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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 data analytics, leveraging AI tools and data visualization techniques to transform complex datasets into actionable insights. Proficient in developing automated solutions and collaborating with FP&A and data science teams to enhance financial planning processes.
Highest-signal resume keywords
Financial Report AutomationData Visualization ToolsAI Tools and WorkflowsETL ProcessesQlik Sense
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 AnalyticsSQLReport AutomationData PreparationData MiningData TransformationAI-Driven Scenario ModelingPrompt EngineeringVariance AnalysisAutomated Reporting
Tools & Technologies
Qlik SenseLooker MLTableauVizlibNPrintingKnime Analytics PlatformAlteryxGoogle SuiteJira
Industry Keywords
FP&ABusiness IntelligenceData ScienceGenerative AIFinancial Data
Tech Stack
Tools & technologiesETLSQLTableau
About the role
Key responsibilities & impact- Identify bottlenecks in traditional FP&A processes and support the implementation of automations and AI solutions.
- Transform complex, multi-layered datasets into clear, actionable intelligence using data visualization tools and AI-generated insights.
- Help bridge the gap between traditional FP&A and data science teams, assisting in data preparation for AI algorithms.
- Utilize generative AI tools to synthesize financial data and draft preliminary variance narratives.
- Provide reliable data support and analytical guidance to FP&A Business Partners.
- Move beyond retrospective reporting to assist in forward-looking planning, utilizing AI-driven scenario models.
- Actively participate in cultural and professional development of Corporate FP&A as a world-class organization.
- Develop end-to-end automated solutions for our stakeholders to support Finance Business Units.
Requirements
What you’ll need- Bachelor’s degree and one or more years of work experience in financial report automations, business intelligence, or data analytics.
- Hands-on experience in Qlik Sense, Looker ML & Tableau.
- Vizlib and NPrinting experience in Qlik Sense.
- Hands-on experience or strong academic exposure to building/utilizing AI tools, prompts, or workflows.
- Understanding of LLM capabilities and limitations across multiple models (Claude, Gemini, Codex, etc.).
- Familiarity with prompt engineering and working with tool-use/function calling.
- Ability to mine, extract, transform, and load large financial datasets to create automated reports.
- Working knowledge of report automation tools, technologies, and end-to-end ETL processes (e.g., Knime Analytics Platform, Alteryx).
- Basic knowledge of SQL and database queries.
- Knowledge of Google Suite and ticketing tools (e.g., Jira).
Benefits
Comp & perks- Flexible work arrangements
- Professional development opportunities
