{"id":3449705,"url":"https://alion.io/job/kore-ai-associate-manager-gtm-analytics","title":"Associate Manager - GTM Analytics","company":{"id":4710,"name":"Kore.ai","domain":"kore.ai","url":"https://alion.io/company/kore-ai","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":8500,"max_usd":19000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"ClickHouse","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"dbt","optional":true},{"name":"Jira","optional":true},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-29T10:19:23Z","employer_posted_date":null,"last_verified_at":"2026-10-29T10:19:23Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"Role Overview : \n\nWe are seeking an analytical, business-oriented Associate Manager of GTM Analytics, Insights and AI to help optimize the performance, efficiency, and scalability of our go-to-market organization. This role sits at the intersection of data analytics, business intelligence, strategic insights, and AI-driven innovation, translating complex data into actionable recommendations that improve revenue performance and inform business decisions.\n\nKey Responsibilities : \n\n- Develop and maintain a comprehensive view of GTM performance across Sales, Marketing, Customer Success, and other revenue-generating functions.\n\n- Build, maintain, and continuously improve executive dashboards (in Looker and Coefficient), operational scorecards, and self-service reporting solutions.\n\n- Build and maintain data pipelines, data models, and semantic layers that power GTM dashboards, forecasting models, and AI-enabled applications.\n\n- Own and evolve the GTM data model within the organization's central data warehouse (ClickHouse).\n\n- Write and optimize SQL and Python to extract, transform, validate, and analyze data across multiple sources.\n\n- Analyze the end-to-end GTM funnel, from demand generation through revenue realization, customer retention, and expansion.\n\n- Design, build, test, and deploy AI agents and retrieval-augmented generation (RAG) workflows that enable GTM teams to access contextual, data-driven answers.\n\n- Serve as a trusted analytics partner to Sales, Marketing, Customer Success, BDRs, and Finance leadership.\n\nRequired Qualifications : \n\n- 4 - 7 years of experience in GTM analytics, revenue operations, sales analytics, business intelligence, or related analytical functions.\n\n- Strong SQL skills and hands-on experience with a central data warehouse (ClickHouse, Snowflake, BigQuery, or PostgreSQL).\n\n- Proficiency in Python for data extraction, transformation, analysis, and automation.\n\n- Strong foundation in data modeling and database design.\n\n- Hands-on experience building and maintaining dashboards using BI platforms like Looker, Coefficient, Tableau, or Power BI.\n\n- Practical experience using generative AI tools, LLMs, RAG pipelines, and agentic development.\n\n- Strong written and verbal communication skills.\n\n- Demonstrated ability to manage competing priorities and lead projects in a fast-paced environment.\n\nPreferred Qualifications : \n\n- Experience building and deploying production-ready AI agents or LLM-powered applications.\n\n- Experience developing machine learning models for forecasting or segmentation.\n\n- Familiarity with data orchestration tools such as dbt or Airflow.\n\n- Experience with CRM and GTM platforms like HubSpot, Gong, Jira, or Zendesk.\n\n- Experience mentoring analysts and leading cross-functional projects.\n\nSkills\nSQL, Python, Looker, Generative AI, Data Modeling, Business Intelligence, Tableau, Power BI, Data Analytics, Analytics Dashboards, Reporting 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