Built Dashboards → Killed 4 Hours/Wk of Manual Reporting: Analyst
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Three filler phrases gone ('insights to stakeholders', 'data-driven decision making', plural 'dashboards'). Replaced with the tool, the user count, the cadence, the time saved, and the financial decision that flowed from the analytics.
Shipped 4 Looker dashboards used weekly by 18 ops + finance leads, replacing 4 hours/week of manual CSV pulls and unlocking the £140k headcount reallocation.
What changed and why
- Analysts are screened on decisions caused, not dashboards built. Always end with the decision.
- Quote the user count + the cadence (18 users, weekly) — proves the dashboard reached the org, didn't sit in Slack.
- Time saved is the laziest analytics-value claim, BUT pairing it with a decision (headcount reallocation) makes it bite.
- Name the tool (Looker, Mode, Tableau, Hex) — analyst recruiters screen on stack literacy.
Recruiter perspective
“Named the tool, named the users, named the decision the data caused. This analyst delivered, not just queried.”
Related rewrites
Built Pipelines → Cut Snowflake £62k/Yr: Data Eng Bullets
Replaced 'scalable pipelines' (a phrase that means nothing in 2026) with the warehouse name, the £-saving, the pipeline count, the specific dbt patterns, and the warehouse-sizing detail. Data eng is graded on cost + reliability — quote both.
Built Models → +£1.1M ARR From Churn Model: Data Science Bullets
Three vague nouns ('predictive models', 'customer outcomes', 'business strategy') replaced with the algorithm class, AUC, the operational workflow it landed in, the save-rate delta, and the £ARR attribution. Data scientists who can quote ARR attribution outrank those who only quote AUC.
Ran Experiments → 2.4 Wins/Mo: Growth PM Bullets
Growth PMs are graded on cadence + win-rate + compounding impact. The rewrite quotes all three. Generic AI writes 'ran experiments' and stops — junior tier.