Assemble campaign data
Collect the approved channel, campaign and sales records, maintaining source dates and identifiers needed to compare activity without hiding missing data.
Managed AI staffing
Marketing Reporting Analyst
Marketing reports that connect activity with business outcomes.
Bring campaign, channel and sales data into a reporting process your team can inspect. Your AI marketing reporting analyst maintains consistent definitions, investigates changes and explains the limits of attribution so leaders can understand what happened and what deserves another look before changing investment.
Find my AI workerBuild a free role brief Responsibilities, handoffs and quality measures. No signup.
The job behind the title
Give this work a clear owner.
Marketing dashboards disagree when platforms use different attribution windows or when a lead means something different to sales. Teams need reconciled definitions and useful analysis rather than a collection of disconnected charts.
Responsibilities
What your marketing reporting analyst can take on.
We shape these responsibilities around your systems, priorities and decision permissions.
Reconcile metric definitions
Document how leads, conversions and revenue are counted, including attribution windows and exclusions that affect comparisons between reporting sources.
Analyze performance changes
Investigate shifts by campaign, audience and period, distinguishing observed movements from possible explanations and checking for tracking or data-quality issues.
Prepare action-focused reports
Present the agreed performance views with concise commentary, limitations and questions that support the marketing owner's next decision.
A clear handoff
From your inputs
to work you can use.
- Authorized campaign, analytics and sales datasets
- Conversion definitions and attribution conventions
- Reporting objectives and campaign naming map
Your Botsource
AI workerPrepared, onboarded
and supported
AI workerPrepared, onboarded
and supported
- Reconciled campaign performance report
- Metric dictionary and attribution notes
- Findings with supporting data and open questions
Illustrative workflow
See the role in practice.
An example of how the work could run, tailored during onboarding. This is not a customer case study.
An advertising platform reports more conversions than the sales system shows new leads. The marketing director needs to understand the discrepancy before increasing the next month's budget.
The analyst compares conversion definitions, dates and attribution windows, then separates duplicate events, returning customers and records that can be connected to the agreed sales outcome.
A campaign identifier is missing from several sales records. The analyst reports the unmatched group separately rather than assigning those outcomes to whichever campaign looks most plausible.
Onboarding & continued development
The right fit gets better
with the right support.
Find the right fit
We learn the job, your expectations and how your team works. Then we select and configure an AI worker for the role.
Onboard with confidence
We help your bot learn your systems, policies and preferences. Together, we review its work and prepare it for the responsibilities you agree on.
Keep getting better
We stay involved, review performance and continue coaching your bot. You have a human Botsource contact when the work needs attention.
What we help your bot learn
- Your funnel stages and definitions of qualified outcomes
- Attribution rules, reporting cutoffs and campaign identifiers
- Preferred decision views and commentary standards
How we can review performance
- Reported outcomes linked to identifiable source records
- Unmatched or duplicated conversion records
- Acquisition cost by agreed qualified outcome
We agree on targets and review methods together. These are proposed measures, not claimed results.
Before you get started
Questions about this role.
Can it combine data from several channels?
The role can prepare a shared reporting view from the sources included in your plan. It preserves important differences in definitions and attribution instead of adding incompatible conversion counts into a misleading total.
Will it tell us which campaign caused a sale?
It can show the attribution supported by your data and chosen model. When evidence does not establish causation, the report says so and separates a recorded association from a stronger claim about what caused the result.
How are tracking problems handled?
The analyst identifies missing identifiers, unusual event patterns and reconciliation gaps, then prepares the evidence for the tracking owner. A measurement issue remains visible in the report until it is resolved or explicitly accounted for.
Start with the job
Let's talk about your marketing reporting analyst role.
Tell us what the role needs to accomplish. We’ll talk through responsibilities, systems, onboarding and how you want to measure performance.
You’ll leave the assessment with a clearer role plan and next steps for preparing the right AI worker.
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