All occupations

Data Analyst: AI job impact

AI can help maintain reports, describe queries and summarize trends. Metric definitions, data quality and business interpretation still need an accountable analyst.

U.S. occupation dataData checked October 25, 2026Methodology
Data Analyst at work

AI applicability

0.357 / 1

How applicable AI was to this occupation’s work in Microsoft’s study. This is an index, not a probability.

Observed activity coverage

77.2%

Share of work activities above the study’s usage threshold, weighted by importance. Not the share of workers using AI.

Broader occupation groupBusiness Intelligence Analysts · 15-2051.01

Tasks use Business Intelligence Analysts. The research score and BLS outlook cover the broader Data Scientists group, not a separate data analyst estimate.

Microsoft v1.1 · U.S. Bing Copilot conversations, Jan–Sep 2024. These indicators do not predict job losses and do not change with your task selections. Measurement details

Your daily tasks

Set how often you do each task to update your task mix, plan and tool suggestions.

8 of 8 tasks selectedFrequency-weighted task mix
Partial automation
25.0%2 tasks
AI assistance
37.5%3 tasks
Human-led
37.5%3 tasks

Frequency weights: occasionally 1, regularly 2, often 3. These shares do not represent working hours, time saved or job-loss risk.

AI roles are AI IDE List editorial assessments of O*NET tasks, not measured automation rates. Partial automation requires review.

Investigate report problems

Suggest query and refresh checks; reconcile the dashboard with the source system.

Task source

O*NET original task statement (English)

Provide technical support for existing reports, dashboards, or other tools.

O*NET 31.0, task 16134 · Importance 3.95 / 5. View occupation tasks

AI roleAI assistance

Maintain reporting documentation

Draft definitions and templates from verified inputs; check version history and ownership.

Task source

O*NET original task statement (English)

Maintain library of model documents, templates, or other reusable knowledge assets.

O*NET 31.0, task 16135 · Importance 3.41 / 5. View occupation tasks

AI rolePartial automation

Identify customer segments

Draft segmentation queries; validate the population, consent constraints and business meaning.

Task source

O*NET original task statement (English)

Identify or monitor current and potential customers, using business intelligence tools.

O*NET 31.0, task 16136 · Importance 3.47 / 5. View occupation tasks

AI roleAI assistance

Review reporting specifications

Check a specification for ambiguous metrics; confirm definitions and acceptance criteria with its users.

Task source

O*NET original task statement (English)

Create or review technical design documentation to ensure the accurate development of reporting solutions.

O*NET 31.0, task 16137 · Importance 3.36 / 5. View occupation tasks

AI roleHuman-led

Gather industry context

Prepare interview questions and summaries; verify claims with the original contacts and sources.

Task source

O*NET original task statement (English)

Communicate with customers, competitors, suppliers, professional organizations, or others to stay abreast of industry or business trends.

O*NET 31.0, task 16138 · Importance 3.43 / 5. View occupation tasks

AI roleHuman-led

Update dashboards and data tools

Draft a narrow dashboard or query change; compare results and refresh behavior before release.

Task source

O*NET original task statement (English)

Maintain or update business intelligence tools, databases, dashboards, systems, or methods.

O*NET 31.0, task 16139 · Importance 4.36 / 5. View occupation tasks

AI rolePartial automation

Deliver business intelligence

Draft a distribution schedule; confirm the right people receive timely, access-controlled information.

Task source

O*NET original task statement (English)

Manage timely flow of business intelligence information to users.

O*NET 31.0, task 16140 · Importance 4.19 / 5. View occupation tasks

AI roleHuman-led

Analyze business trends

Suggest breakdowns for a change; check seasonality, data coverage and alternative explanations.

Task source

O*NET original task statement (English)

Identify and analyze industry or geographic trends with business strategy implications.

O*NET 31.0, task 16141 · Importance 3.86 / 5. View occupation tasks

AI roleAI assistance

Your selections are saved in this browser. Sharing a link includes only the occupation and selected frequencies.

Your AI adaptation plan

Start with one recurring task. Test the output before expanding the workflow.

  1. Validate AI-assisted analysis

    For: Investigate report problems

    Prepare
    Use a sanitized sample with a data dictionary, units and a clear question.
    Try
    Suggest query and refresh checks; reconcile the dashboard with the source system.
    Verify
    Recompute a small sample independently and check joins, missingness and denominators.
  2. Verify AI-written documentation

    For: Maintain reporting documentation

    Prepare
    Supply approved source material, the intended reader and the required output format.
    Try
    Draft definitions and templates from verified inputs; check version history and ownership.
    Verify
    Trace factual claims to the source and run any procedural examples.
  3. Review generated code

    For: Update dashboards and data tools

    Prepare
    Start with a small task, a stated interface and acceptance criteria.
    Try
    Draft a narrow dashboard or query change; compare results and refresh behavior before release.
    Verify
    Inspect the diff, run independent tests and check dependencies before using the change.

Validate metrics and joins

Choose a dashboard metric, document its grain and exclusions, then reconcile a generated query against a small manually checked sample.

Skills and career outlook

Skills in the occupation data

Importance · 1–5
  • Reading Comprehension4.00 / 5
  • Active Listening3.88 / 5
  • Speaking3.88 / 5
  • Critical Thinking3.88 / 5
  • Active Learning3.88 / 5

Top O*NET essential and transferable skills by importance. Ratings describe occupational requirements, not future demand.

U.S. employment projection

+34.6%

Projected employment change, 2025–2035

Data scientists

This is the mapped occupation’s outlook, not a separate forecast for your job title. BLS projects total employment change from many factors. This is not an AI-specific forecast or a UK projection.

BLS employment projections

What to keep evaluating

This report uses Business Intelligence Analyst tasks and a broader Data Scientists score. Your actual reporting and stakeholder work may differ substantially.

Tools to try with your tasks

Matched to the tasks you selected. Test on a small example and compare output quality and review effort.

A model to evaluate on a small, verified example of this task. Compare quality and review effort before adopting it.

Try for: Investigate report problems; Maintain reporting documentation.

A model to evaluate on a small, verified example of this task. Compare quality and review effort before adopting it.

Try for: Investigate report problems; Maintain reporting documentation.

Cursor

Tool

Draft and review small code, SQL and test changes in your project.

Try for: Investigate report problems; Identify customer segments.

Explore a codebase and propose a bounded change with tests.

Try for: Maintain reporting documentation; Update dashboards and data tools.

Claude Code commands

Sources and limits

Matched occupation: Business Intelligence Analysts (15-2051.01). Published research group: Data Scientists (SOC 15-2051).

Microsoft’s study uses O*NET 29.0; the task descriptions here use O*NET 31.0. The original study score is preserved. Editorial suggestions are not results reported by these sources.

Read the methodology, attribution and update record