Data Analyst
Resume Template

A free Data Analyst resume, pre-filled and ready to edit. Replace the highlighted placeholders (warehouse, BI tools, languages, KPI definitions, experiment counts, metrics) using the side panel on the left, and the resume rewrites itself as you type. Save as PDF when you're done.

Emmanuel Gendre - Former Google Recruiter and Tech Resume Writer

Authored by

Emmanuel Gendre

Tech Resume Writer

Last updated: May 9th, 2026 | Free, ATS-friendly, no signup

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Interactive resume template generator

Interactive Data Analyst Resume Template

Edit the side panel. The resume rewrites itself live. Save as PDF when you're done.

Edits update live as you type. Toggle Edit to rewrite paper text directly.

Edit mode is on. Click anywhere on the resume to rewrite text. Side-panel placeholders still update live.

Priya Shah Data Analyst

Chicago, IL • dataanalyst@gmail.com • +1 3122-2222

Profile Summary

  • Data Analyst with 6 years of experience designing and operating business analytics platforms across marketplace operations, podcast growth, and consumer subscriptions, specializing in KPI design, A/B test readouts, and executive-facing data storytelling.
  • Solid technical background across warehouses (Snowflake, BigQuery), BI tools (Tableau, Looker), languages (SQL, Python), statistics (R), and notebooks (Hex) with strong fundamentals in experiment design, causal reasoning, and dimensional modeling.
  • Deep expertise in KPI ownership, experimentation rigor, self-service data culture, and executive-facing storytelling, leveraging methodologies such as weekly business reviews and A/B test readouts to drive actionable, well-documented, and trustworthy analytics.
  • Engaged collaborator working cross-functionally with Product, Operations, and Finance teams in Agile environments, contributing to leadership reviews, launch postmortems, and metric-definition workshops with a pragmatic, ownership-first mindset.
  • Emerging leader who shares technical excellence and fosters a culture of metric integrity and documentation discipline through PR reviews and runbooks, while leading analytics guild sessions and authoring widely adopted SQL-and-dashboard templates.

Technical Skills

Data Warehouses:
Snowflake, BigQuery, Redshift, Databricks
BI & Visualization:
Tableau, Looker, Mode, Power BI, Metabase
Languages & Querying:
SQL, Python (pandas, NumPy), R, Bash
Statistics & Experimentation:
A/B testing, CUPED, statsmodels, SciPy, causal inference
Modeling & Semantic Layer:
dbt, LookML, dimensional modeling, metric layer
ETL & Pipelines:
Airflow, Fivetran, Hightouch, dbt Cloud
Notebooks & Discovery:
Hex, Jupyter, Deepnote, Quarto
Communication & Documentation:
Executive briefings, board materials, RFCs, Atlan, Notion

Education

Northwestern University B.S. in Statistics
Evanston, IL • Sep 2016 - Jun 2020

Work Experience

DoorDash Senior Data Analyst
Chicago, IL • Sep 2022 - Present
  • Lead business analytics for the DoorDash Marketplace team, supporting 35M+ active consumers and framing high-stakes questions across launch evaluation, funnel optimization, and market expansion for 8 product surfaces in partnership with Product, Operations, and Finance leadership.
  • Wrote production-grade SQL on Snowflake powering 180+ recurring queries, refactoring slow joins around window functions, CTEs, and incremental dbt materializations to cut average runtime from 48s to 6s and unblock real-time stakeholder reporting.
  • Built and maintained 22 Tableau and Looker dashboards for executive, product, and ops audiences, layering drill-down filters, derived calculations, and explainer tooltips that reached 1,400+ weekly active users and lifted self-service adoption from 38% to 72%.
  • Defined and documented 24 core business metrics including DAU/MAU, retention curves, and GOV composition, governed through a dbt metric layer and a company-wide data dictionary, cutting cross-team metric drift across 4 leadership reviews per quarter.
  • Led 8 deep-dive analyses on top-of-funnel anomalies including a 22% drop in iOS new-user activation, isolating the cause to a routing-flag regression through cohort comparisons and shipping a fix that recovered $1.8M in projected ARR.
  • Supported 31 A/B tests for the Pricing and Subscription teams, designing experiment power and stratification, applying CUPED variance reduction, and producing causal readouts that gated 9 experiment-driven launches without false-positive shipped wins.
  • Authored 48 strategic narratives including board pre-reads, launch postmortems, and quarterly business retrospectives for executive leadership, translating cohort and funnel data into recommendations that shaped 3 multi-quarter strategic bets.
Spotify Data Analyst
New York, NY • Jul 2019 - Aug 2022
  • Profiled 120+ datasets across the Streaming Insights warehouse, hunting for distribution skews, null-rate spikes, and schema drift, and surfaced 15 upstream data-quality issues that blocked downstream model training.
  • Owned weekly and monthly reporting for the Podcast Growth team, covering listener cohort retention, show-level engagement, and creator-tier conversion across 120+ recurring reports that anchored the team's planning rituals over 2 years.
  • Built the team's self-service enablement program around metric definitions, column-level lineage in Atlan, and weekly stakeholder office hours, cutting analyst-on-call requests by 62% and lifting stakeholder NPS from 34 to 78.
  • Worked closely with Product, Marketing, and Operations teams across 4 product surfaces to negotiate metric definitions, launch quality bars, and dashboard ownership, authoring 6 analytics RFCs that shaped the org's data culture and onboarded 8 new analysts.

Done editing? Download as a real, vector PDF. Selectable text, ATS-friendly, US Letter format.

About this template

A Data Analyst
Resume Template, by a Tech CV Writer.

Quick frame: 14 years recruiting in tech, plenty of those at Google. I work as a tech CV writer for IT and engineering candidates only, and Data Analyst rewrites are a steady part of my pipeline week to week. The takeaway: I read these resumes from the screening side, not the candidate's. Useful information when you're trying to figure out which Data Analyst CVs actually pass the recruiter pass.

Most clients hire me for the full custom rewrite. We dig into the questions you actually framed, the dashboards stakeholders adopted, the experiments you supported, the deep-dives that changed a decision. Sometimes that's overkill. If a clean skeleton with analytics-shaped placeholders is what's missing, this template fills the gap. ATS-clean, free, no signup. Have at it.

How it works

How to use this template
to write a Data Analyst resume

The structure here was written by a former Google recruiter. The placeholders force you to be specific exactly where it matters: tools, methods, business outcomes, and metrics.

Strong Data Analyst bullets aren't written in a single pass. They build through five stages. Stage one names the task. Stages two and three add the tools you used and the platforms they ran on. Stage four shows the analytical method behind the work. Stage five quantifies the result. Bullets that complete stage five are the ones a hiring manager flags for the phone screen. The complete framework lives in How to Write Bullet Points for Tech Resumes.

  1. 01 Task What you did
  2. 02 Tools SQL, Python
  3. 03 Platforms Snowflake, Tableau
  4. 04 Method KPI design, A/B
  5. 05 Metric Quantified impact

This template hard-wires the five stages into your bullets so the framework runs in the background. The side panel maps clean: language and stats picks fill stage 2, warehouse and BI picks fill stage 3, the method-pattern fields fill stage 4, the metric inputs land at stage 5. The sentence skeletons cover stage 1. Why this matters: you only need to drop in real tools and real numbers. The structure handles the rest, and the resume reads at stage 5.

  1. Pick your stack

    Tap a chip to swap Snowflake for BigQuery or Redshift, Tableau for Power BI or Mode, R for Python. Every mention updates at once.

  2. Drop in your numbers

    Dashboard adoption, query runtime, A/B test count, deep-dive count, NPS, stakeholder reach. Don't have yours yet? The defaults pass for a senior Data Analyst resume.

  3. Save as PDF

    Click Download. The page generates a real vector PDF with selectable text and clean US Letter formatting. ATS-parsable.

Resume Sample

Data Analyst Resume Examples

Three sample data analyst resumes at different career stages: a junior career changer from financial analysis, a senior IC on a retail-marketplace analytics team, and a lead analyst at a Fortune 100 media company. Use them as inspiration when filling the template above.

Entry-level Data Analyst Resume Sample 2 years

Junior Data Analyst Resume Example

Career changer from junior financial analyst. SQL + Tableau on retail-marketplace dashboards under a senior analyst mentor.

Jamal Wright

Junior Data Analyst

New York, NY · jamal.wright@gmail.com · +1 212-555-0164 · linkedin.com/in/jamalwright

Profile Summary
  • Junior Data Analyst with 2 years of experience supporting retail-marketplace reporting and dashboarding, transitioning from a junior financial analyst background with a strong foundation in Excel modeling and business-question framing.
  • Hands-on coverage across SQL (Snowflake), Tableau, basic Python (pandas, openpyxl), Excel (PivotTables, Power Query), and intro Looker and dbt, with growing fluency in A/B test reading.
  • Eager collaborator working with Marketing, Merchandising, and Finance partners in weekly business-review cadences, contributing to dashboard reviews and ad hoc deep-dives under senior analyst mentorship.
  • Career changer bringing 3 years of financial-analyst experience at a Fortune-100 bank, with a numbers-first instinct for variance analysis, narrative building, and stakeholder-ready written summaries.
Technical Skills
SQL & Warehousing:
SQL (Snowflake), CTEs, window functions, joins, basic query optimization
BI & Dashboarding:
Tableau, basic Looker, Google Sheets, dashboard design, KPI tiles
Python & Spreadsheets:
Python (pandas, openpyxl), Excel (PivotTables, Power Query, VLOOKUP/XLOOKUP)
Modeling & Transformation:
dbt (intro), staging models, basic source tests, Git for SQL
Statistics & Experimentation:
Basic statistics, A/B test reading, descriptive analytics, segmentation
Tools:
Jira, Confluence, Slack, GitHub, Mode (intro)
Education
General Assembly Data Analytics Immersive New York, NY · Jan 2023 - Apr 2023
CUNY Baruch College BBA in Finance New York, NY · Sep 2016 - May 2020
Work Experience
Warby Parker Junior Data Analyst New York, NY · Aug 2023 - Present
  • Built and maintained 12 Tableau dashboards for the Marketing and Retail Ops teams in Snowflake, covering site funnel, store traffic, and promotion-lift reporting under senior analyst review.
  • Wrote 40-60 SQL queries per sprint against the retail data model, supporting 2 stakeholder teams with ad hoc deep-dives on category performance and promo response.
  • Contributed 4 recurring slides to the monthly business review, including lens cleanliness on attach rate and a regional store-mix breakdown for the Retail VP.
  • Shipped 3 dbt staging models under senior review, adding documented tests and improving downstream Tableau refresh reliability on the marketing-attribution mart.
  • Sat in on 6 A/B tests with the senior experimentation analyst, learning hypothesis framing, significance reading, and ramp/holdback decision logging.
Bank of America Junior Financial Analyst Charlotte, NC · Jun 2020 - Jul 2023
  • Owned the monthly P&L variance pack for a consumer-banking sub-LOB, modeling 30+ line items in Excel and writing the executive commentary.
  • Built 8 recurring Excel + Power Query reports consumed by 3 directors, sourcing from Teradata extracts and the firm's Oracle BI environment.
  • Partnered with FP&A on the annual planning cycle, owning the data prep for 14 cost-center submissions across 2 product lines.

Senior Data Analyst Resume Sample 6 years

Senior Data Analyst Resume Example

Senior IC on a retail-marketplace analytics team. Owns the promotions and category-performance reporting stack.

Cintia Mendes

Senior Data Analyst

Boston, MA · cintia.mendes@gmail.com · +1 617-555-0173 · linkedin.com/in/cintiamendes

Profile Summary
  • Senior Data Analyst with 6 years of experience owning promotions, category-performance, and customer-journey analytics in retail and travel marketplaces, specializing in experimentation, cohort analysis, and self-service reporting.
  • Hands-on coverage across SQL (Snowflake, BigQuery), Tableau, Looker, dbt, Python (pandas, scipy, lifelines), Mode, Hex, and Amplitude, with working knowledge of Airflow.
  • Deep expertise in A/B testing and significance testing, cohort and retention analysis, and customer-journey funnels, authoring monthly business reviews for category leadership.
  • Engaged cross-functional partner with 2 product managers and 1 director, leading quarterly category deep-dives and shaping the experimentation roadmap.
  • Emerging mentor to 3 junior analysts, running SQL office hours and contributing to the team's dbt style guide and dashboard-review checklist.
Technical Skills
SQL & Warehousing:
SQL (Snowflake, BigQuery), advanced window functions, query optimization, partitioning
BI & Dashboarding:
Tableau, Looker, Mode, Hex, dashboard governance, KPI standardization
Modeling & Transformation:
dbt, dbt tests, exposures, semantic-layer patterns, Airflow (basic)
Python & Stats:
pandas, scipy, statsmodels, lifelines, cohort analysis, survival analysis
Experimentation:
A/B testing, significance testing, multi-armed testing, sample-size planning
Product Analytics:
Amplitude, customer-journey analytics, funnel and retention analysis
Collaboration:
Mentorship, monthly business reviews, stakeholder management, Jira, Confluence
Education
Boston University B.S. in Statistics Boston, MA · Sep 2014 - May 2018
Work Experience
Wayfair Senior Data Analyst Boston, MA · May 2022 - Present
  • Own the promotions and category-performance reporting stack, maintaining 32 Tableau and Looker dashboards in Snowflake + dbt for Merchandising and Marketing.
  • Designed and analyzed 16 A/B tests over the past year on promo mechanics and PDP layout, partnering with the experimentation platform team on scipy + statsmodels-based significance reads.
  • Authored the monthly category business review for the Home Office and Bedroom verticals, presenting to a director and 2 product managers with a cohort and retention lens.
  • Shipped 14 dbt models in the marketing-attribution mart, including first-class promo-event tracking and a customer-journey-stage dimension consumed by 6 downstream dashboards.
  • Mentored 3 junior analysts through weekly SQL pairing and code review, and authored the team's dbt style guide and dashboard-review checklist.
  • Partnered with the data-engineering team on a Looker semantic-layer consolidation, retiring 9 legacy explores and cutting stakeholder-reported metric mismatches by 70%.
TripAdvisor Data Analyst Needham, MA · Jul 2018 - Apr 2022
  • Built and maintained 20+ Tableau dashboards for the Hotels and Experiences product teams in BigQuery, covering search funnel, conversion, and review-quality KPIs.
  • Ran 22 A/B tests across 3 years on hotel sort, filter UX, and pricing surfaces, contributing to 7 shipped launches with measurable revenue uplift.
  • Built a customer-journey funnel model in dbt + Python (lifelines) used by Product to size retention interventions across 4 segments.
  • Owned the migration of 30 legacy SQL reports from Mode to Looker, standardizing 12 core metrics and retiring 8 conflicting definitions.

Lead Data Analyst Resume Sample 10 years

Lead Data Analyst Resume Example

Lead analyst on a Fortune-100 media-cable platform. Manages 4 analysts and the leadership-reporting cadence.

Andrei Popov

Lead Data Analyst

Philadelphia, PA · andrei.popov@gmail.com · +1 215-555-0192 · linkedin.com/in/andreipopov

Profile Summary
  • Lead Data Analyst with 10 years of experience driving analytics across Fortune-100 media-cable and asset-management platforms, specializing in exec-level reporting, BI platform strategy, and analyst team leadership.
  • Hands-on coverage across SQL (Snowflake, Teradata), dbt, Airflow, Tableau Server administration, Looker (model-level), and Python (pandas, scikit-learn) for analytics work.
  • Deep expertise in exec-deck frameworks, OKR cascading, FP&A integration, and BI roadmap planning, partnering with 8 product VPs on analytics priorities.
  • Cross-functional leader chairing the BI steering committee with Engineering, Finance, and Product Ops, and owning vendor management for Tableau Cloud and Hex contracts.
  • People manager for 4 analysts, running quarterly career reviews and authoring the org's analyst leveling rubric and onboarding curriculum.
Technical Skills
SQL & Warehousing:
SQL (Snowflake, Teradata), advanced tuning, partitioning, cost optimization
Modeling & Orchestration:
dbt, Airflow, semantic-layer governance, BI platform migration
BI & Visualization:
Tableau Server administration, Looker (model-level), Hex, exec-deck frameworks
Python & Analytics:
pandas, scikit-learn (for analytics), time-series, forecasting
Strategy & Planning:
OKR cascading, FP&A integration, BI roadmap planning, analyst leveling
Vendor & Governance:
Tableau Cloud, Hex, vendor management, license forecasting, contract negotiation
Leadership:
Steering committees, exec-board reporting, hiring loops, mentorship, performance reviews
Education
Pennsylvania State University B.S. in Statistics University Park, PA · Sep 2010 - May 2014
Work Experience
Comcast Lead Data Analyst Philadelphia, PA · Mar 2021 - Present
  • Lead analytics for the Connectivity & Platforms division, owning reporting for 8 product VPs and managing a team of 4 analysts across subscriber, network, and content KPIs.
  • Drove a multi-year BI platform migration from on-prem Tableau Server + Teradata to Tableau Cloud + Snowflake + dbt, retiring 180 legacy workbooks over 22 months.
  • Cut time-to-insight by 70% on exec-board KPIs by rebuilding the leadership-reporting layer in dbt with a governed semantic model and refreshed Airflow orchestration.
  • Chair the BI steering committee with Engineering, Finance, and Product Ops, defining the annual BI roadmap and OKR cascade across 14 product squads.
  • Built the analyst leveling rubric and onboarding curriculum, ran 3 hiring loops as senior interviewer, and presented quarterly to the divisional executive board.
  • Owns vendor management for Tableau Cloud and Hex, including license forecasting, contract negotiation, and renewals across a $1.4M annual BI budget.
Vanguard Senior Data Analyst Malvern, PA · Jul 2014 - Feb 2021
  • Owned the Personal Investor analytics stack, building 40+ Tableau dashboards in Teradata for product, marketing, and FP&A partners.
  • Built the firm's first customer-journey attribution model in Python + SQL, adopted by 3 marketing pods and credited with a 12% lift in retirement-account funding rate.
  • Mentored 5 analysts, ran the bi-weekly SQL craft session, and contributed to the firm's analyst hiring loop as senior interviewer.
  • Led the migration of 80 legacy SAS reports to Tableau + Teradata over 18 months, retiring a $240k/year SAS license footprint.

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Frequently asked

Your Questions about the Data Analyst Resume Template, Answered

Yes, completely free. No signup, no email gate, no premium tier hiding behind it. Open the template, fill in your details, save the PDF, you're done.

Yes. The exported PDF is single-column with the section headers ATS systems read by default (Profile Summary, Technical Skills, Education, Work Experience), no tables, no images, no multi-column layouts. Workday, Greenhouse, and iCIMS handle it cleanly. Drop the export into our ATS Checker after if you want a second look.

You can. Toggle Edit at the top of the resume preview, then click into any sentence and rewrite it directly. The side-panel placeholders keep updating; the rest of the text is plain editable copy.

Click Download. Your browser builds the PDF on the spot, no print dialog, no signup, no server in the loop. The output is real vector text on US Letter, parsed by ATS systems the same way they parse any clean resume export.

Yes. The defaults lean Snowflake + Tableau + Looker because that's the most common 2026 Data Analyst JD pattern, but every reference is a placeholder. Swap Snowflake for BigQuery, Redshift, or Databricks. Swap Tableau for Power BI, Mode, Metabase, or Sigma. Swap Looker for Hex or Omni. The side panel updates the resume across every mention.

Data Analyst leans toward stakeholder-facing work: framing business questions, writing SQL, building dashboards, defining metrics, and translating findings into recommendations. The Data Engineer template leans toward pipelines, warehouses, and data infrastructure. The Data Scientist template leans toward modeling, experimentation, and statistical inference. If your day is partnering with Product or Operations and answering questions in SQL plus dashboards, pick this one. If you're building the pipelines that feed those dashboards, the Data Engineer template fits better. If you're modeling causal effects or training ML, Data Scientist is the right home.

No. Hiring managers screen on substance: the questions you actually framed, the SQL you wrote, the dashboards stakeholders adopted, the experiments you supported, the deep-dives that changed a decision. Layout origin is not on the rubric. What does cost interviews is a template padded with vague analytics-speak, which this one is structured to prevent. The skeleton came from a former Google recruiter; the substance is yours.

Why trust this template

Emmanuel Gendre, former Google recruiter and tech resume writer

Emmanuel Gendre

Former Google recruiter · Tech resume writer

I built this Data Analyst template from the patterns I saw work, not from generic advice. Below is the data behind every bullet, skills line, and metric placeholder.

  • Experience 1,000+ Data Analyst resumes screened across marketplace, consumer-internet, and SaaS stacks during my Google recruiter years and at TechieCV. The Profile Summary and Skills sections mirror what survived the 6-second screen.
  • Expertise Bullets modeled on senior offers. The DoorDash section is structured the way Senior and Lead Data Analysts write their experience when they land FAANG and large-scaleup interviews: business-question framing tied to executive surfaces, KPI ownership with documented governance, dashboard-adoption metrics, A/B test rigor, and deep-dive recoveries measured in dollars.
  • Trust Stack reflects the 2026 hiring bar. Snowflake + dbt + Tableau + Looker + Hex is what hiring managers expect today; suggestion chips cover realistic alternatives (BigQuery, Redshift, Databricks, Power BI, Mode, Metabase, Sigma) so you can match your real toolchain without losing keyword fit.
Read my full story →

More resources

Other Data Analyst Resume Resources

Resume Guide

Data Analyst Resume Guide

The full walkthrough from format to skills, by an ex-Google recruiter.

Skills

Data Analyst Resume Skills & Keywords

The exact stack and ATS keywords that pass the screen in 2026.

Resume Metrics

Data Analyst Resume Metrics

Which numbers to put on your resume: benchmarks for what's average, good, and great.

Tool

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Disclaimer. This template is a starting point. Defaults are illustrative; replace every metric and tool with values that reflect your real work. Tailor wording to each job description.