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DefaultUse Ledger
Priya Raghavan
Senior Data Analyst
priya.raghavan@example.com·(415) 555-0182·San Francisco, CAlinkedin.com/in/priyaraghavan
SUMMARY
Data analyst with 7 years turning ambiguous business questions into decisions, across marketplace and subscription businesses.
EXPERIENCE
Senior Data AnalystMar 2021 – Present
Northwind Commerce · San Francisco
•Identified the checkout drop-off driving 23% of cart abandonment, informing a redesign that recovered $1.4M in annualized revenue
•Built the first cohort analysis in dbt and Looker, cutting monthly reporting time from 32 hours to 4
•Ran 14 A/B tests on pricing and merchandising; 5 shipped, producing a 7.2% lift in conversion rate
Data AnalystJun 2018 – Feb 2021
Bellwether Health · Remote
•Segmented 240,000 patients by engagement, uncovering a churn driver worth $600K in retained subscriptions
•Migrated legacy SQL reporting to BigQuery, reducing query costs by 38%
PROJECTS
Retention Explorergithub.com/example/retention-explorer
Open-source cohort visualisation used by 400+ analysts.
•Cut cohort query time from 40s to under 2s by precomputing weekly rollups
EDUCATION
B.S., StatisticsSep 2014 – May 2018
University of Michigan
SKILLS
AnalysisSQL, Python, pandas, A/B testing
Toolingdbt, Looker, BigQuery, Tableau
CERTIFICATIONS
Google Data Analytics · Google · 2020
Ledger
The default. Reads as a well-set business document.
Best for: Almost everyone
Fits moreUse Register
Priya Raghavan
Senior Data Analyst
priya.raghavan@example.com·(415) 555-0182·San Francisco, CAlinkedin.com/in/priyaraghavan
SUMMARY
Data analyst with 7 years turning ambiguous business questions into decisions, across marketplace and subscription businesses.
EXPERIENCE
Senior Data Analyst · Northwind Commerce · San FranciscoMar 2021 – Present
–Identified the checkout drop-off driving 23% of cart abandonment, informing a redesign that recovered $1.4M in annualized revenue
–Built the first cohort analysis in dbt and Looker, cutting monthly reporting time from 32 hours to 4
–Ran 14 A/B tests on pricing and merchandising; 5 shipped, producing a 7.2% lift in conversion rate
Data Analyst · Bellwether Health · RemoteJun 2018 – Feb 2021
–Segmented 240,000 patients by engagement, uncovering a churn driver worth $600K in retained subscriptions
–Migrated legacy SQL reporting to BigQuery, reducing query costs by 38%
PROJECTS
Retention Explorer · Open-source cohort visualisation used by 400+ analysts.github.com/example/retention-explorer
–Cut cohort query time from 40s to under 2s by precomputing weekly rollups
EDUCATION
B.S., Statistics · University of MichiganSep 2014 – May 2018
SKILLS
AnalysisSQL, Python, pandas, A/B testing
Toolingdbt, Looker, BigQuery, Tableau
CERTIFICATIONS
Google Data Analytics · Google · 2020
Register
Dense. For long histories that keep spilling onto a second page.
Best for: Long careers
SerifUse Broadsheet
Priya Raghavan
Senior Data Analyst
priya.raghavan@example.com·(415) 555-0182·San Francisco, CAlinkedin.com/in/priyaraghavan
Summary
Data analyst with 7 years turning ambiguous business questions into decisions, across marketplace and subscription businesses.
Experience
Mar 2021 – Present
Senior Data Analyst
Northwind Commerce · San Francisco
•Identified the checkout drop-off driving 23% of cart abandonment, informing a redesign that recovered $1.4M in annualized revenue
•Built the first cohort analysis in dbt and Looker, cutting monthly reporting time from 32 hours to 4
•Ran 14 A/B tests on pricing and merchandising; 5 shipped, producing a 7.2% lift in conversion rate
Jun 2018 – Feb 2021
Data Analyst
Bellwether Health · Remote
•Segmented 240,000 patients by engagement, uncovering a churn driver worth $600K in retained subscriptions
•Migrated legacy SQL reporting to BigQuery, reducing query costs by 38%
Projects
github.com/example/retention-explorer
Retention Explorer
Open-source cohort visualisation used by 400+ analysts.
•Cut cohort query time from 40s to under 2s by precomputing weekly rollups
Education
Sep 2014 – May 2018
B.S., Statistics
University of Michigan
Skills
AnalysisSQL, Python, pandas, A/B testing
Toolingdbt, Looker, BigQuery, Tableau
Certifications
Google Data Analytics · Google · 2020
Broadsheet
Serif headings. For research, policy, law and editorial.
Best for: Research, law, policy
AiryUse Plate
Priya Raghavan
Senior Data Analyst
priya.raghavan@example.com·(415) 555-0182·San Francisco, CAlinkedin.com/in/priyaraghavan
Summary
Data analyst with 7 years turning ambiguous business questions into decisions, across marketplace and subscription businesses.
Experience
Senior Data AnalystMar 2021 – Present
Northwind Commerce · San Francisco
›Identified the checkout drop-off driving 23% of cart abandonment, informing a redesign that recovered $1.4M in annualized revenue
›Built the first cohort analysis in dbt and Looker, cutting monthly reporting time from 32 hours to 4
›Ran 14 A/B tests on pricing and merchandising; 5 shipped, producing a 7.2% lift in conversion rate
Data AnalystJun 2018 – Feb 2021
Bellwether Health · Remote
›Segmented 240,000 patients by engagement, uncovering a churn driver worth $600K in retained subscriptions
›Migrated legacy SQL reporting to BigQuery, reducing query costs by 38%
Projects
Retention Explorergithub.com/example/retention-explorer
Open-source cohort visualisation used by 400+ analysts.
›Cut cohort query time from 40s to under 2s by precomputing weekly rollups
Education
B.S., StatisticsSep 2014 – May 2018
University of Michigan
Skills
AnalysisSQL, Python, pandas, A/B testing
Toolingdbt, Looker, BigQuery, Tableau
Certifications
Google Data Analytics · Google · 2020
Plate
Sparse. Makes a short resume look deliberate rather than thin.
Best for: Early career
Which format fits you?
Chronological
Most recent job first. The default for a steady work history, and the one recruiters expect.
Skills-first
Leads with what you can do. For students, career changers, or a history with gaps.
Hybrid
A strong skills block, then experience. For mid-career moves where both matter.
Any template can do any of these. Reorder your sections on the Finalize screen.