Hiring Guide: Data Analyst Job Description

Hiring a data analyst shouldn’t take months of back-and-forth. If you’re clear about what you need and how the role fits into your team, the right people will spot it and apply. This data analyst job description template is built to help you do precisely that: attract experienced analysts who can make sense of your data and turn it into decisions.

Here’s a job description you can copy, customise, and start using today.

Data Analyst Job Description Template

Job Title: Data Analyst

Location: [Location]

Experience Level: 3 – 5 years

About Us:

[Brief description about your company]

Position Overview:

As a Data Analyst at [Your Company Name], you'll be responsible for turning raw data into meaningful insights that inform strategic decisions across departments. Your work will directly influence product improvements, marketing strategies, customer experience, and overall business performance.

This role requires a strong analytical mindset, proficiency in data querying and visualisation tools, and the ability to communicate complex findings clearly. You’ll collaborate closely with cross-functional teams to uncover patterns, test hypotheses, and help the business make data-driven decisions.

Key Responsibilities:

• Analyse large datasets to identify trends, patterns, and actionable insights that support business goals.

• Build dashboards and reports to monitor performance and communicate key metrics to stakeholders.

• Collaborate with product, marketing, sales, and operations teams to define KPIs and track outcomes.

• Translate complex data findings into clear narratives and visualisations for non-technical stakeholders.

• Design and conduct A/B tests and other experiments to evaluate hypotheses and measure impact.

• Ensure data integrity by performing routine data audits and cleaning.

• Work with data engineers to optimise data pipelines and ensure seamless data flow.

• Stay current with the latest analytical tools, technologies, and best practices.

Requirements:

• Bachelor’s degree in statistics, mathematics, computer science, economics, or a related field.

• 3 – 5 years of experience in a data analyst or similar role.

• Advanced proficiency in SQL and Excel.

• Experience with data visualisation tools (e.g., Tableau, Power BI, Looker).

• Strong understanding of statistical methods and A/B testing.

• Familiarity with Python or R is a plus.

• Excellent attention to detail and problem-solving skills.

• Strong communication skills with the ability to explain technical concepts to non-technical audiences.

• Experience working in a fast-paced, high-growth environment.

Why Choose [Your Company Name]:

• Join a high-performing team focused on innovation and impact.

• Work on meaningful projects that directly influence business outcomes.

• Get access to ongoing learning and professional development opportunities.

• Enjoy competitive compensation and a supportive, collaborative work culture.

• Be part of a data-driven organisation where your insights truly matter.

How To Apply:

To apply for the Data Analyst position, send your resume and a short cover letter highlighting your experience and impact in previous roles to [email address].

Conclusion

A well-written job description of a data analyst should do more than fill a role; it should attract someone who knows how to solve problems, ask the right questions, and bring clarity to chaos. This data analyst job description template is designed to do just that. Feel free to edit it for your business and skip the generic fluff.

Or if you’d rather skip the sourcing, vetting, and back-and-forth entirely, let GrowthBuddy help!

We find, interview, and deliver experienced analysts who can hit the ground running from day one and work full-time with you, aligned to your time zone and goals – so you can spend less time on hiring and more time driving results.