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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in financial report automation and advanced data analytics, leveraging AI solutions and prompt engineering to enhance financial planning and reporting processes. Capable of bridging finance and technology to deliver actionable insights and strategic advisory.
Highest-signal resume keywords
Financial Report AutomationBusiness Intelligence/AnalyticsAI Agent DevelopmentPrompt EngineeringETL Processes
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Financial ReportingData VisualizationSQL Performance TuningData ExtractionData TransformationModel SelectionLarge Dataset ManagementAI Solutions ImplementationAutomation TechniquesQlik Sense
Soft Skills
Strategic AdvisoryProactive Problem SolvingCollaboration
Tools & Technologies
Knime Analytics PlatformAlteryxEssbaseQVD Generation
Industry Keywords
FP&AGenerative AIData ScienceAutomationData Storytelling
Tech Stack
Tools & technologiesETLSQL
About the role
Key responsibilities & impact- Architect Intelligent Workflows: Identify bottlenecks in traditional FP&A processes and spearhead the implementation of automations and AI solutions.
- AI-Enhanced Data Storytelling: Transform complex datasets into actionable intelligence using advanced data visualization tools and AI-generated insights.
- Bridge Finance and Technology: Act as the crucial link between traditional FP&A and data science teams.
- Prompt Engineering for Finance: Utilize generative AI tools to rapidly synthesize financial data.
- Ensure timely and accurate delivery of financial planning, reporting & analyses.
- Proactive Value Creation: Move beyond retrospective reporting to become a forward-looking strategic advisor.
Requirements
What you’ll need- Bachelor’s degree
- Four or more years of work experience in financial report automations.
- Five or more years of relevant work experience in Business Intelligence/Analytics within FP&A teams.
- Deep, hands-on experience building AI agents or agentic systems in production.
- Strong understanding of LLM capabilities and limitations across multiple models (Claude, Gemini, Codex, etc.).
- Expertise in prompt engineering, model selection, and working with tool-use/function calling.
- Ability to mine, extract, transform, and load large financial datasets to create zero-touch reports.
- Working knowledge of report automation tools, technologies, and end-to-end ETL processes (e.g., Knime Analytics Platform, Alteryx).
- Experience with Qlik Sense and QVD generations from different data sources.
- Experience in Essbase, SQL, and SQL performance tuning.
Benefits
Comp & perks- Health insurance
- Professional development opportunities
- Flexible work arrangements
