Home About Case Studies Hire Me Contact
Currently available for select engagements

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.

15+
Years Experience
100+
Projects Delivered
6
Countries Served
$25M+
Revenue Enabled
Media Agencies — Data Analyst

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 you get

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.
Working in Media Agencies

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.

How it works

From kickoff to delivery

  1. Agree the questions

    List the decisions leadership and teams actually make, and work backwards to the data they need.

  2. Fix definitions and joins

    Audit sources, agree metric definitions, and repair tracking and joins before any dashboard is built.

  3. Build the core dashboards

    A small set of decision dashboards, validated against numbers the team already trusts.

  4. Hand over and iterate

    Documentation, a metric dictionary, and a cadence for new questions and dashboard changes.

Why Omer

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.
FAQ

Questions, answered

Can you work with our existing buying and reporting stack?
Yes. Builds are designed around the tools already in place — Mediaocean Prisma for trafficking, AgencyAnalytics, Tableau, or Looker Studio for reporting, Nielsen and Comscore data for planning — so planners keep working the way they work, with less manual transfer between systems.
How do you handle client reporting without adding headcount?
By automating the assembly, not the judgement. Platform data is pulled on a schedule, mapped once to each client's definitions, and rendered into the report format they already receive. Account managers review and annotate instead of rebuilding spreadsheets.
What about pacing and trafficking errors?
Pacing checks run against flight dates and budgets automatically, and trafficking changes go through a single checklist with an audit trail: who changed what, when, and for which insertion order. Errors get caught before they reach a live campaign.
We already have dashboards nobody uses. Why would yours be different?
Because they start from decisions, not from available charts. Each dashboard is tied to a question someone actually asks in a meeting, and usage is checked after launch — unused dashboards get cut, not added to.
Is our data good enough for this?
The audit answers that before any dashboard is promised. Where data is too thin or too dirty, the first deliverable is a fix plan with the tracking and cleanup needed, not a chart built on sand.
Currently available for select engagements

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.