What does a Data Analyst do?

A Data Analyst gathers data from multiple sources, cleans and analyzes it, and presents findings that help teams make better decisions. Day to day they write SQL queries, build dashboards, and answer questions about product usage, revenue, or operations. The goal is to turn raw numbers into a clear, usable answer.

What are the main responsibilities of a Data Analyst?

The core duties are querying and cleaning data, building dashboards and reports, and investigating why metrics move. Most analysts also define shared metrics, support experiments, and present recommendations to non-technical stakeholders so the whole team works from the same facts.

What skills does a Data Analyst need?

Strong SQL and a solid grasp of a BI tool like Tableau, Looker, or Power BI are essential. Equally important is the ability to communicate findings clearly to people who do not work with data. Attention to detail and healthy skepticism about data quality round out a strong analyst.

What should a Data Analyst job description include?

A good Data Analyst job description opens with a one-line definition and short brief, then lists key responsibilities, full duties, and required experience and skills. Naming the specific tools and data stack you use, along with the teams the role supports, helps the right candidates self-select.

Who does a Data Analyst work with?

Data Analysts work closely with product, marketing, finance, and operations teams who need answers from data. They often collaborate with data engineers who own the pipelines and with leadership who rely on their reports to steer the business.

Data & AI

Data Analyst Job Description

Data Scientist Machine Learning Engineer Data Engineer Business Analyst AI Engineer Data Architect Business Intelligence (BI) Analyst Database Administrator (DBA)MLOps Engineer

About the role

We are looking for a Data Analyst to turn raw data into clear answers the whole team can act on. You will write queries, build dashboards, and dig into the numbers behind product, marketing, and operations. The ideal candidate is curious, precise, and just as comfortable cleaning a messy table as presenting a finding to stakeholders.

Key responsibilities

Query and analyze data to answer business questions
Build and maintain dashboards and recurring reports
Translate findings into clear recommendations for stakeholders

Responsibilities

Write and optimize SQL queries against the data warehouse to pull and join datasets
Build self-serve dashboards in Tableau, Looker, or Power BI for teams to track KPIs
Clean, validate, and reconcile data to ensure reports are accurate and trustworthy
Investigate anomalies and metric changes, then explain what drove them
Design and analyze A/B tests and measure the impact of product or marketing changes
Define and document metrics so the business shares one consistent source of truth
Partner with teams to scope questions and translate vague asks into measurable analysis
Automate recurring reports and remove manual spreadsheet steps where possible
Present findings with clear visuals and a recommended next action
Maintain a documented library of queries, definitions, and dashboards for reuse

Requirements

Bachelor's degree in statistics, mathematics, economics, computer science, or a related field
2 or more years in a data analyst, business intelligence, or reporting role
Strong SQL skills and hands-on experience with a BI or visualization tool
A track record of analysis that changed a decision or process
Comfort cleaning messy data and working with ambiguous, evolving questions

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