Data Analyst Brag Document Example
Q1 2025
Built automated dashboards to track daily product usage patterns
Date: January 22, 2025
Company: Offline
Tags: Dashboards, Analytics, BI Tools, Medium
Metrics:
Description:
Created interactive dashboards that surfaced activation metrics, drop-off points, and retention signals. Reduced the need for ad-hoc reporting and improved operational visibility.
Cleaned and standardized key data sources to improve reporting accuracy
Date: February 14, 2025
Company: Offline
Tags: Data Cleaning, Governance, Quality, Small
Metrics:
Description:
Audited inconsistent tables, fixed formatting issues, and created validation rules. Improved confidence in performance reports used by leadership.
Analyzed onboarding funnel to uncover friction points
Date: March 6, 2025
Company: Offline
Tags: Funnel Analysis, Insights, Product Analytics, Medium
Metrics:
Description:
Mapped the full onboarding journey and highlighted user behaviors that correlated with drop-offs. Findings directly informed Q2 product improvements.
Q2 2025
Designed attribution models for the Workflow Automation launch
Date: April 18, 2025
Company: Offline
Tags: Attribution, Modeling, Marketing Analytics, Big
Metrics:
Description:
Created first-touch, multi-touch, and engagement-weighted attribution views. Helped Marketing understand which channels drove the highest-intent traffic.
Developed a forecasting model for quarterly revenue planning
Date: May 20, 2025
Company: Offline
Tags: Forecasting, Predictive Analytics, Strategy, Medium
Metrics:
Description:
Built a model incorporating historical performance, seasonality patterns, and pipeline progression. Provided visibility that enabled smarter budget decisions.
Created SQL templates for faster analysis across product teams
Date: June 10, 2025
Company: Offline
Tags: SQL, Tooling, Productivity, Small
Metrics:
Description:
Built reusable scripts for retention, activation, cohort, and usage analyses. Improved consistency in reporting and reduced repetitive queries.
Q3 2025
Implemented automated anomaly detection for KPIs
Date: July 16, 2025
Company: Offline
Tags: Monitoring, Automation, BI, Medium
Metrics:
Description:
Set up automated scripts to monitor core KPIs and flag unusual behavior. Prevented missed issues and reacted faster to traffic and usage changes.
Ran deep-dive analysis on retention drivers
Date: August 21, 2025
Company: Offline
Tags: Retention, Behavioral Analysis, Insights, Big
Metrics:
Description:
Conducted cohort analysis, segmentation, and usage-pattern mapping to identify what behaviors correlated with long-term product value.
Conducted segmentation project defining user behavior clusters
Date: September 9, 2025
Company: Offline
Tags: Segmentation, Clustering, Data Science, Medium
Metrics:
Description:
Used behavioral and firmographic data to identify clusters of high-value users. Provided concrete insights for Product, PMM, and Growth strategies.
Q4 2025
Owned analytics for the Q4 flagship product launch
Date: October 14, 2025
Company: Offline
Tags: Product Analytics, Launch, Insights, Big
Metrics:
Description:
Defined success metrics, built launch dashboards, and monitored real-time performance. Provided actionable insights to improve post-launch UX.
Improved data warehouse performance through query optimization
Date: November 13, 2025
Company: Offline
Tags: Data Engineering, SQL Optimization, Backend Analytics, Medium
Metrics:
Description:
Worked with engineering to optimize joins, indexing, and materialized views. Improved performance and reduced delays during peak reporting periods.
Developed 2026 analytics roadmap with research and data needs across teams
Date: December 3, 2025
Company: Offline
Tags: Strategy, Analytics Leadership, Roadmapping, Beyond
Metrics:
Description:
Outlined projects across instrumentation, modeling, BI enhancements, and cross-team education. Helped define long-term analytics priorities for Product, Marketing, and CS.
Kudos
“Your onboarding deep dive helped us make changes that users felt instantly.”
From: Priya Shah — Director of Product
Date: March 18, 2025
Impact: Directly contributed to activation improvements in Q2.
“The attribution models finally gave us clarity on what’s actually working.”
From: Alyssa Morgan — VP of Marketing
Date: April 30, 2025
Impact: Improved budget allocation and reduced wasted spend.
“Your retention analysis changed how we think about long-term value.”
From: Daniel Brooks — CEO
Date: August 31, 2025
Impact: Informed strategy and reshaped roadmap priorities.
“Thanks for optimizing the warehouse — our dashboards load twice as fast.”
From: Hannah Cole — VP of Product
Date: November 22, 2025
Impact: Improved reporting reliability and reduced engineering strain.
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