"Enhanced data quality processes." Cool—what does that mean? A recruiter reading your resume has six seconds to decide if you move forward. "Enhanced" tells them you touched something and it got better, maybe. It doesn't tell them what you built, which tool you used, or whether the delta was 2% or 200%.
Five rewrites that actually say something
Weak: Enhanced monthly sales reporting for stakeholders
Strong: Rebuilt monthly sales dashboards in Looker, consolidating 14 Snowflake tables into a single dbt model and cutting exec query time from 6 minutes to 9 seconds
Why it works: Names the tool stack, the scope (14 tables), and a time delta execs care about.
Weak: Enhanced customer segmentation accuracy
Strong: Migrated customer segmentation from manual Excel cohorts to a BigQuery + dbt pipeline, increasing Marketing's targeting precision by 34% (measured by email CTR lift across 12 campaigns)
Why it works: Specifies the "before" state (manual Excel), the "after" state (automated pipeline), the tool (BigQuery + dbt), and a measurable outcome tied to a business metric.
Weak: Enhanced SQL query performance across analytics workloads
Strong: Refactored 22 Redshift queries responsible for nightly aggregations, reducing p95 runtime from 18min to 3min and eliminating 4 downstream pipeline failures per week
Why it works: Quantifies the workload (22 queries), the improvement (18min → 3min at p95), and the business impact (fewer pipeline failures).
Weak: Enhanced A/B test tracking for product team
Strong: Designed a Segment + Amplitude event taxonomy for product experiments, enabling PM team to ship 9 A/B tests in Q3 (up from 2 in Q2) with statistically significant cohorts of 50K+ users
Why it works: Shows the tooling (Segment, Amplitude), the outcome (test velocity quadrupled), and the rigor (stat-sig cohorts at scale).
Weak: Enhanced data pipeline reliability
Strong: Implemented dbt test coverage across 38 core models, catching 6 schema drift issues before they hit production and reducing data-quality Slack escalations by 71% over 8 weeks
Why it works: Names the tool (dbt tests), scope (38 models), the failure mode prevented (schema drift), and a team-health metric (escalations down 71%).
The full list — 15 synonyms
| Synonym | What it implies | One-line bullet |
|---|---|---|
| Accelerated | Speed improvement, cycle-time reduction | Accelerated monthly close cycle from 9 days to 4 by automating AR reconciliation in NetSuite |
| Optimized | Efficiency or cost gains | Optimized BigQuery spend by partitioning 12 high-cardinality tables, cutting monthly costs 29% |
| Rebuilt | Ground-up redesign | Rebuilt churn-forecasting model in Python (scikit-learn), lifting 6-month AUC from 0.68 to 0.81 |
| Streamlined | Removed steps, simplified process | Streamlined weekly KPI reporting by consolidating 5 CSVs into one Looker dashboard |
| Consolidated | Combined fragmented sources or workflows | Consolidated 8 regional Excel reports into a single Snowflake + dbt pipeline |
| Automated | Replaced manual work with code or tooling | Automated daily cohort refresh in dbt, saving analysts 6 hours/week of manual SQL |
| Refactored | Rewrote existing code or queries for performance | Refactored Redshift ETL job, cutting runtime from 42min to 11min and freeing 8 GB cluster memory |
| Migrated | Moved data or process to new platform | Migrated attribution reporting from Google Sheets to Looker, enabling real-time campaign ROI |
| Standardized | Imposed consistency, naming, or schema | Standardized event naming across 14 product surfaces, reducing duplicate Amplitude events by 60% |
| Expanded | Increased coverage, scope, or scale | Expanded sales funnel dashboards to cover 3 new regions (EMEA, APAC, LATAM) and 22 new metrics |
| Redesigned | Changed structure or logic with intent | Redesigned user segmentation SQL to support Marketing's new 7-tier lifecycle model |
| Centralized | Brought disparate systems into one source | Centralized customer churn metrics in a single dbt mart, replacing 4 conflicting Slack queries |
| Improved | General betterment (use only with a %) | Improved forecast MAPE from 18% to 11% by adding 6 new lag features to the XGBoost model |
| Scaled | Made it work at higher volume or wider usage | Scaled A/B test pipeline to handle 200K events/hour (up from 30K) by switching to Kafka ingestion |
| Refined | Iterative tuning or calibration | Refined LTV model feature set after 4 ablation runs, lifting validation R² from 0.74 to 0.83 |
When 'enhanced' is the right word
If the job description uses "enhanced" verbatim, mirror it for ATS keyword matching—but follow it immediately with a quantified outcome so a human recruiter doesn't skip the bullet.
When you genuinely improved something incrementally over time without a single defining project. Example: "Enhanced SQL style guide adherence across analytics team through 12 months of code-review feedback" is honest if there's no one-shot project to name.
When the delta is small but the context matters. "Enhanced data dictionary coverage from 82% to 94% of prod tables" is fine if your audience cares about documentation completeness.
Resume length: when verbs add bulk vs signal
Recruiters scan your resume in six to eight seconds. Every line costs you attention budget. "Enhanced" is a four-syllable placeholder that forces the recruiter to read the rest of the bullet to figure out what you actually did. Stronger verbs—automated, rebuilt, migrated—frontload the action so the recruiter knows in the first two words whether the bullet is relevant. Weak verbs don't just waste space; they burn the recruiter's working memory before you've delivered signal. If your resume is creeping past one page and you're trimming bullets, cut the ones that open with hedge words first. A half-page resume with six concrete, number-heavy bullets will outperform a full page of "enhanced this, improved that" filler every time. We see this in Sorce's AI cover-letter engine: the bullets it pulls from user resumes to expand in cover letters are the ones with a verb-noun-number triple in the first eight words. Choosing the right skills matters, but the verb is what makes the bullet scannable or skippable.
Sorce auto-tailors your resume bullets per application. 40 free swipes/day.
For more: endorsed synonym, engineered synonym, established synonym, examined synonym, focused synonym
Frequently Asked Questions
- What's a stronger word than 'enhanced' for a resume?
- Use verbs that commit to the type of improvement: 'accelerated' for speed gains, 'optimized' for efficiency, 'rebuilt' for ground-up work. Pair with metrics—'enhanced reporting' is vague; 'rebuilt Looker dashboards, cutting exec query time from 8min to 12sec' is hireable.
- Why do recruiters dislike 'enhanced' on resumes?
- It's a hedge word. 'Enhanced' dodges the question of what you actually did and by how much. Recruiters scan for outcomes and tools; 'enhanced' delivers neither without heavy lifting from the rest of the bullet.
- Can I use 'enhanced' on a data analyst resume?
- Only if the job description uses it verbatim for ATS matching. Even then, follow it immediately with a number or tool. Better: replace it with a verb that names the type of enhancement—streamlined, consolidated, migrated, automated.