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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing interactive dashboards and reports using Amazon QuickSight and Microsoft Power BI, alongside strong SQL proficiency for data extraction and analysis. Capable of automating reporting processes and mentoring users on BI best practices to enhance data literacy.
Highest-signal resume keywords
Amazon QuickSight Dashboard DevelopmentMicrosoft Power BI Dashboard DevelopmentSQL Query OptimizationPython for Data AnalysisData Visualization Principles
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonData AnalysisETL ConceptsData ModelingDashboard DevelopmentData ValidationData ReconciliationPerformance TuningAutomated Reporting
Soft Skills
Strong Communication SkillsCollaborationMentoringProblem SolvingBusiness Stakeholder Engagement
Tools & Technologies
Amazon RedshiftAlteryxAWS Analytics ServicesGitCI/CD
Industry Keywords
Business IntelligenceData AnalyticsFinancial ServicesWealth ManagementBanking
Tech Stack
Tools & technologiesAmazon RedshiftAWSCloudETLNumpyPandasPythonSQL
About the role
Key responsibilities & impact- Design, develop, and maintain interactive dashboards and reports using Amazon QuickSight and Microsoft Power BI
- Develop efficient and scalable SQL queries to extract, transform, and analyze data from Amazon Redshift and other enterprise data sources
- Build automated reporting and analytics solutions using Python, SQL, and cloud-based technologies
- Perform exploratory data analysis to identify trends, business drivers, risks, and opportunities
- Partner with business stakeholders to gather reporting requirements and translate them into impactful BI solutions
- Optimize existing dashboards and reporting processes for improved performance, scalability, and user experience
- Develop reusable datasets, semantic models, and reporting standards to promote self-service analytics
- Support data validation, reconciliation, and quality assurance activities to ensure reporting accuracy
- Automate manual reporting processes to improve operational efficiency and reduce turnaround time
- Mentor business users on BI best practices and promote data literacy across the organization
- Collaborate with data engineering teams on data modeling, ETL enhancements, and reporting architecture
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Information Systems, Statistics, Mathematics, Engineering, Business Analytics, Finance, or a related quantitative discipline
- 2–6 years of experience in Business Intelligence, Data Analytics, Reporting, or Data Engineering
- Hands-on experience developing dashboards using Amazon QuickSight and/or Microsoft Power BI
- Strong experience writing complex SQL queries and working with large datasets in Amazon Redshift or similar cloud data warehouse platforms
- Experience using Python for data analysis, automation, reporting, or ETL processes
- Experience working with relational and dimensional data models
- Experience integrating data from multiple enterprise systems and APIs is preferred
- Strong proficiency in SQL, including query optimization and performance tuning
- Hands-on experience with Amazon Redshift
- Strong expertise in Amazon QuickSight and Microsoft Power BI, including dashboard development, data modeling, calculated fields, DAX (Power BI), and visual best practices
- Experience with Python libraries such as Pandas, NumPy, or similar for analytics and automation
- Strong understanding of data visualization principles and storytelling with data
- Knowledge of ETL concepts and cloud-based analytics architecture
- Ability to work independently while collaborating effectively across cross-functional teams
- Strong verbal and written communication skills with the ability to present technical findings to business stakeholders
- Experience working in Agile environments is preferred
- Experience with Alteryx for workflow automation and data preparation
- Knowledge of AWS analytics services (S3, Glue, Athena, Lambda, or EMR) is an added advantage
- Exposure to Git, CI/CD, or DevOps practices for BI development
- Experience working in Financial Services, Wealth Management, or Banking domains is preferred
Benefits
Comp & perks- Flexible work environment
- Fluid career paths
- Internal mobility opportunities
- Purpose, well-being, and work-life balance support
- Welcoming and inclusive work environment
- Volunteer opportunities
- Equal opportunity employment