{"id":2680855,"url":"https://alion.io/job/gobblecube-product-analyst","title":"Product Analyst","company":{"id":46465,"name":"Gobblecube","domain":"gobblecube.ai","url":"https://alion.io/company/gobblecube","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":9000,"max_usd":22000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Metabase","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Zapier","optional":false},{"name":"BigQuery","optional":true},{"name":"dbt","optional":true},{"name":"Google BigQuery","optional":true},{"name":"NumPy","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-10-16T06:20:11Z","employer_posted_date":null,"last_verified_at":"2026-10-16T06:20:11Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We're looking for a rigorous, product-minded analyst who lives at the intersection of data and decision-making. In this role, you'll own product health tracking, user behaviour analysis, and insight delivery across GobbleCube's core platform. You won't just report numbers: you'll shape how the product team understands what's working, what's not, and where to invest next. This is a high-leverage role for someone who can move seamlessly between exploratory analysis and structured storytelling, and who takes personal ownership of the quality and timeliness of the insights they deliver.\nResponsibilities:\nOwn the product analytics stack: define, build, and maintain dashboards and metric frameworks that track feature adoption, engagement, retention, and revenue impact across the platform.\nPartner with PMs, Customer Success, and Data Science teams to design instrumentation, run experiment analyses, and translate findings into product decisions.\nDrive weekly and monthly product health reviews: surface anomalies, run root cause analyses (RCA), and proactively flag risks before they become escalations.\nBuild a deep understanding of the product lifecycle: from discovery to launch to iteration, and maintain longitudinal tracking that connects feature releases to downstream user behaviour.\nDevelop and maintain a user behaviour taxonomy: funnels, cohort analyses, segmentation by persona, platform, and usage tier.\nTranslate complex analytical outputs into clear, concise narratives for product leadership and GTM audiences.\nIdentify instrumentation gaps, work with engineering to close them, and establish a culture of measurement rigour within the product org.\nRequirements:\n2+ years of hands-on product analytics experience in a B2B SaaS or consumer tech environment: not just data analysis, but analytics that directly informed product roadmap or business decisions.\nStrong command of SQL (complex joins, window functions, CTEs) and Python (pandas, NumPy) for data wrangling and exploratory analysis.\nProficiency with product analytics and BI tools: Mixpanel, Amplitude, PostHog, Metabase, Redash, or equivalent.\nDemonstrated experience tracking products through their lifecycle: instrumentation design, launch metrics, post-launch iteration, and long-term health monitoring.\nAbility to define and operationalise product KPIs: you should be able to articulate the difference between a vanity metric and a signal that drives decisions.\nExperience with A/B testing and experimentation frameworks: hypothesis design, statistical significance, and communicating results to non-technical stakeholders.\nExceptional structured thinking: you can decompose a fuzzy product question into a precise analytical plan and execute it end-to-end.\nStrong communication skills: you can write a crisp insight brief as well as you can build a dashboard.\nPractical fluency with AI tools and workflows: you actively use LLMs (Claude, ChatGPT, or equivalent) in your day-to-day work for analysis, synthesis, and automation, not just experimentation.\nFamiliarity with agentic workflows and automation tooling: experience connecting data sources, triggers, and actions using tools like Claude, MCP integrations, Zapier, or custom Python pipelines.\nNice to Have:\nPrior experience in quick commerce, FMCG analytics, or marketplace platforms.\nExposure to event-based data pipelines and warehouse tooling (BigQuery, Snowflake, dbt).","description_format":"text","description_chars":3415,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketing Automation","Customer Data Platforms (CDP) & Reverse ETL"],"lifecycle":[{"event":"open","at":"2026-10-16T06:20:11Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":29,"reasons":["seen:0","win:early","comp:junior"],"computed_at":"2026-10-16T13:57:51Z"},"pay":null,"html_url":"https://alion.io/job/gobblecube-product-analyst","json_url":"https://alion.io/job/gobblecube-product-analyst.json","meta":{"generated_at":"2026-10-16T13:57:51Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per 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