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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, business intelligence, and automation, with a strong focus on ETL processes, data integration, and advanced analytics. Proficient in utilizing tools like Power BI, SQL, and Python to deliver actionable insights and improve operational performance.
Highest-signal resume keywords
ETL ProcessesPower BISQL QueryingPython for Data AnalysisCredit Risk Experience
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 AnalysisData IntegrationData TransformationReusable Data ModelingProduction-Ready Data PipelinesReporting ModernizationAutomationTrend AnalysisException DetectionAI-Enabled Tools
Soft Skills
Decision-MakingProblem-SolvingOrganizationCommunicationCuriosity
Tools & Technologies
DatabricksSnowflakeGitLabJira
Industry Keywords
Business IntelligenceRisk ManagementAnalytics EngineeringOperational PerformanceEvidence-Based Decision-Making
Tech Stack
Tools & technologiesETLPythonSQL
About the role
Key responsibilities & impact- Gather, integrate, and transform data from multiple sources
- Design reusable data assets and production-ready data pipelines
- Identify trends, exceptions, and root causes
- Build intuitive reporting and analytics solutions using modern tools and platforms
- Deliver business intelligence, automation, advanced analytics, and data products
- Improve operational performance, risk visibility, and evidence-based decision-making
- Partner with business, technology, risk, and leadership stakeholders to define success measures and evaluate outcomes
- Monitor performance and ensure analytics work leads to practical business action
- Apply software development practices, source control, agile delivery, automation, Python-based analysis, Databricks-enabled workflows, and responsible AI tools
- Operate as a hands-on developer and analytical thought partner
- Convert static reporting into dynamic analytics products with automated refreshes, exception monitoring, trend analysis, leading indicators, and decision-support views
- Present insights to technical, operational, risk, and executive audiences
Requirements
What you’ll need- Bachelor's degree, or equivalent work experience
- Four to five years of experience in data analysis, business intelligence, reporting modernization, analytics engineering, automation, or a related field
- Strong experience with ETL processes, data integration, data transformation, reusable data modeling, and production-ready data pipelines
- Advanced experience with Power BI and SQL querying/coding, including data modeling, performance optimization, dashboard design, and reporting modernization
- Hands-on experience with Snowflake and Databricks
- Experience with Python for data analysis, automation, reusable scripting, exception detection, model support, and analytics solution development
- Experience using GitLab for version control and collaborative development
- Experience using Jira for agile project management, requirements tracking, and delivery execution
- Experience with AI prompting, AI agents, and AI-enabled tools
- Credit Risk experience and strong understanding of risk management principles, portfolio performance, and risk analytics
- Ability to frame business problems, challenge assumptions, evaluate data quality, identify meaningful patterns, and translate findings into recommended action
- Ability to data mine, analyze data, tell the story behind the numbers, and present insights clearly
- Ability to convert static reporting into dynamic analytics products
- Experience applying documentation, peer review, version control, testing, backlog management, and sustainable handoff practices
- Ability to work in ambiguous environments
- Ability to develop and maintain strategic partnerships with senior business unit management, business partners, project sponsors, and technology teams
- Strong decision-making, problem-solving, organization, and project management skills
- Effective interpersonal, verbal, and written communication skills
- Curiosity, ownership, and a continuous-improvement mindset
- Must be authorized to work in the United States without current or future employer sponsorship, including F-1 OPT, STEM OPT, CPT, or other employment-based visa sponsorship
Benefits
Comp & perks- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
- Incentive and recognition programs
- Equity stock purchase
- 401(k) contribution and pension
- Disability accommodations during the application or hiring process
