Director, Media Analytics

Eden Collective; New York (NY); On-site; USD 130,000 - 150,000; Full time

Job summary

Eden Collective in New York City is seeking a Director, Media Analytics to own the recurring data and reporting infrastructure for our client work. This hands-on role reports to the SVP, Media Analytics and will grow into advanced TV/CTV attribution, MMM, and incrementality analysis.

You will build dashboards, unify paid media, web, and sales data, and collaborate with channel leads. Proficiency in Python, SQL, R, Looker Studio or Tableau is essential, along with ETL tools and GA4.

Qualifications

• 5–7 years in marketing analytics, media measurement, or marketing data, ideally agency-side.
• Strong coding background in Python, R, and SQL.
• Experience building dashboards in Looker Studio or Tableau.
• Familiar with data aggregation/ETL tools (Funnel.io, Supermetrics, Fivetran).
• Working knowledge of paid media platform data and GA4/product analytics.
• Solid statistics and familiarity with A/B testing and MMM concepts.
• Fluency with LLM tools (Claude) for data tasks and prompt verification.

Responsibilities

• Own recurring reporting and data pipelines across client portfolio.
• Support media attribution: TV, platform, and MMM.
• Build and maintain Looker Studio dashboards; iterate templates.
• Unify paid media, web, and sales data; troubleshoot pipelines.
• Collaborate with channel leads and modeling team on methodology.

Skills

Python

SQL

R

Looker Studio

Tableau

ETL tooling

Funnel.io

Supermetrics

Fivetran

GA4

Statistics

LLM tools (Claude)

Education

Bachelor's degree in a quantitative or analytical field

Tools

Funnel.io

Supermetrics

Fivetran

GA4

Job description

Founded in 2019, Eden Collective is a media consultancy built by 20+ year agency veterans who saw a better way to serve high-growth brands. We work across DTC, subscription, CPG, and telecom, and our measurement practice spans linear TV, CTV, paid digital, and full-funnel web behavior.

We are looking for a Director, Media Analytics to join our data team. This is a hands-on individual contributor role reporting to the SVP, Media Analytics. You will own the recurring data and reporting infrastructure that our client work runs on, and you will grow into the analyst who can explain what the key media KPIs actually mean.

Why this role exists

Eden Collective is growing fast: New clients, new channels, and a measurement practice that has become the reason brands come to us in the first place. We are building out Media Science practice to match that momentum, and we are hiring people who can think, move quickly, and build things that hold up.

This role sits at the center of it. You will own the data and reporting infrastructure our measurement work runs on, and you will have real room to grow into the analysis on top of it: TV and CTV attribution, incrementality testing, and the questions clients actually make decisions on. If you want scope early in your career, this is a team where you can take it.

What you'll do

• Own recurring reporting and pipelines. Run the recurring reporting cycle across our client portfolio: data ingestion, refreshes, QA, and delivery. Own the calendar so nothing slips and no deliverable depends on one person being online.
• Support media attribution in three key areas: TV Attribution, Platform Attribution, and MMM
• TV Attribution: Partner with our TV measurement lead to run our spike model: ingest post-logs and spot-level files, process minute-level web data, validate matches, and produce station, daypart, and creative level outputs. Become a second set of hands who can run it independently.
• Platform attribution: Work with channel leads to connect digital media to bottom-line outcomes. This means knowing how each platform actually attributes, where it takes credit it has not earned, and how to reconcile in-platform numbers against web and sales data.
• MMM: Work with our modeling lead to maintain MMM pipelines, execute model runs, and collaborate on reporting methodology and how results get framed for clients.
• Think critically about how the media impacts our clients’ businesses. This is the part that matters most. Interpret what moved and why: whether a cost-per change came from rate, clearance, conversion rate, or frequency; whether a station read is a real effect or a small-sample artifact; how a spike model read reconciles against survey or deterministic sources. Bring a point of view, not just a table.
• Build and maintain data + dashboards. Unify paid media, web, and sales data. Manage media connectors and troubleshoot broken pipelines and stale data before a client notices.Own Looker Studio dashboard builds, revisions, and templating across accounts. Turn stakeholder feedback into changes quickly, and push toward templated builds instead of one-off rebuilds.
• Use AI as a working tool. We’ve integrated AI intelligently into all of our daily practices- data management, data processing, documentation, and analysis. You will be expected to prompt well, iterate toward a usable answer, build repeatable workflows for recurring tasks, and QA AI output rather than trusting it. Being fast with these tools is a real part of the job, not a nice-to-have.
• Who you are
• An executor: Recurring work is only valuable if it lands on time, every time. You are the person who closes the loop.
• Curious about the why: You are not satisfied delivering a number you cannot explain. You dig until the story holds up.
• Skeptical of your own output: You check your work, you sanity-check totals, and you flag things that look wrong instead of shipping them.
• Comfortable being the connective tissue: You work across media planners, channel specialists, senior analysts, and partner agency teams without needing to be handed a script.

What you bring

• 5 to 7 years in marketing analytics, media measurement, or marketing data, ideally agency-side or at a consultancy
• Strong coding background- in at least one of Python, R, and SQL
• Experience building dashboards in Looker Studio, Tableau, or similar, and a real eye for making them readable
• Experience with a data aggregation or ETL layer such as Funnel.io, Supermetrics, Fivetran, or equivalent
• Working knowledge of paid media platform data (Meta, Google, and programmatic or CTV platforms) and web analytics (GA4 or a product analytics tool)
• Practical statistics. You should be comfortable with rates and indices, averages versus medians, variance and small-sample noise, period-over-period and test-versus-control comparisons, and knowing when a difference is too small to act on.
• Demonstrated fluency with LLM tools (Claude preferred) for data and analysis work, including prompt iteration and verification
• Bachelor's degree in a quantitative or analytical field, or equivalent practical experience

Nice to have

• Exposure to linear TV or CTV measurement, post-logs, spot-level data, or TV attribution methodologies
• Familiarity with incrementality testing, geo tests, or media mix modeling as a consumer of the output
• Experience working alongside a partner agency or embedded client team
• Compensation and location
• Base salary target: $130,000 to $150,000, commensurate with experience