Business Analyst

About NxtJob

NxtJob.ai is an AI-first career platform for mid-to-senior Indian professionals. We run two programs. Job Force One is AI-assisted, coach-led job search. Sw!tch is our executive program for leaders making high-stakes career moves. Our nine AI agents cover the whole search, from choosing a niche and building a rsum to networking, interviews and negotiation. We're growing fast, and our data needs to keep up.

The role

You'll be our first analyst, working directly with the CXOs. You'll build the analytics layer across two areas. Growth covers every step from ad click to closed sale. Operations covers every step from onboarding to the client's offer letter. There's no team or playbook yet. Your job is to set up the structure, automate the reporting and find the insights the company runs on. Where AI can do the work, use it.

What you'll own

Growth analytics (marketing CRM revenue)

• End-to-end funnel reporting across our three entry points (VSL, evergreen webinar, paid bootcamp), then presales (bookers setters), sales calls and conversion to Job Force One and Sw!tch
• Attribution: clean UTM taxonomy, channel/campaign/creative-level CAC and ROAS across Meta and Google, reconciled against actual payments (not only what the ad platforms report)
• Lead-quality scoring and cohort analysis: which audiences, campaigns and webinars produce buyers, not just leads
• Revenue integrity: booking vs cash collected, deposit full-payment/EMI conversion, payment-failure diagnosis on high-ticket plans
• Presales and sales performance: dials, bookings, show rates, one-call closes vs follow-ups, objection trends, rep capacity
• Weekly business review and a KPI scorecard for every function, all tied to one north-star metric

Operations analytics (client delivery)

• Client-lifecycle funnel, covering onboarding rsum LinkedIn activation retention, with stage-to-stage time gaps, SLA breaches and where clients get stuck
• Active-job-search outcomes: outreach volume, acceptance, referrals, screenings, interviews and offers, tracked per client, per account manager and per cohort
• AM performance dashboards, early at-risk signals, and data to support escalations
• Sw!tch program analytics: pipeline setup in our ERP, phase progression, coach/panel utilisation and outcome tracking for leadership clients
• Community and engagement metrics, and how engagement relates to job outcomes

Data infrastructure & automation

• Own the pipelines connecting ads platforms, website/app events, CRM/ERP, payment gateway and the product database into one reliable source of truth
• Fix data quality at the source (broken exports, macro-less UTMs, inconsistent definitions) and document every metric definition
• Replace manual spreadsheets with automated dashboards, alerts and scheduled reports
• Build AI into the workflow: LLM-assisted analysis, auto-generated insight summaries, anomaly detection and natural-language querying for non-technical teams
• Teach data literacy: run funnel and reporting sessions so every team reads its own numbers

You'll likely have

• 25 years in business/growth/ops analytics, ideally at a D2C, edtech, SaaS or other high-velocity startup
• Strong SQL (MySQL); comfortable pulling from production and CRM databases on your own
• Advanced Sheets/Excel plus one BI tool (Looker Studio, Metabase, Power BI, Tableau)
• Working knowledge of Meta/Google Ads data, UTM/attribution and CRM funnels
• Python or Apps Script for automation, and a habit of using LLMs (Claude, ChatGPT) to work 3 faster
• Structured thinking: you can turn a vague CXO question into a metric, a query and a recommendation in the same day
• Clear communication: one sharp insight beats a 40-tab dashboard

Bonus: experience with high-ticket sales funnels, webinar/VSL funnels, payment-gateway reconciliation, dbt/ETL tools, or experimentation design.

What you get

• First-analyst ownership: you build the function, set the standards and grow into leading analytics as the team scales
• Direct CXO exposure: you'll be in the room for pricing, spend, hiring and product decisions
• Best-in-class ESOPs: real ownership in what you help build
• Competitive salary, benchmarked to top startups
• AI-first tooling: a paid budget for AI tools, and a mandate to use them
• Learning budget for courses, certifications and conferences
• Visible impact: your dashboards move ad spend, fix funnels and change whether a client gets hired
• Mission: helping experienced professionals get their next career move right