Hire Data Analyst for Marketing Agencies
Senior, direct, no layers
A data analyst turns the scattered numbers marketing agencies already collect into decisions: campaign and sales performance, audience behaviour, and operational bottlenecks, reported in a way non-analysts can act on.
A senior data analyst for marketing agencies
Marketing agencies sell outcomes, but their own operations are often the least systematised part of the business. Each client arrives with a different stack — one on HubSpot, one on Salesforce, one on a spreadsheet — and the agency absorbs that variety by hiring more account managers and building more one-off reports. Growth adds clients, but it adds the same amount of manual work, so margins flatten exactly when the agency looks busiest.
The second problem is proof. Retainers get questioned the moment results wobble, and an agency that cannot show, in the client's own numbers, what changed and why, is negotiating from weakness. Dashboards that nobody opens and monthly PDFs that nobody reads do not protect a retainer; a clear, shared record of work and results does.
A data analyst turns the scattered numbers marketing agencies already collect into decisions: campaign and sales performance, audience behaviour, and operational bottlenecks, reported in a way non-analysts can act on. The work starts by fixing the boring foundation — definitions, joins, and data quality — because a dashboard built on inconsistent definitions is worse than no dashboard. I am Omer Muneer Qazi, with 15+ years of experience and 100+ projects delivered. Browse the full hire hub for related engagements, or book a free discovery call and we will test the fit before any scope is agreed.
What this engagement covers for marketing agencies
- One definition per metric — a shared metric dictionary so 'conversion', 'lead', and 'revenue' mean the same thing in every report.
- Dashboards people open — a small number of dashboards built around real decisions, not a wall of charts nobody reads.
- Funnel and campaign analysis — where prospects and audiences actually drop off, and which channels and campaigns earn their spend.
- Data quality fixes — broken tracking, duplicate records, and mismatched joins found and fixed at the source.
- Regular reporting that writes itself — scheduled, automated reporting in the format stakeholders already use, with commentary on what changed.
- Ad-hoc answers, fast — a working relationship where a new question gets a trustworthy answer in days, not a new project.
Built for how marketing agencies actually work
Tools and systems. The agency stack is well established, and builds must respect it. HubSpot and Salesforce cover CRM and marketing automation for most clients; reporting is assembled in AgencyAnalytics or Looker Studio; search work leans on Semrush and Ahrefs; paid media runs through Google Ads and Meta Business Suite; email through Mailchimp or the client's own platform; delivery is coordinated in Asana, Monday.com, or Slack. A new tool that duplicates one of these instead of connecting to it will be abandoned within a quarter.
Where the work pays off. The highest-value work is connective: a client onboarding flow that captures logins, brand assets, and goals once and provisions every system from it; a reporting layer that translates platform metrics into the client's business language; content and campaign workflows where approvals, publishing, and results live in one place; and a delivery record that makes the next quarterly review a conversation about results instead of a defence of the retainer. The agency's craft stays creative and strategic; the administration around it stops scaling linearly with headcount.
From kickoff to delivery
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Agree the questions
List the decisions leadership and teams actually make, and work backwards to the data they need.
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Fix definitions and joins
Audit sources, agree metric definitions, and repair tracking and joins before any dashboard is built.
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Build the core dashboards
A small set of decision dashboards, validated against numbers the team already trusts.
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Hand over and iterate
Documentation, a metric dictionary, and a cadence for new questions and dashboard changes.
Why hire Omer
- Senior-only delivery: one person owns the data analyst work, its integrations, and its handover.
- Built for production, not demos: permissions, monitoring, and documentation from day one.
- Direct communication: no account-manager layer between you and the person doing the work.
- Measured on outcomes: agreed metrics reviewed regularly, with scope adjusted on evidence.
- No lock-in: your code, your data, your accounts, documented for handover.
Questions, answered
Can you connect to each client's different stack?
Will this actually protect retainers?
How do you avoid adding yet another tool the team ignores?
We already have dashboards nobody uses. Why would yours be different?
Is our data good enough for this?
Ready to get started?
The best way to explore working together is a quick conversation. Reach out through your preferred channel and let us discuss your project.
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