Insights Manager (Remote)

London - UK

Monthly Salary: Not Disclosed

Posted on: 21 hours ago

Vacancies: 1 Vacancy

Job Summary

Were hiring an Insights Manager to lead a small team and deliver high-impact decision-ready analytics across the business. Youll sit in the central Analytics function partnering cross-functionally with Data Engineering BI and Product to turn data into reusable production-quality insight productsnot just one-off dashboards.

Youll define analytical models (e.g. LTV attribution consumer insight and performance) manage and QA their build with Engineering/Analytics Engineering and elevate stakeholder decision-making through sharp storytelling and clear recommendations. This is a hands-on leadership role with direct line management and real influence on what we build and why.

Where Youll Drive Impact

Insight Products & Modelling

Define and own analytical frameworks for retention attribution and funnel performance; manage the build and rollout with DE/AE.

Translate business questions into well-scoped data problems and engineering and data science requirements; review logic and ensure documentation is clear and usable

Shape experiment design (A/B holdouts) success metrics and readouts that drive product and media decisions.

Analytics Delivery & Storytelling

Lead a team of analysts to deliver proactive decision-first analysis (not just reporting).

Produce campaign and business narratives that explain what happened why it happened and what to do next.

Partner with BI to evolve Tableau assets into scalable self-serve intelligence; rationalise overlapping views.

Collaboration & Engineering Partnership

Work closely with Data Engineering/Analytics Engineering to turn insight logic into robust dbt models with testing versioning and CI.

Brief and review data requirements for new pipelines and sources (GA4 Google Ads Meta affiliate/partner data).

Contribute to AI/GPT-assisted insight (e.g. automated narratives anomaly triage assisted readouts) in collaboration with BI Ops and Product.

Team Leadership

Line-manage 23 direct reports (with potential dotted-line mentorship of juniors): set goals coach review and uplevel standards.

Establish a repeatable delivery rhythm (intake prioritisation delivery readout productisation).

Raise the bar on analytical quality documentation and reuse across the team.

Stakeholder Management & Influence

Own the stakeholder map and cadence (SEM Product RevOps GMs): set expectations align on goals and keep a clear delivery roadmap.

Create summaries for senior stakeholders and present findings that translate analysis into decisions; document actions owners and timelines.

Triage and prioritise inbound requests against team capacity; say no (or not now) constructively with alternatives.

Surface risks early align trade-offs and drive resolution with your team Data Engineering/BI and business partners.

What Youll Bring

Technical toolkit: Strong SQL and dbt (data modelling tests documentation); Python for analysis/modelling (pandas scikit-learn NumPy); comfort with Git-based workflows.

BI experience: Strong with Tableau (or similar: Looker Power BI) including performance optimisation and stakeholder-ready design.

Cloud experience: Experience working in GCP or similar cloud environments to deliver high quality data at scale

Marketing & product fluency: Working knowledge of GA4 Google Ads Meta and growth/monetisation levers.

Modelling background: Practical experience with attribution segmentation conversion prediction and experiment analysis.

Storytelling & influence: Ability to frame insights as clear recommendations tied to business impact; excellent written and verbal communication.

People leadership: Experience coaching analysts reviewing work and running a predictable analysis delivery process.

Experience level: Significant experience in analytics/insights roles in data-rich environments (typically 710 years). If youve built equivalent capability faster we still want to hear from you.

Nice to Have

Experience in affiliate/lead-gen or performance marketing environments.

Exposure to LLMs/GPT for narrative generation classification or assisted analysis.

Statistical depth (causal inference basics uplift modelling Bayesian thinking).

Additional Information :

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This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.

#LI-REMOTE #LI-NM1

Remote Work :

Yes

Employment Type :

Full-time