mappings, reporting logic and dashboard standards for business and technical users
- Support testing and validation of new reporting capabilities, self-service analytics features and data products
Requirements
What you’ll need- 4+ years of experience in data analysis, reporting, business intelligence or a related technical role using data to support business or operational decisions
- 4+ years of experience working with relational databases or cloud data warehouses, including Snowflake or a similar platform
- 4+ years of experience writing Structured Query Language (SQL) queries to analyze, validate and reconcile large datasets
- 4+ years of experience developing dashboards, reports or scorecards using Streamlit, Tableau, Qlik or similar visualization tools
- 4+ years of experience troubleshooting data quality issues, documenting findings and coordinating resolution with technical teams
- 4+ years of experience working with structured and semi-structured data, including JavaScript Object Notation (JSON), Extensible Markup Language (XML) or similar data formats
- Bachelor’s degree or higher in Computer Science, Information Systems, Data Management, Business Analytics or a related field or equivalent combination of education, related experience and/or military experience
- Experience with Snowflake and cloud platforms such as Amazon Web Services (AWS), Microsoft Azure or Google Cloud Platform (GCP)
- Experience supporting data, reporting or analytics initiatives in banking, financial services or financial technology environments
- Experience with Jira, Confluence, Git and Agile development practices
- Experience with artificial intelligence-assisted reporting, self-service analytics or modern data product delivery
- Must currently possess valid and unrestricted U.S. work authorization
- Candidates requiring sponsorship now or in the future will not be considered
Benefits
Comp & perks- On-site Monday through Friday
- In-person collaboration and office experiences supporting onboarding and productivity
