Data Analyst that never drops the ball.
Pulls the numbers, builds the dashboard, writes the commentary. Built for data & analytics teams that need the work done without more headcount.
“My job is making sure sql + spreadsheet analysis — without anyone on your team having to ask.”
We watched our own data & analytics team burn out on work that never stopped. Data Analysts were leaving for better pay, calling out sick, and taking weeks to train — meanwhile the queue kept growing and customers kept waiting. There was no way to hire fast enough.
Vlad was built to be the piece of the team that's always there. Not a bot reading from a script, but a worker who knows the systems, the SOPs, and the judgment calls — so your senior people get their time back for the work only they can do.
Vlad in their own words.
I'm the data analyst your data & analytics team leans on when the queue starts stacking. Pulls the numbers, builds the dashboard, writes the commentary. I own the work end-to-end — you hand me the inbox, the ticket, or the call, and it gets done right the first time.
Day to day I'm running sql + spreadsheet analysis, dashboard build + refresh, ad-hoc investigation + reports. I know the systems your team uses, I know what "clean" looks like in this seat, and I don't drop details when the volume climbs.
I work inside your stack, not alongside it. Every action I take is logged, every handoff has context, and your senior people get their time back for the work only they can do.
Hear Vlad on a real call.
This is how Vlad handles a caller end-to-end — answer, capture, confirm, close. Request a demo to hear one live with your business.
Vlad is in production. A real sample call recording — handled end-to-end with dispatch, payment, and confirmation — will be available here shortly. Request a demo to hear one live with your business.
What Vlad does best.
Everything Vlad does, top to bottom.
These aren’t theoretical. Every item below is part of Vlad’s live SOP on real deployments.
- SQL + spreadsheet analysis
- Dashboard build + refresh
- Ad-hoc investigation + reports
- Data-quality monitoring
- Logs every action in your system of record
- Escalates with full context when scope is exceeded
- Runs against SOPs you approve before go-live
- Works inside your stack — no new tools required
How Vlad works a typical ticket.
Five steps, every time. Nothing skipped, nothing improvised.
Pick up the work
New data analyst work lands in my queue — form, ticket, email, or inbound request. I triage within minutes of arrival.
SQL + spreadsheet analysis
SQL + spreadsheet analysis. Done inside SOP, logged step-by-step, never skipped.
Dashboard build + refresh
Dashboard build + refresh. Done inside SOP, logged step-by-step, never skipped.
Ad
Ad-hoc investigation + reports. Done inside SOP, logged step-by-step, never skipped.
Document + hand off
Every action lands in your data & analytics system of record. If anything exceeds scope, I warm-transfer with full context — your team never starts from zero.
The tools Vlad works inside.
Vlad plugs into your existing stack. No new tools to learn, no data silos, no black box.
Built for the operators Vlad already works with.
Work Vlad has already done.
Every role below represents live deployments on real businesses — not theoretical capabilities.
- Primary data analystEmbedded in data & analytics teams
Pulls the numbers, builds the dashboard, writes the commentary.
- SQL + spreadsheet analysisDaily workload
SQL + spreadsheet analysis · Dashboard build + refresh · Ad-hoc investigation + reports. Every action logged, every handoff documented.
- Cross-team coordinationInterfaces with data & analytics stakeholders
Works alongside your existing team — never a black box. When scope exceeds the runbook, escalates with full context and proposed next step.
Real calls. Real tickets. Real outcomes.
Request came in via Slack at 9:12 AM. By 10:04 Vlad had processed the work, flagged one edge case to the team lead, and closed the loop with a short summary + links to the system of record.
Teams that already hired Vlad.
Challenge, solution, and the numbers that changed after go-live.
Financial Services operator missing data analyst work after hours. Senior staff pulled onto routine tasks; errors stacking up; customer follow-through slipping.
Deployed this worker on the primary sql + spreadsheet analysis flow. Loaded the SOP, wired the integrations, and flipped live inside 48 hours.
Growing e-commerce team could not hire fast enough to keep up with data analyst volume. Backlog grew 3x in 90 days; escalations ran hot.
Handed over the routine 80% of the queue. Senior staff kept the judgment calls. Every action logged in the system of record.
Vlad vs. hiring a human.
The math, laid out. No salary, no turnover, no sick days.
| Scenario | Human hire | Temp agency | Vlad |
|---|---|---|---|
| Annual cost | $68,000 | $98,600 | $4,188 |
| Hours covered | 40/week | 40/week | 168/week |
| Sick days | 10+/yr | 2+/yr | 0 |
| Ramp time | 6–8 weeks | 1–2 weeks | 48 hrs |
| Turnover risk | High | Very high | None |
Pick the bundle that fits your volume.
Buy minutes, not employees. Every plan includes full onboarding and integration. Upgrade or downgrade any month.
- 1,500 minutes / month
- $0.50/min overage
- One AI worker
- Standard SOP training
- Email support
- 5,000 minutes / month
- $0.50/min overage
- Custom SOP + voice training
- CRM / system-of-record integration
- Priority support
- Monthly tuning session
- 10,000+ minutes / month
- $0.50/min overage
- Multi-line / multi-region
- Custom voice + white-glove onboarding
- Dedicated CSM
- Per-team reporting
- SLA + BAA available
Need more volume? See all 14 tiers →
From signup to live in under 48 hours.
Four steps. We handle the technical work. You focus on the SOPs and the first-week review.
Pick your plan
Choose a minute bundle that matches your volume. Most data analyst ops start on the Starter or Pro tier.
Connect your inbox / ticket system
Hook into your CRM, help desk, or ticket queue. Webhooks or native integrations — we handle the plumbing.
Upload your knowledge
Scripts, SOPs, FAQs, rate cards — anything your data analyst team would hand a new hire. We train the worker on it.
Go live in under 48 hours
Soft-launch on a small % of traffic, review recordings the first week, then flip to full volume. You stay in control.
What teams say after they hire Vlad.
“The turnaround is the best part. Vlad processes requests inside an hour that used to sit on our desk for a week.”
“Accurate, on-brand, and never calls out. We trust Vlad with work we'd only trust our most senior data analysts with.”
Everything teams ask before hiring Vlad.
Under 48 hours in most cases. We load your data analyst SOP, wire the integrations, and soft-launch on a small share of traffic so you can review before flipping to full volume.
Vlad warm-transfers (or routes the ticket) with a one-paragraph summary: what the caller / customer asked, what Vlad already confirmed, and why it's being escalated. Your team never starts from zero.
Whatever your team already uses. Vlad pushes actions into your existing data & analytics stack — CRM, ticket system, calendar, SOR — via native integrations or webhooks. No new tool required.
Plans start at $49/month with CRM + 50 voice minutes included. Dedicated minute bundles start at $149/month for 500 minutes. Every minute Vlad spends on your work counts toward the bundle. Overage is billed at $0.50/min. No seats, no per-call fees, no hidden add-ons.
Any time. Upgrades prorate instantly. Downgrades apply at the next billing cycle. Your worker keeps its training, voice, and history through any change.
Yes. Vlad works every shift, including weekends and holidays. Work that lands at 2 AM gets handled before your team walks in the next morning.
Every conversation is logged, encrypted at rest, and retained per your policy. For data & analytics teams with HIPAA, PCI, or SOC2 requirements, we run on BAA-signed infrastructure with audit trails on every action.
Yes. Book a call with our team — we'll walk you through a live demo of Vlad, look at your current data analyst workflow, and map out what the first 30 days would look like.
Starting at $349/mo.
Live in under 48 hours.
Most teams run data analysts on the lite bundle or the next one up as volume grows.
