Hire Data Analyst for Media Agencies
Senior, direct, no layers
A data analyst turns the scattered numbers media 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 media agencies
Media agencies live or die on two things: buying well and proving it. Clients now expect every dollar of spend to be traceable to an outcome, and they expect the report before they ask for it. Meanwhile the buying itself has fragmented across programmatic, social, search, audio, and out-of-home, each with its own platform, its own pacing quirks, and its own definition of a conversion.
The operational cost is what quietly eats margin. Planners re-key insertion orders, account managers rebuild the same report in a different format for each client, and trafficking errors — a wrong creative, a missed flight date, a budget that paced too fast — surface only when the client spots them. Agencies that fix this plumbing keep clients longer than agencies that just buy cheaper.
A data analyst turns the scattered numbers media 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 media 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 media agencies actually work
Tools and systems. Media work has its own established stack, and new builds have to plug into it. Buying and trafficking run through Mediaocean's Prisma for many agencies; audience and reach planning leans on Nielsen data and Comscore; reporting is assembled in AgencyAnalytics, Tableau, or Looker Studio; day-to-day coordination lives in Asana, Monday.com, or Slack; verification comes from DoubleVerify or Integral Ad Science. Any system that cannot read from and write to these tools will be ignored by the people doing the actual buying.
Where the work pays off. The work that moves the needle is operational: one intake for a campaign brief that flows into trafficking without re-typing; pacing alerts that flag overspend before the client does; a single reporting layer that pulls platform numbers into the client's own vocabulary; and a clean archive of plans, creatives, and results so the next brief starts from evidence instead of a blank document. Buying skill stays with the planners; the machinery around it stops leaking time and margin.
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 work with our existing buying and reporting stack?
How do you handle client reporting without adding headcount?
What about pacing and trafficking errors?
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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