Product Analyst

3 - 5 years

10 - 12 Lacs

Posted:20 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About Spyne


At

Spyne

, we are transforming how cars are marketed and sold with cutting-edge Generative AI. What started as a bold idea using AI-powered visuals to help auto dealers sell faster online has now evolved into a full-fledged, AI-first automotive retail ecosystem.

Backed by $16M in Series A funding from Accel, Vertex Ventures, and other top investors, we re scaling at breakneck speed:
  • Launched industry-first AI-powered Image, Video & 360 solutions for Automotive dealers
  • Launching Gen AI powered Automotive Retail Suite to power Inventory, Marketing, CRM for dealers
  • Onboarded 1500+ dealers across US, EU and other key markets in the past 2 years of launch
  • Gearing up to onboard 10K+ dealers across global market of 200K+ dealers
  • 150+ members team with near equal split on R&D and GTM

Learn more about our products:
  • Spyne AI Products - StudioAI , RetailAI
  • Series A Announcement - CNBC-TV18 , Yourstory

About the Role

We are looking for a Product/Data Analyst who is passionate about turning data into high-quality insights. You will work closely with our Product, GTM, Customer Success, and Leadership teams to diagnose user behavior, optimize product experiences, and support key strategic decisions.
A core requirement for this role is strong hands-on experience with GCA (Google Cloud Analytics ecosystem BigQuery, GA4, GCP analytics tools).
This is a high-ownership role where your insights will directly influence product roadmap, user experience, and business growth.

What You Will Do

  • Product Analytics

  • Analyze user journeys, funnels, adoption patterns, and engagement metrics across Spyne s platform.
  • Work closely with PMs to define success metrics, track experiments, and evaluate feature performance.
  • Build dashboards that provide visibility into product health and key KPIs.
  • Identify friction points and growth opportunities through deep behavioral analysis.

  • Data Insights & Business Intelligence

  • Run cohort analysis, retention studies, churn diagnostics, and performance tracking.
  • Build models and reports that help leadership understand product and business trends.
  • Create scalable dashboards for recurring reporting and strategic review cycles.
  • Perform ad-hoc deep dives for high-priority problems.

  • GCA / Google Cloud Analytics

  • Use BigQuery, GA4, and GCA tools to manage and optimize Spyne s analytics stack.
  • Own data cleanliness, tracking accuracy, and event instrumentation.
  • Develop SQL queries, views, and data models to support analysis at scale.
  • Partner with engineering for data pipeline improvements when required.

  • Cross-Functional Collaboration

  • Work with Product, Engineering, CS, GTM, and Leadership stakeholders.
  • Translate complex analyses into simple, actionable insights.
  • Influence roadmap priorities through data-backed recommendations.

What We re Looking For

  • Must-Have

  • 3-5 years of experience in product analytics or data analytics.
  • Strong hands-on experience with GCA (Google Cloud Analytics / BigQuery / GA4 / GCP analytics).
  • Excellent SQL skills (BigQuery preferred).
  • Understanding of product KPIs: funnels, cohorts, retention, activation, churn, experimentation.
  • Experience using BI tools (Looker, Tableau, PowerBI, Metabase, etc.).
  • Ability to present insights clearly to both technical and non-technical teams.

  • Good to Have

  • Experience in SaaS or B2B product companies.
  • Exposure to Python/R for deeper analytical or statistical work.
  • Understanding of ETL/ELT processes and data modeling.
  • Experience in early-stage, high-growth environments.

Why Spyne

  • Build and scale analytics frameworks from the ground up.
  • High visibility role with direct access to Product, CEO Office, and Leadership.
  • Opportunity to work with cutting-edge AI products shaping global retail.
  • Fast-paced environment with steep learning and rapid growth.
  • A culture that rewards ownership, speed, and problem-solving.


Required Skills


Product analytics
"Data Analytics"

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