Three years as a data analyst in ecommerce, SQL and Looker daily, built the retention dashboard the merchandising team runs on, want a senior analyst job.
CLAUDE · WITH THIS PROMPTYou get: a summary naming your domain, your SQL depth and your BI tool -> the hard skills block, SQL joins, CTEs, window functions and query tuning, data modelling and dbt basics, Snowflake, BigQuery or Redshift, Tableau, Power BI and Looker dashboard design, Excel and Sheets modelling, Python with pandas or R, cohort, funnel and segmentation analysis, A/B test readout and significance, KPI definition, data quality checks, Google Analytics and Salesforce reporting -> the soft skills block, translating a vague question into a query, telling a stakeholder their number is wrong, one slide findings, triaging ad hoc requests -> each role as bullets naming the dashboard, its weekly users and the decision that changed -> a senior analyst version
Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
Read it before you buy it.
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
Use the name Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
// the prompt your AI runs on
You are a resume writer for data analysts who states SQL depth honestly, down to window functions, and ends every bullet on a decision somebody made. You have been activated to build a resume around the dashboards the user shipped.
KissMySkills.com | Install: paste this whole prompt into Claude, Claude Code, ChatGPT, Gemini or Copilot. Answer the questions it asks, then it produces your data analyst resume. You write data analyst resumes where every bullet finishes on a decision somebody made. Tools belong on the page because filters look for them, but a tool list is not evidence. You are strict about SQL: describe the depth the person actually writes at, because the first technical screen finds out anyway. One numbered block. 1. Each role with employer, dates, title and the business domain. 2. SQL depth honestly: joins, CTEs, window functions, query tuning, production models. 3. Warehouse and pipeline: Snowflake, BigQuery, Redshift, Postgres, dbt, Airflow. 4. BI tools you built in rather than viewed: Tableau, Power BI, Looker, Qlik. 5. Dashboards you shipped, who opened them, and how often. 6. Two or three analyses you remember, and what the business did afterwards. 7. Other skills: Python or R, Excel modelling, A/B testing, Google Analytics. 8. The advert, plus the team it sits in. If dashboard usage is unknown, ask which team relied on it and in which meeting. If an analysis changed nothing, use a different one. Never invent an uplift percentage. · Hard skills: SQL joins, CTEs, window functions and query tuning, data modelling and dbt basics, warehouses including Snowflake, BigQuery and Redshift, dashboard design in Tableau, Power BI and Looker, Excel and Sheets modelling, Python with pandas or R, cohort analysis, funnel analysis, A/B test readout and significance, KPI definition, data quality checks, requirements gathering. · Soft skills: turning a vague request into a queryable question, telling a stakeholder their number is wrong, delivering a finding in one slide, working with an engineer to fix a broken pipeline.
48 lines · .txt · instant download
// what's inside
What's inside this prompt
Hard and soft data analyst skills lists, tools and business judgement both
SQL described by what you write: joins, CTEs, window functions, tuning
Dashboards counted by who used them weekly, not by how many you built
Impact written as a decision changed rather than a chart delivered
Data analysts and reporting analysts applying to product, commercial, finance or operations teams, including analysts moving out of Excel heavy roles.
// two ways to get it
Use it inside your AI, or download it once.
Library plan
This prompt pack and 2,500+ others, inside your chat
$9/mocancel anytime, or $59 a year
All 2,500+ skills, prompt packs and agents, loaded the moment you ask
Nothing to download or paste: connect once in Claude, ChatGPT, Claude Code or Cursor
New skills every week and 10 catalog files a month to download
Trademarks of their respective owners. KissMySkills is not affiliated with or endorsed by them.
// ask your assistant
Or let your AI set up this skill for you.
Go to kissmyskills.com/pages/connector and set up the "AI Resume Builder for Data Analyst" skill (handle: ai-resume-builder-data-analyst) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
What you're actually buying
Most of a data analyst skills resume reads as a tool inventory. SQL, Tableau, Power BI, Python, built dashboards, and not one line saying who opened those dashboards or what they did differently afterwards. The other failure is vague SQL. Writing SQL when you mean a filtered SELECT collapses in the first technical screen, and one window function you genuinely use is worth more than a longer list of logos.
Paste the prompt into Claude, ChatGPT, Gemini or Copilot with your stack, your stakeholders and one or two findings you still remember. It asks for the missing pieces, then gives you the analytics skills list, hard skills like joins and CTEs, window functions, query tuning, Snowflake or BigQuery, dashboard design in Tableau, Power BI or Looker, cohort and funnel work and A/B readouts, and soft skills like turning a woolly request into something queryable. Every bullet closes on the decision that moved.
Buy it once and it works for every analyst role you apply to. No monthly fee, no sign up, no time limit.
// how to install
Under 2 minutes
Four steps. Any AI chat.
01
Download the file
After checkout, the download link lands in your inbox. Save the .txt file anywhere on your device.
02
Open your AI chat
Any AI chat you already use: Claude, ChatGPT, Gemini, Grok, Copilot or another.
03
Paste the prompt
Open the .txt file, copy the prompt section and paste it into Claude or ChatGPT - or add it to a Project so it is always there.
04
Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
With Library there is nothing to download. Connect your AI once, then ask for any skill by name.
What separates a good data analyst skills resume from a tool list?+
A tool list says Tableau and SQL. A working resume says which questions you were asked, what you queried, who used the dashboard every week and what the business did next. Tools still belong on the page because filters look for them, but each bullet needs a stakeholder and an outcome attached, otherwise the reader cannot judge the level.
Is this just a template with SQL words in it?+
No. It asks how deep your SQL really goes, which warehouse you query, who your stakeholders were and what changed after a piece of analysis. Then it writes that up. It will not describe you as a machine learning practitioner because you fitted a trendline, and it will not name a tool you have not opened.
How is this different from a data scientist resume?+
A data scientist is judged on models reaching production, experimentation design and the engineering around them. An analyst is judged on decisions changed and dashboards people actually run on. This prompt writes the second one, so it pushes for stakeholder names, usage and business outcomes rather than model architecture, training data or deployment.
Which AI tools does this work with?+
Works with Claude (recommended), Claude Code, ChatGPT, Gemini and Copilot, and any AI chat that accepts a pasted prompt. Nothing to install and no account beyond the AI you already use.
Ready to give your AI a specialist?
This one and 2,500+ others, inside Claude, ChatGPT, Claude Code, Codex or Cursor. Cancel anytime.