Data Analyst

1 week ago

Bengaluru, Karnataka, India Gushwork Full time ₹ 9,00,000 - ₹ 12,00,000 per year

About us:

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, 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)

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