How to become a head of data and analytics: 9 beginner jobs open today

1. Know what the work is. A head of data and analytics leads a company’s data teams and decides which questions and systems they work on first. Beginner postings today use titles like Director of Data Science; Data Engineering Lead; Human Data Manager; Data Science Manager; Data Science Manager, Forward Deployed.
2. Learn the skills employers name first. In today’s 260 postings: SQL (40%), Snowflake (26%), dbt (18%), Tableau (13%), Agile (10%).
3. Build proof you can show. Two or three results with a number, from a job, a course project or volunteer work. The kind of line a recruiter looks for: “Built a revenue dashboard in Tableau used by 40 people each week; monthly reporting went from 3 days to 4 hours”.
4. Write the resume and the letter. Start from the head of data and analytics resume example and the cover letter example, and replace every line with your own.
5. Apply where beginners are hired. 9 of today’s 260 open head of data and analytics jobs are junior or intern roles or ask for two years of experience or less. See the open jobs and check each one with the resume match checker before you apply.

SQL (40%), Python (36%), Machine Learning (29%), Snowflake (26%), dbt (18%), Data quality (18%), LLM (17%), Databricks (17%), AWS (15%), Tableau (13%) of today’s 260 open head of data and analytics postings name them. Learn the first three well before the rest.

The step is the level word in the job title; “No level in the title” is usually the mid-level role. After senior, people move into lead, staff or principal roles, or into managing a team. What each level means.

• Get fluent in SQL, the skill today’s postings name most, and prove it with a project you can show.
• Take one short course in the field and finish it with a project, not only a certificate.
• Keep a list of your results with numbers, updated every month: it becomes your resume lines and your interview stories.
• Find one person a few years ahead of you in this work and ask for a 20-minute talk each quarter.

• Headline: the title employers search for, then your strongest skills and one result: “Head of Data and Analytics | SQL · Snowflake · dbt | [one result with a number]”.
• About: three short paragraphs: what you do, two results with numbers, what you want next.
• Skills section: list the skills postings name, in their words: SQL, Python, Machine Learning, Snowflake, dbt.
• Open to work: set the job titles and places you want; recruiters filter by them.

Write the headline with the LinkedIn headline generator.

How much experience do head of data and analytics jobs ask for?

The median in today’s postings is 7 years; 7% of the postings that name a number ask for two years or less.

Do I need a degree to become a head of data and analytics?

6% of today’s 260 postings say no degree is required. Many others accept equivalent experience: read the requirements of each posting.

How much does a beginner head of data and analytics earn?

Few beginner postings state pay. Across all levels, the median advertised pay is $203K a year.

What qualifications do you need to become a head of data and analytics?

Employers name skills first: SQL (40%), Snowflake (26%), dbt (18%) of today’s postings. The median posting asks for 7 years of experience. 6% say no degree is required. Few postings ask for a specific certification.

Is AI replacing head of data and analytics?

Not in today’s postings: 260 head of data and analytics jobs are open on Jobs Every Hour as of Nov 15, 2026, and 44% of them ask for AI or machine-learning skills, alongside SQL (40%), Snowflake (26%).