{"name":"Data Analyst (Finance)","occupationalCategory":"Finance","aiRiskScore":54,"aiAugmentationScore":92,"wageProtectionIndex":"Sideways","topThreats":["workflow copilots","cross-tool AI agents","decision-support dashboards","process automation suites","AI spreadsheet assistants","automated reconciliation","regulatory reporting bots","llms and copilots"],"vulnerabilityBluf":"Mid-Career Data Analyst (Finance)s in Finance are vulnerable to artificial intelligence because first-draft research, summaries, report writing are increasingly automated by tools such as llms and copilots and predictive analytics. Data Analyst (Finance)s should expect AI to reshape the role, with routine tasks compressed and stronger demand for workers who can supervise AI-assisted output. At this seniority tier, the role’s safest moat is accountable work that sits outside what current agents can own end-to-end.","safestTasksSummary":"Within Finance, the tasks safest from machine automation for Data Analyst (Finance)s are commercial judgment, accountability, context interpretation, stakeholder persuasion. These depend on relational trust, regulated accountability, physical presence, or context-specific judgement that agents cannot reliably own today.","defenseSkills":["Experiment design when analysis is copilot-accelerated","Data governance for self-serve AI analytics tools","Cross-functional decision support with accountable interpretation"],"faq":[{"question":"Why is a Mid-Career Data Analyst (Finance) vulnerable to artificial intelligence?","answer":"Mid-Career Data Analyst (Finance)s in Finance are vulnerable to artificial intelligence because first-draft research, summaries, report writing are increasingly automated by tools such as llms and copilots and predictive analytics. Data Analyst (Finance)s should expect AI to reshape the role, with routine tasks compressed and stronger demand for workers who can supervise AI-assisted output. At this seniority tier, the role’s safest moat is accountable work that sits outside what current agents can own end-to-end."},{"question":"What tasks within Finance are safest from machine automation?","answer":"Within Finance, the tasks safest from machine automation for Data Analyst (Finance)s are commercial judgment, accountability, context interpretation, stakeholder persuasion. These depend on relational trust, regulated accountability, physical presence, or context-specific judgement that agents cannot reliably own today."},{"question":"Will AI replace Data Analyst (Finance)s?","answer":"Data Analyst (Finance)s have a moderate AI replacement risk with a 54/100 score. Data Analyst (Finance)s should expect AI to reshape the role, with routine tasks compressed and stronger demand for workers who can supervise AI-assisted output."},{"question":"How can Data Analyst (Finance)s stay competitive with AI in Finance?","answer":"Focus on commercial judgment, accountability, context interpretation while using AI for first-draft research, summaries, report writing. Priority skill upgrades: Experiment design when analysis is copilot-accelerated; Data governance for self-serve AI analytics tools; Cross-functional decision support with accountable interpretation."}],"url":"https://www.workrisklab.com/jobs/mid-career-data-analyst-finance/","globalUrl":"https://www.workrisklab.com/jobs/mid-career-data-analyst-finance/"}