{"id":97459,"url":"https://alion.io/job/justanswer-senior-ai-analytics-engineer","title":"Senior AI & Analytics Engineer","company":{"id":171839,"name":"JustAnswer","domain":"justanswer.com","url":"https://alion.io/company/justanswer-2","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":90,"open_postings":5,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":34000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AutoGen","optional":false},{"name":"Copilot","optional":false},{"name":"CrewAI","optional":false},{"name":"Function Calling","optional":false},{"name":"Google BigQuery","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Claude","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"Power BI","optional":true},{"name":"Semantic Search","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-08-07T12:48:40Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-28T02:01:20Z","board_verified":true,"closed_at":null,"days_open":81,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":81},"description":"About Us\nPearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere.\nOur Values\nData driven: Start with truth, measure what matters.\nCourageous: Bias to action; run toward hard problems.\nInnovative: Seek novel, elegant solutions.\nLean: Do more with less. Build, ship, learn fast.\nHumble: Strong opinions, lightly held.\nAbout the Role \nAnalytics is moving beyond dashboards. We’re building intelligent systems that let analysts and business users explore data, automate analysis, design scalable architectures, and get insights faster and we need a senior engineer to build the data foundations and AI-powered tools that make that possible. \nThis is a hands-on builder role at the intersection of analytics engineering and applied AI. You'll own the pipelines, datasets, and metrics that the business runs on, and you'll build the LLM-powered applications, copilots, agents, natural-language data experiences that sit on top of them. You'll work directly with product, growth, and business teams on real B2C and customer data. \n\nWhat You’ll Do\nAnalytics Engineering & Business AnalyticsBuild and own scalable data pipelines, transformations, analytical datasets, and reusable data products using SQL and Python.\nAnalyze B2C, product, and customer data to identify trends, performance drivers, and actionable insights.\nTranslate business and product questions into reliable metrics and decision-support solutions that help teams measure performance and understand customer behavior.\n\nAI-Powered AnalyticsDesign, build, and deploy LLM-powered applications, agents, and analytics workflows using RAG, tool calling, MCP, and modern agent frameworks.\nDevelop reusable AI tools that enable analysts and business users to interact with data, automate analysis, and generate insights.\nEvaluate, monitor, and continuously improve AI solutions in production, focusing on accuracy, reliability, cost, and safety.\n\nSystems Integration & ProductionIntegrate data platforms, analytics systems, APIs, and AI components into reliable, secure, and maintainable services.\nContribute to the architecture and design of scalable data and AI systems in collaboration with platform and engineering teams.\n\nWhat you'll build \nA governed metrics layer - reliable, reusable definitions for retention, conversion, LTV and other core B2C metrics, built on BigQuery / Fabric with governed definitions in OpenMetadata, that every team and every AI tool draws from. \nAn analytics copilot - a natural-language interface that lets product managers and business users ask questions of the data and get trustworthy, sourced answers. \n Automated analysis workflows - agents that handle recurring analyses (weekly performance reviews, anomaly triage, funnel diagnostics) and surface what matters. \nReusable AI tooling - skills, knowledge sources, documentation, MCP servers, and ready-to-use scripts that AI tools can call for data extraction, analysis, and visualization, so building the next AI feature is fast and safe. \nWhat We're Looking For\nRelevant Experience: 6+ years of hands-on experience in analytics engineering, data engineering, product/business analytics, applied AI, or a related technical role.\nSQL & Python: Strong proficiency in SQL and Python, with experience building and maintaining production-grade data pipelines and analytical datasets beyond exploratory notebooks.\nSolution Architecture: Experience designing scalable, end-to-end architectures integrating data platforms, services, APIs, AI components, and user workflows.\n Business & Product Analytics: Experience with B2C, product, or customer analytics, including defining and applying metrics such as retention, funnels, cohorts, conversion, and customer lifetime value (LTV) to influence business decisions.\nProduction AI Experience: Demonstrated experience personally building and deploying at least one LLM-powered application used by real users, leveraging RAG, tool/function calling, or agents.\nAgent Frameworks: Hands-on experience with at least one orchestration or agent framework, such as LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, OpenAI Agents SDK, or similar.\nCommunication: Ability to explain technical designs and complex concepts clearly to non-technical stakeholders.\nNice To Have\nExperience with AI evaluation, monitoring, guardrails, or Responsible AI practices in production. \nBuilt conversational analytics, an analytics copilot, or text-to-SQL / natural-language data experiences. \nWorked with semantic layers, governed metrics, or enterprise metric definitions. \nGoogle BigQuery, Google Analytics, OpenMetadata, Microsoft Fabric, Power BI, Databricks, Snowflake, Azure AI Foundry, Azure OpenAI, or Claude. \nVector databases, semantic search, or MCP server development. \nDocker, Kubernetes, CI/CD, or observability tooling. \nOur Commitment to an Inclusive Workplace\nWe welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.\nAI Disclosure & Informed Consent\nArtificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy.","description_format":"text","description_chars":5968,"description_truncated":false,"requirements":{"experience_years_min":6,"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":["Local Services Marketplaces"],"lifecycle":[{"event":"open","at":"2026-08-07T12:48:40Z"},{"event":"close","at":"2026-10-02T02:52:52Z"},{"event":"reopen","at":"2026-10-13T04:53:18Z"}],"visa":[],"liveness":{"score":27,"band":"fade","label":"Fading","p_open":1,"p_active":0.753,"p_room":0.36,"age_days":80,"expected_fill_days":48,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/justanswer-senior-ai-analytics-engineer","json_url":"https://alion.io/job/justanswer-senior-ai-analytics-engineer.json","meta":{"generated_at":"2026-10-28T05:03:15Z","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 call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6571,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":171839},"rest":"https://alion.io/mcp/rest/get_company?id=171839"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjustanswer-senior-ai-analytics-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fjustanswer-senior-ai-analytics-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fjustanswer-senior-ai-analytics-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/justanswer-senior-ai-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjustanswer-senior-ai-analytics-engineer"}]}