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Data Analyst

A Data Analyst turns data into clear answers that guide decisions. They gather and clean data, run queries, build dashboards, and explain trends to non-technical stakeholders. The role focuses on describing what is happening and why, giving teams reliable numbers and visualizations so they can act with confidence rather than guesswork.

Responsibilities

Gather, clean, and validate data
Write SQL queries to answer business questions
Build dashboards and reports
Identify trends, patterns, and anomalies
Present findings to stakeholders clearly
Support decisions with data and metrics

Must-have skills

Strong SQL skills
Spreadsheet proficiency (Excel or Sheets)
Data visualization (Tableau, Looker, or Power BI)
Clear communication of insights
Attention to detail and data quality

Nice-to-have skills

Python or R for analysis
Statistics fundamentals
Experience with data warehouses
A/B testing knowledge

Average Salary

Typical US base salary for an HR Generalist by experience level.

Junior

0–2 yrs experience

$65,000 – $85,000
US annual salary (USD)

Intermediate

0–2 yrs experience

$85,000 – $110,000

US annual salary (USD)

Senior

0–2 yrs experience

$110,000 – $145,000

US annual salary (USD)

Figures are annual US market estimates for orientation, not offers. Actual pay varies by location, company stage, and equity.

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Frequently asked questions

What does a Data Analyst do?
They collect and analyze data, build reports and dashboards, and explain what the numbers mean so teams can make better decisions.
Data Analyst vs Data Scientist: what is the difference?
Analysts focus on describing and reporting on data. Data Scientists go further into predictive modeling and experimentation, and write more code.
What skills do I need to become a Data Analyst?
SQL, spreadsheets, and a visualization tool are the core. Communication skills and business understanding set strong analysts apart.
Is data analysis a good entry-level role?
Yes. It is a common, accessible entry point into data careers and can lead to data science, analytics engineering, or product roles.

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