What to put on a data analyst resume at tech companies · 217 roles · 90 days to Oct 16, 2026

The skills these postings ask for most

Counts are out of the 215 roles whose requirements we could read; the 10 asked for most in each list.

What to put first

1. 1

   Lead with SQL, Data Visualization and Tableau

   They are the required skills named most, with their counts in the table above. Put the ones you have in your skills line and in the bullets of your latest job, each next to what you did with it.

2. 2

   Then Python and dbt, if you have them

   Preferred, not required: Python in 45 of 215 (21%) and dbt in 26 of 215 (12%). Add them where they are true; leaving one out costs less than claiming it.

3. 3

   Make 3+ years easy to count

   Among roles that state years, 138 of 168 (82%) ask for at least 3 years. Give every job a start and end month and year, so a reader can add them up.

4. 4

   Education can go last

   60 of 209 (29%) roles require a degree with no alternative; the rest accept experience instead, prefer one or do not mention it. Lead with your work.

5. 5

   Going for senior? Show Data Modeling

   Data Modeling is required in 9 of 55 (16%) mid-level roles and 17 of 72 (24%) senior roles. If you have done that work, say where.

What changes by level

The data analyst career path compares each level with the next: the required skills that rise, the years asked and the median stated pay where it shows.

Data analyst career path

Bullet patterns

Replace every bracket with your own facts. Keep only numbers you can explain in an interview.

• Pattern, not a real resume

  Built [system] that [what it does] for [team or users], using SQL; [metric] after [time].

• Pattern, not a real resume

  Used Data Visualization to cut [metric] from [before] to [after] by [change you made].

• Pattern, not a real resume

  Applied Tableau to [problem], which [made it cheaper, faster or more reliable] by [amount].

• Pattern, not a real resume

  Led [project] with [number] people across [teams]; shipped [outcome] in [time].

Gaps to check before you send it

• A required skill you use but never name

  If you work with SQL and Data Visualization but your bullets only say what the product did, a reader looking for the skill will not find it. Name it where you used it.

• Dates that do not add up

  Most roles that state years ask for at least 3 years. Missing months, overlaps and unexplained gaps make that hard to count.

• Bullets without an outcome

  A bullet that names a tool but not what changed reads as a list of tasks. Add what moved and by how much, or what shipped.

• Work at the next level, hidden by a title

  Senior roles ask for Data Modeling and Tableau more often than mid-level roles do. If you did that work, say so, whatever your title was.