Marketing Analytics Manager
Denver, CO 40 hours per week, core hours 9am to 3pm MountainFull timeRemote first, Denver satellite office by appointmentOpen now
$110,000 to $142,000 per year, plus quarterly performance bonus
Talent pool vacancy. Your application stays on file for twelve months.
About the role
Own the measurement our 90 day guarantee rests on, so every number a client sees can be defended line by line.
We promise growth within 90 days or the client's money back. That promise is only honest if the measurement behind it is sound, which makes this one of the most consequential roles in the company.
You will own tracking architecture, warehouse modeling, attribution approach and the reporting clients read. When a channel claims credit it does not deserve, you are the person who says so, including when it is inconvenient for us.
You will also handle privacy properly: consent mode, state privacy law obligations, data retention and what we will and will not collect on a client's behalf.
- Requisition
- FPM-ANA-1107
- Reports to
- Director of Analytics
- Team
- Analytics team of four supporting every client pod
- Level
- Senior · Full time
- Hours
- 40 hours per week, core hours 9am to 3pm Mountain
- Travel
- Minimal
- Work setup
- Remote first, Denver satellite office by appointment
- Region
- West
A typical week in this role
- Validating that a client's reported revenue reconciles with their own finance numbers
- Modeling channel contribution rather than accepting last click
- Building a dashboard a non technical owner can read in two minutes
- Reviewing tracking implementations before a campaign launches, not after
- Explaining to a pod why their favorite number is misleading
- Auditing consent and retention settings across accounts
Tools you will use
GA4 · BigQuery · dbt · Looker Studio · SQL · Python · Server side GTM · Segment
What you will own
| Tracking architecture | Specify and review GA4, server side tagging, offline conversion imports and CRM integration for every account. |
|---|---|
| Warehouse modeling | Model marketing, CRM and revenue data in BigQuery so every client has one trustworthy source. |
| Attribution | Choose and explain the attribution approach per client, including incrementality testing where budget allows. |
| Reporting | Build dashboards that answer a business question rather than displaying everything available. |
| Guarantee adjudication | Provide the evidence used to assess our 90 day commitment, impartially. |
| Privacy | Own consent handling, retention and compliance with applicable state privacy law. |
| Enablement | Train pods to read data correctly and to stop quoting numbers that will not survive scrutiny. |
Your first 90 days
Days 1 to 15
Audit tracking across the client base and rank the accounts by measurement risk.
Days 16 to 45
Fix the highest risk implementations and document the standard everyone builds to.
Days 46 to 75
Ship a modeled reporting layer for the largest accounts with revenue reconciliation.
Days 76 to 90
Publish the measurement standard and run enablement for every pod.
How success is measured
These are the numbers reviewed with you every quarter. There is no hidden scorecard.
| Measure | What good looks like |
|---|---|
| Revenue reconciliation | Reported revenue within five percent of client finance data on every account |
| Tracking coverage | Every account meeting the documented measurement standard |
| Report usage | Clients logging in and using dashboards between reviews |
| Privacy compliance | Zero unresolved consent or retention findings at quarterly audit |
This role is probably not for you if
- You would rather present a flattering number than an accurate one
- You want to build dashboards nobody has asked a question about
- You are uncomfortable telling internal teams that their reporting is wrong
Qualifications
| Requirement | Standard we look for | Weighting |
|---|---|---|
| Analytics experience | Five or more years in marketing analytics or data with client facing responsibility | Essential |
| SQL and modeling | Writes production SQL and models data without engineering support | Essential |
| Tracking implementation | Hands on with server side tagging and offline conversion imports | Essential |
| Communication | Explains a modeling decision to a non technical owner without jargon | Essential |
| Work authorization | Authorized to work in the United States without sponsorship | Essential |
| Incrementality testing | Geo holdout or matched market testing | Advantage |
| Privacy expertise | Working knowledge of state privacy law obligations | Advantage |
Salary and benefits
$110,000 to $142,000 per year, plus quarterly performance bonus
| Base salary | Paid semi monthly in US dollars, reviewed every six months against national market data for Marketing Analytics Manager roles. |
|---|---|
| Performance bonus | Paid quarterly and tied to client retention and measured client results rather than billable hours or utilization. |
| Medical, dental and vision | Company funded medical, dental and vision from day one for you, with employer contribution toward dependents. |
| 401(k) | 401(k) with a four percent employer match, vested immediately, administered through our national provider. |
| Paid time off | 20 days of paid vacation, 11 federal holidays, unlimited sick leave and your birthday off. |
| Parental leave | 16 weeks fully paid for all new parents, with a phased return over the following month. |
| Learning budget | $2,500 per year for certifications, conferences and paid study time during work hours. |
| Equipment | MacBook Pro or equivalent, external monitor and a $750 home workspace allowance in your first month. |
| Office access | Access to your nearest satellite office by appointment when you want to work alongside colleagues. We do not entertain walk ins. |
Hiring process
1. Application review
A recruiter and the hiring manager read every Marketing Analytics Manager application within five business days. Nothing is filtered by keyword software.
2. Introductory call
Thirty minutes by video with the hiring manager about your work, your motivation and how you like to be managed.
3. Paid practical exercise
A realistic two hour task based on work you would actually do, paid at $250 whether or not you move forward.
4. Panel conversation
Sixty minutes with your future manager and one client facing colleague, including your walkthrough of the exercise.
5. Offer and references
A written offer with the salary band shown here, two references and a start date agreed around your notice period.
Questions applicants ask
Is this a talent pool vacancy
Yes. Every vacancy we publish is a talent pool vacancy. If this Marketing Analytics Manager opening is filled, your application stays on file for twelve months and is matched against comparable roles in any of our United States locations before we advertise externally.
Do I need to live in Denver
You need to be authorized to work in the United States and based within commuting distance of Denver for occasional in person client sessions. Day to day work is remote first.
Do you sponsor work visas
Not for this role. All United States vacancies require existing authorization to work in the United States without sponsorship now or in the future.
Is the salary range negotiable
The published range is real. Where you land inside it depends on the practical exercise, the panel conversation and your directly relevant experience. We do not ask for salary history.
How quickly will I hear back
Every applicant gets a written answer within five business days, including applicants we do not move forward with. Nobody is left waiting without a reply.
Ready to apply
The application takes about ten minutes. You will need your resume and a short answer to two questions about how you work.
Start your application