The best data analyst job descriptions ask for judgment, not just dashboards. The template below screens for SQL depth and business reasoning, the two skills that separate analysts who change decisions from analysts who decorate slides.
Paste the template below into your job board or careers page, then replace the bracketed placeholders with your company's specifics. Every section is written to be edited, not just admired.
About the role [Company] is hiring a Data Analyst to turn our data into better decisions. You will work directly with [teams] on the questions that drive the business, own key dashboards, and act as the guardian of metric quality. What you will do - Own analysis end to end: scope the question, write the SQL, deliver the recommendation. - Maintain the dashboards leadership relies on, and retire the ones nobody uses. - Help teams design experiments and interpret results without wishful thinking. - Improve data quality by catching issues early and pushing fixes upstream. - Make your work reproducible: documented queries, versioned logic, clear definitions. What we are looking for - 2+ years in analytics with strong, demonstrable SQL. - Business sense: you ask why before you query what. - Experience with [BI tool] and a cloud warehouse. - Statistical judgment and the honesty to say the data is inconclusive. - Writing that stakeholders read and act on. Nice to have - dbt experience, Python or R, or background in [industry]. Compensation and benefits Base salary of $80,000 to $140,000 depending on experience, plus [benefits summary]. Calibrate the range to your market before posting. How we work Analytics reports into [function], which means your work lands in decisions, not decks. You will have a modern stack, a manager who protects focus time, and a visible growth path toward [senior analyst or analytics engineering]. Additional benefits include [health coverage, 401(k), PTO] and remote flexibility. How to apply Apply with a resume and one example of an analysis that changed a decision: the question, your approach, and what happened next. We value that story over any portfolio of charts.
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SQL depth and business judgment. Tools change and can be learned; the ability to frame a question and defend a metric definition is what you are really hiring.
Base salaries typically run $80,000 to $140,000 depending on seniority and market. Contract analysts on vetted marketplaces usually bill $30 to $115 per hour.
Almost always the analyst. Most companies have years of descriptive and diagnostic questions to answer before predictive modeling adds value. Hire the scientist when a specific ML use case is proven.
A short, paid, realistic exercise works well: one dataset, one open question, an hour or two. Evaluate the reasoning and the write-up, not just the SQL correctness.
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