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For Companies At a Glance
- Tasks: Lead a team to deliver impactful analytics and insights across the business.
- Company: Join a forward-thinking company that values data-driven decision-making.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by turning data into actionable insights and recommendations.
- Qualifications: Strong SQL, Python skills, and experience in analytics roles required.
- Other info: Collaborative environment with a focus on innovation and career development.
The predicted salary is between 36000 - 60000 £ per year.
We’re hiring an Insights Manager to lead a small team and deliver high-impact, decision-ready analytics across the business. You’ll sit in the central Analytics function partnering cross-functionally with Data Engineering, BI, and Product to turn data into reusable, production-quality insight products—not just one-off dashboards. You’ll 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 You’ll 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 You’ll 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 7–10 years). If you’ve 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).
Insights Manager (Remote) employer: Forbes Advisor
Contact Detail:
Forbes Advisor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insights Manager (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your analytical prowess. This is your chance to demonstrate how you turn data into actionable insights.
✨Tip Number 3
Prepare for interviews by practising your storytelling. Be ready to explain your past projects and how they’ve impacted business decisions. Remember, it’s all about making your insights relatable!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Insights Manager (Remote)
Some tips for your application 🫡
Show Your Analytical Skills: When writing your application, make sure to highlight your analytical skills and experience. We want to see how you've turned data into actionable insights in the past, so share specific examples that showcase your expertise.
Tailor Your Storytelling: Craft your narrative to reflect the storytelling aspect of the role. We love candidates who can explain complex data in a simple way, so use your application to demonstrate how you’ve communicated insights effectively to stakeholders.
Highlight Team Leadership Experience: Since this role involves managing a team, don’t forget to mention your leadership experience. Talk about how you've coached analysts, set goals, and improved team performance—this will show us you're ready to take on the challenge.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Forbes Advisor
✨Know Your Analytics Inside Out
Make sure you’re well-versed in the analytical frameworks mentioned in the job description, like LTV attribution and funnel performance. Brush up on your SQL and dbt skills, as you'll need to demonstrate your technical toolkit during the interview.
✨Showcase Your Storytelling Skills
Prepare to discuss how you've turned data into actionable insights in previous roles. Be ready to share examples of how you’ve crafted narratives that explain complex data findings clearly and concisely, as this is crucial for influencing stakeholders.
✨Demonstrate Leadership Experience
Since this role involves managing a team, come prepared with examples of how you've coached analysts or led projects. Highlight your experience in setting goals and establishing a delivery rhythm, as this will show your capability in people leadership.
✨Be Ready for Technical Questions
Expect questions about your experience with tools like Tableau and cloud environments like GCP. Prepare to discuss specific projects where you’ve used these tools to deliver high-quality data insights, as this will showcase your practical experience.
