Data Analyst

About us:

Gushwork.ai builds AI Agents that help small and medium businesses automate their entire inbound marketing stack — from SEO and website content to reviews, blogs, and lead funnels. Our current focus is the manufacturing and industrial distributors industry.

In plain English: we’re replacing bloated marketing agencies with intelligent, always-on software.

Backed by Lightspeed, SIG, Beenext, and B Capital, Gushwork.ai is one of the fastest-growing AI companies globally.

In just a year, we’ve grown to $1.5M ARR and are scaling fast toward $15M ARR in the next 12 months — helping thousands of small businesses grow smarter, not harder.

Role Overview

Join as a data analyst at a rapidly scaling AI startup, where you'll build critical data infrastructure and drive strategic decisions across all business functions.

Key Responsibilities

• Transform chaos into clarity: Build on our data infrastructure - clean messy data from 10+ sources, create SOPs, and design repeatable automation patterns that scale
• Be the truth-teller: Own end-to-end analytics for product, finance, growth, and operations - from raw SQL queries to executive dashboards
• Accelerate velocity: Design self-serve analytics tools and documentation that empower every team to move faster with data
• Automate everything: Build systems that turn manual reporting into automated intelligence - freeing the team to focus on strategy, not spreadsheets
  
  
  

Required Qualifications

• 1-3 years in analytics, preferably at a high-growth startup or tech company.
• Strong understanding of relational databases.
• Advanced SQL skills - complex queries utilizing joins, CTEs, window functions.
• Data visualization expertise - transform numbers into compelling stories.
• Excel/Google Sheets power user with Python/R capabilities for advanced analysis.
• Experience leveraging AI tools and chatbots to accelerate analysis workflows.
  
  
  

Preferred Qualifications

• Experience with ETL pipelines or data engineering fundamentals
• Experience migrating and managing large datasets
• Hands-on experience with BI tools (Metabase, Tableau, Power BI, Looker, or equivalent)
  
  
  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.