Senior Analytics Manager
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Benefits offered by this job
Job summary
Jellyfish is seeking a Senior Analytics Manager to lead measurement architecture across enterprise accounts in APAC. You will own the design, governance and escalation for complex client projects, including server-side GTM migrations and conversions API integrations.
The role focuses on establishing QA standards, guiding teams, and translating analysis into actionable business recommendations for senior marketers across global accounts.
Qualifications
- Deep GA4 expertise and event design.
- Expert in client-side GTM with migration experience.
- Strong SQL and data warehousing knowledge.
- Experience designing incrementality and holdout tests.
- Familiar with Funnel or equivalent data platforms.
Responsibilities
- Own measurement conversations with senior clients and shape briefs.
- Set QA standards, documentation and tracking specs.
- Lead end-to-end complex engagements, migrations and replatforms.
- Oversee server-side GTM migrations and APIs integrations.
- Define tagging governance and data layer standards.
- Develop analytics strategies and present actionable recommendations.
- Mentor Managers and Executives, building scalable documentation.
Skills
Tools
Job description
At 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.
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 Senior Analytics Manager owns the measurement approach across a set of enterprise accounts. You are the person the team escalates to, and the person clients ask for when the question is hard. You still build, but your value is in the design, the standard you hold others to, and the people you bring up behind you.
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.
Own the measurement conversation with senior client stakeholders across your accounts. Shape the brief before it becomes a brief, and connect measurement decisions to the commercial outcome the client is chasing.
Be the escalation point in market for the hardest technical questions, and the person who says no to a solution that will not hold.
Set the point of view the team takes to clients on platforms, privacy and AI, and keep it current as those change.
Own solution design across your accounts: measurement architecture, data layer standards, event taxonomy and naming, and the decisions your Managers escalates to you.
Review other people's builds before they ship. Set the QA bar, the documentation standard and the tracking spec format, and hold the team to them.
Lead complex and global engagements end to end, including migrations and replatforms, and be accountable when they land.
Lead server side GTM migrations: container design, hosting on Google Cloud, Cloudflare or a managed provider, and event transport into conversion APIs such as Meta Conversions API, Google enhanced conversions and TikTok Events API. Own latency, payload design and running cost as design constraints, not afterthoughts.
Resolve the debugging nobody else can, across client side and server side containers.
Own tagging governance across your accounts: workspace and versioning discipline, shared template libraries, and patterns that get reused rather than rebuilt.
Strong SQL. Design the warehouse models and reporting datasets your accounts run on, and review the queries behind any number that goes to a client.
Turn analysis into a recommendation a senior marketer will act on, and be clear about how much confidence it deserves.
Recommend and scope the right measurement approach for a client question, across platform attribution, incrementality and holdout testing, geo testing, causal impact analysis and marketing mix modelling.
Design and run incrementality and geo tests, and brief the specialists who build the models on what the model needs from your data.
Interrogate results before a client sees them. Know where a method breaks down and say so.
Set the reporting standard across your accounts: campaign taxonomy, metric definitions, and reporting frameworks that get reused rather than rebuilt per client.
Own the media data pipeline into the warehouse using tools such as Funnel, and the quality of what comes out of it.
Own the first party identity and consent approach on your accounts, including user ID strategy, hashed email matching, consent mode and CMP configuration.
Work with client privacy and legal teams, design measurement that survives a privacy review, and be honest with clients about what signal loss costs them.
Set the standard for how the team uses AI in delivery, including what may be automated, what must be reviewed, and which tools client data may enter.
Own the measurement response to automated and agentic buying: signal quality, conversion value accuracy, deduplication, and the first party data that makes value based bidding work.
Own the approach to AI search and assistant driven discovery on your accounts, including how brand visibility in AI generated answers is measured and reported using our proprietary measurement, and how that sits alongside conventional analytics.
Judge where an AI generated insight stops being reliable, and make sure nobody on your team presents one that has not been checked.
Design and run training for clients based on what they have asked for, pitched at the seniority of the room, and write the documentation and how to guides that go with it.
Train the wider team where a skills gap shows up, and work with the Analytics Director to agree where those gaps are and what to prioritise.
Coach and mentor Managers and Executives so they progressively take on more complex work, and give feedback that is specific enough to act on.
Build documentation that makes the knowledge outlast the person who has it.
Own renewals across your accounts, including GA360 licences, and protect quality when commercial pressure builds.
Scope and estimate work, and support Growth on pitches and new business, including the technical narrative and the measurement approach.
Identify opportunities to grow the web and app analytics business in market, and make the case for them.
Deep GA4 expertise, covering property architecture, event design, debugging and the limits of the platform.
Expert client side GTM, and demonstrable experience leading server side GTM implementations or migrations, including conversion API integrations.
Strong SQL in BigQuery or an equivalent warehouse, with experience designing the data models behind client reporting. Reporting built in Looker Studio, Looker, Power BI or Tableau.
Practical experience specifying or running incrementality, geo or holdout tests, and working knowledge of marketing mix modelling and causal inference. You do not need to have built the models, but you need to know what they require and where they fail.
Experience with a media data aggregation platform such as Funnel or an equivalent, and with setting campaign taxonomy standards across the major paid media platforms.
Confident in JavaScript and HTML for tagging, debugging and data layer work, and experience with APIs and mobile app tracking.
Experience with Google Cloud Platform.
Experience owning consent mode, a consent management platform and first party identity design, and comfortable in a conversation with a client privacy or legal team.
A clear view on AI in measurement, covering its use in delivery, its effect on media buying, and how to measure assistant driven discovery.
Experience mentoring or line managing analysts, and evidence that people have grown under you.
Credible with senior client stakeholders, and comfortable in scoping, pitching and difficult commercial conversations.
Working experience of an analytics platform other than GA4, such as Adobe Analytics, Piwik Pro or a product analytics tool.
Experience with a mobile measurement partner such as AppsFlyer, Adjust or Branch, covering SDK implementation, attribution setup, deep linking and the platform attribution frameworks.
Experience working across markets or on global accounts. Note: We emphasise skills, expertise and behavioural attributes over years of experience and traditional degrees.
Additional Information
Join Jellyfish and experience a workplace where we prioritise your growth, celebrate your contributions, and empower you to tailor your work environment to suit your needs.
Reward: You'll be eligible to join our discretionary annual bonus scheme.
Custom Work Environment: Work remotely for up to 60% of your days and shape your day between 8am. and 6:30pm with flexible working hours.
Family Support: Enjoy 14 weeks of paid leave for primary caregivers and 4 weeks of paid leave for secondary caregivers. We also provide £1000 (or equivalent) towards courses for returning primary caregivers to support your transition back into work.
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