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Sample Data · Deterministic Analysis · No real candidate data

Senior Data Analyst Resume Analysis — Real AI Results

Growth-focused data analyst with 4 years experience targeting a Senior DA role at a high-growth B2C marketplace.

83
ATS Score
87
Career Match

Verdict

Apply Confidently

Growth Analytics Specialist

Resume Intelligence

Open
Growth Analytics Specialist4 years · Mid-Senior92% confidence

Sarah is an exceptionally strong match with documented impact across the exact skills GrowthMetrics requires: growth analytics, A/B experimentation, churn modeling, LTV, and BI tooling. The attribution model impact ($800K reallocated spend, 40% ROAS visibility improvement) and churn reduction (22%) are C-suite-ready narratives. The archetype is Growth Analytics Specialist with unusually high confidence — the resume directly mirrors the JD requirements language.

Active Skills

SQLPythonA/B TestingTableauAirflowdbtScikit-learnBigQuery

Career Strengths

  • A/B testing framework at production scale: 23 experiments shipped in 2023 with 8% average lift — exact match to JD experimentation requirement
  • Attribution modeling across 12 channels with measurable business impact ($800K budget reallocation) — directly maps to CMO partnership requirement
  • Churn prediction (22% reduction via cohort analysis + survival modeling) is the primary JD outcome metric — this is a direct hit

Risk Flags

  • Looker/Metabase not mentioned — JD lists them alongside Tableau; highlight Tableau proficiency explicitly in Skills header
  • Consumer internet / marketplace domain experience not explicit — GreenCart is e-commerce but B2B-facing; GrowthMetrics is B2C marketplace

Skill Investment Priorities

  1. 1Add Mixpanel or Amplitude to Skills — standard for B2C growth analytics roles; absence is a minor signal gap
  2. 2Reframe e-commerce experience as "consumer marketplace" in Summary — linguistic match to JD vocabulary
  3. 3Add power analysis and sample size calculations to A/B testing descriptions — growth-stage companies care about statistical rigor framing

ATS Optimization Score

Open
83
ATS Score

13 keywords matched · 5 missing

Matched Keywords (13)

SQL Python Pandas Scikit-learn A/B testing Tableau Airflow dbt BigQuery cohort analysis LTV churn attribution

Missing Keywords (5)

LookerMetabaseMixpanelproduct analyticsmarketplace

Optimization Priorities

  1. 1Add "Looker" to Skills section — directly named in JD requirements alongside Tableau
  2. 2Include "marketplace" or "consumer internet" once in Summary for domain keyword matching
  3. 3Mention power analysis in the A/B testing bullet — grows keyword surface for statistical rigor terms

Career Match Analysis

Open
87
Match Score

Apply Confidently

Sarah is an unusually strong candidate for this role. The combination of attribution modeling, A/B experimentation at scale, churn prediction, and Airflow/dbt ownership directly satisfies every major JD requirement. Two minor gaps (Looker, marketplace framing) are fixable with trivial resume edits. Recommend applying immediately.

Where You Win

  • A/B testing framework ownership with production scale (23 experiments) — exact JD requirement, rare candidate skill
  • Executive-level presentation experience (weekly to CMO equivalent, board presentations) — critical for "present to senior leadership" JD requirement
  • Full data stack coverage: ingestion (Fivetran), transformation (dbt/Airflow), BI (Tableau), experimentation, and ML modeling

Addressable Gaps

  • Looker not on resume — listed in JD requirements; Tableau is equivalent but explicit Looker mention would strengthen
  • Consumer marketplace experience is implied (e-commerce) but not stated — GrowthMetrics is B2C marketplace, slightly different dynamics
  • LTV modeling not explicitly quantified — mentioned in JD as a core skill; demand forecasting is adjacent but not direct

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