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Data Analyst

Turn raw data into decisions.

Explore the work first. You do not need to commit to a direction today.

Data Analyst
01 — Career overview

What this career is about

Data analysts gather, clean, and interpret data to answer business questions and help teams make better, more confident decisions.

Primary responsibilities
  • Pull and clean data from databases and tools
  • Build dashboards and recurring reports
  • Answer ad-hoc questions from stakeholders
  • Surface patterns that drive new strategy
02 — Is this career right for you?

People who thrive here often…

Read these as patterns, not requirements. The more that resonate, the more this role may feel like a fit.

Traits
  • Curious
  • Detail-oriented
  • Patient
  • Skeptical
Interests
  • Numbers
  • Storytelling with data
  • Business problems
Strengths
  • Logical thinking
  • Communication
  • Pattern recognition
Values
  • Truth
  • Clarity
  • Impact
Work styles
  • Mix of deep work + stakeholder collaboration
03 — Why Vocari recommended this

Personalized once you've started your profile

Once Vocari knows a little about you, this section explains why this career fits you — and does the same on every career you explore. About 15 minutes to start.

Start your profile
04 — A day in the life

Picture yourself inside the role

An imagined day. Not every day looks like this — but enough of them do.

  1. 9:00 AMCheck dashboards

    Skim the morning metrics. Flag anything unusual.

  2. 10:00 AMStakeholder request

    PM asks 'why did signups drop?' — you start digging.

  3. 12:00 PMLunch

    Break before the next analysis.

  4. 1:00 PMSQL deep dive

    Write a careful query, validate the numbers, double-check.

  5. 3:00 PMBuild visualization

    Turn the answer into a clean chart with one clear takeaway.

  6. 4:00 PMShare findings

    Post a short writeup in Slack with the chart and your interpretation.

05 — Career path

Where this can lead

A common progression. Real careers branch — but this is the shape most people travel through.

Student
Student

Learning fundamentals through coursework or self-study.

Intern
Intern

First exposure to real work — supervised, low stakes.

Entry
Entry-level

Owning small pieces of real projects under close mentorship.

Mid
Mid-level

Driving projects end-to-end with growing autonomy.

Senior
Senior

Owning ambiguous problems and raising the bar around you.

Manager
Manager

Multiplying impact through people and systems.

Director
Director / Lead

Setting strategy across a function or org.

06 — Salary insights

What this career typically pays

Entry-level
$65k
Average
$95k
Experienced
$145k+
Salary growth potential

Path opens into Data Science, Analytics Engineering, or Analytics Leadership ($180k+).

07 — Industry insights

What the market is doing right now

Employment outlook
Strong demand as every team becomes more data-driven.
Projected growth
+23% over the next decade
Remote trends
Most analyst roles are remote-friendly.
AI impact
AI tools accelerate SQL and reporting — analysts who pair AI with judgment are pulling ahead.
Industries hiring
TechFinanceHealthcareE-commerceConsulting
Geographic demand
RemoteNew YorkChicagoAustinLondon
Emerging skills employers want
dbt + analytics engineeringPython for analysisAI-assisted queryingExperimentation
08 — Skills needed

What to build

Technical skills
  • SQL
  • Excel / Sheets
  • Tableau or Looker
  • Basic Python or R
  • Statistics fundamentals
Soft skills
  • Curiosity
  • Stakeholder communication
  • Storytelling with data
Recommended certifications
  • Google Data Analytics Certificate
  • Tableau Desktop Specialist
Transferable skills
  • Critical thinking
  • Writing
  • Project scoping
09 — What it takes to get in

Requirements at a glance

This is about entry requirements, not whether the work suits you. It never changes your match.

  • Additional degree required

    Bachelor Degree is the usual minimum.

  • Alternative paths available

    Bootcamp or certificate route · Portfolio or work-sample route · Internal promotion

Time to entry

Typically 9 months–3 years

Education cost

Moderate education cost

Estimate based on U.S. Bureau of Labor Statistics, Occupational Outlook Handbook, checked 2026-08-08. Individual timelines vary.

Tell us your education and any licenses you hold and we can say how this lines up with your background. Add your background

10 — Education & learning paths

Multiple routes in

There is rarely one path. Here are the most common ones.

Degrees
  • BA / BS in any quantitative field (stats, econ, math, engineering)
Certifications
  • Google Data Analytics Certificate
  • IBM Data Analyst
Bootcamps
  • Springboard Data Analytics
  • Metis
Self-taught options
  • Mode Analytics SQL tutorials
  • Kaggle datasets + writeups
Continuing education
  • Causal inference
  • Experimentation courses
11 — Similar careers

Worth exploring too

No need to commit yet. Comparing a few paths usually tells you more than choosing one early.

12 — Hear from professionals

In their own words

Statistics tell you the shape of a career. People tell you what it feels like.

What I love

"The detective work. Half my job is finding the right question — once that's clear, the SQL is easy."

Hana W.
Senior Data Analyst · 6 years
Biggest challenge

"Getting people to act on the data. The analysis is the easy part."

Carlos N.
Analytics Lead · 10 years
13 — Take the next step

Turn exploration into momentum

Keep learning about yourself or compare the work before choosing a direction.

The clearer you get about what fits, the easier every next decision becomes.

Start your profile