Data analyst on demand
Looker, Tableau, GA4, Mixpanel — analyst-grade work without the headcount.
Data analyst on demand is a fractional senior analyst engagement where a data professional plugs into your stack to deliver dashboards, ad-hoc analyses, and exec-ready narratives without the cost of a full-time hire.
Why this work matters
You don't need a full-time data analyst yet — but you do need someone to answer 'why did Q3 churn spike on the SMB plan?' before the board meeting next Tuesday. Hiring takes a quarter; a contractor takes a week to ramp; we are productive on day one.
The work, in detail.
- Looker / Tableau / Power BI dashboards
- GA4 + Mixpanel + Amplitude
- Attribution + funnel analysis
- Cohort + retention analyses
- Exec narratives + board decks
- SQL across Postgres / Snowflake / BigQuery
- Marketing + product + finance analytics
- →Recurring dashboards (Looker/Tableau/Power BI)
- →Ad-hoc analyses with written narratives
- →Attribution + funnel audits
- →SQL libraries you own
- →Quarterly metric reviews
A senior data analyst on demand: ad-hoc analyses, recurring dashboards, exec narratives, attribution audits. We plug into your stack and ship the answer.
The approach.
Discovery in 1 hour
We jump on a call, see the stack, understand the question. By end-of-day-1 we know what data we have, what's missing, and how long the answer will take.
Answer + narrative
Numbers without a story are noise. Every analysis we ship comes with a recommendation, an action, and a confidence level. You can quote it in a board deck.
Recurring or ad-hoc
Some clients use us for one-off questions; others have a standing 8-hour-a-week engagement that catches anomalies before they become trends.
Senior data analyst · weekly invoicing · ad-hoc or recurring
Data analyst on demand — common questions
What can a data analyst on demand actually do for us?
Recurring dashboards in Looker, Tableau, or Power BI; ad-hoc analyses with written narratives; attribution and funnel audits; SQL libraries you own; and quarterly metric reviews. The work spans marketing, product, and finance analytics, with SQL across Postgres, Snowflake, and BigQuery and event data from GA4, Mixpanel, and Amplitude.
When is this the right fit versus hiring full-time?
It fits when you don't need a full-time analyst yet but still need someone to answer a question like why Q3 churn spiked on the SMB plan before next week's board meeting. Hiring takes a quarter and a contractor takes a week to ramp, whereas we are productive on day one.
How does an engagement start?
We do discovery in about an hour: get on a call, see the stack, and understand the question. By the end of day one we know what data exists, what's missing, and how long the answer will take.
Do I get just numbers, or an actual recommendation?
Every analysis ships with a story, because numbers without one are noise. Each comes with a recommendation, an action, and a confidence level, written so you can quote it directly in a board deck.
Can we use you for recurring work instead of one-off questions?
Yes. Some clients use us for one-off questions; others keep a standing weekly engagement, for example 8 hours a week, that catches anomalies before they become trends. Invoicing is weekly either way.
How are you billed?
At $45 per hour with weekly invoicing, on an ad-hoc or recurring basis. You scale the hours to the questions in front of you rather than committing to a fixed headcount.
More from Data, BI & Power Platform
Services that compound with Data analyst on demand
Most engagements pull from more than one discipline. Here's what frequently ships alongside data analyst on demand.
Power BI development
Dashboards, semantic models, DAX, and RLS — done right the first time.
Data engineering & pipelines
dbt, Fivetran, Airbyte, Snowflake, BigQuery — warehouses that work.
Technical SEO that engineers don't laugh at
Crawlability, rendering, vitals, schema — shipped as PRs.
The cost of waiting
is your competitor.
Every 90 days you delay is 90 days of authority compounding for someone else. Get the audit. See the math. Then decide.