t Jellyfish, we believe in the power of diverse perspectives and inclusive collaboration. We welcome individuals who excel in collaborative, varied teams and value the unique contributions that each person brings to the table.

Jellyfish is a global digital marketing agency; a unique fusion of tech enthusiasts, creative minds, and media and data experts all united to empower our clients along their digital journey. Our commitment to embracing diverse perspectives fuels our innovation and strategies that challenge the status quo, reinvent media activation, and craft influential stories for our global clients and their customers. Join us in shaping a future where business growth and personal fulfilment go hand in hand.

Job Description

Reporting to our Analytics Director, you will create impact in the Analytics Team, within our Martech Capability. We take pride in our work with some of the largest advertisers in APAC, setting us apart in the industry.

The Analytics Manager is the analytics lead and day-to-day contact on a set of named accounts, accountable for what gets built and for the data clients make decisions on. You build and QA the implementation yourself, write SQL daily, and train the people who use what you deliver.

At Jellyfish, we are committed to promoting professional growth. Your career path could lead to becoming the global subject matter expert for the latest advanced technical solutions.

Your primary responsibilities will include:

Technical consulting and subject matter expertise

• Be the subject matter expert your clients come to on digital measurement. Understand their commercial questions and their constraints, and turn a loose ask into a solution they can act on.
• Recommend the approach, not just the build. Set out the options and trade offs in language a marketer understands, and say so when what has been asked for is not what is needed.
• Stay current on the platforms and the privacy landscape, and bring that to clients before they ask.

Measurement implementation

• Translate client requirements into tracking plans, data layer specifications and implementation guides.
• Design, build and QA web and app tracking in GA4, and monitor it in life. Keep the tracking spec current as a deliverable in its own right.

Tag management

• Build in client side Google Tag Manager to a high standard: custom templates, triggers, variables, versioning and workspace hygiene.
• Work in server side GTM containers, send events into conversion APIs such as Meta Conversions API, Google enhanced conversions and TikTok Events API, and debug payloads, latency and cost.

SQL and analysis

• Write SQL daily. Query event level data in BigQuery to validate tracking against the raw data, build reporting datasets, and build reporting in Looker Studio.
• Read the numbers well enough to explain what happened, what to do next, and how far a test result can be trusted.

Modern measurement

• Understand how measurement fits within marketing today, and what each method can and cannot answer: platform attribution, incrementality and holdout testing, geo testing, causal impact analysis and marketing mix modelling.
• Know what those methods need from you, so the tracking, conversion values and media data you deliver can feed them.
• Advise a client on which approach suits their question, and bring in specialists beyond that. You are not expected to build the models.

Media reporting

• Aggregate media data from platform APIs using tools such as Funnel, and blend it with site and app data into reporting datasets that stand up to scrutiny.
• Design the tables and dashboards clients actually use: consistent campaign taxonomy, clear metric definitions, and a structure that answers the question rather than showing everything.
• Keep reporting accurate as taxonomies and platform metrics change, and spot a wrong number before the client does.

Identity, consent and privacy

• Implement consent mode and consent management platform configuration, and support first party identity work such as user ID and hashed email matching.
• Understand what browser signal loss does to measurement, and design tracking that stands up to a privacy review.

AI in delivery and measurement

• Use AI tools in your own delivery, for example drafting and debugging GTM templates, SQL, QA scripts and documentation, with your review before anything ships.
• Understand what automated buying such as Performance Max and Advantage Plus has done to measurement, and why clean, consented, deduplicated first party data is what makes it work.
• Measure the part of the journey that never reaches the website. Understand how people research and buy through AI assistants and AI search, and report on brand visibility in AI generated answers using our proprietary measurement.
• Follow the rules on which tools client data may enter, check AI output for accuracy, and explain to a client where an AI generated insight stops being reliable.
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