Insights Manager (Remote)

📋 Description

• • We are seeking a highly motivated and experienced Insights Manager to join our central Analytics function and lead a small, high-performing team. This pivotal role is designed for an individual who thrives on transforming raw data into actionable, decision-ready insights that drive significant business impact. You will be instrumental in shaping our analytical capabilities, moving beyond one-off dashboards to create reusable, production-quality insight products.
• • As the Insights Manager, you will own the strategic direction and execution of analytical frameworks covering critical business areas such as customer retention, marketing attribution, and funnel performance. This involves defining the analytical models, collaborating closely with Data Engineering and Analytics Engineering to manage their build and rollout, and ensuring their robustness through rigorous testing and documentation.
• • A core responsibility will be translating complex business questions into well-defined data problems. You will articulate clear requirements for engineering and data science teams, meticulously reviewing the logic to ensure accuracy, clarity, and usability. This hands-on leadership role requires a deep understanding of data modelling and a keen eye for detail.
• • You will play a crucial role in shaping our experimentation strategy. This includes designing robust A/B tests and holdout experiments, defining key success metrics, and producing insightful readouts that directly inform product development and media investment decisions. Your ability to connect analytical findings to strategic outcomes will be paramount.
• • Leading a team of analysts is central to this position. You will foster a culture of proactive, decision-first analysis, moving beyond simple reporting to deliver narratives that explain not just what happened, but why it happened and, most importantly, what actions should be taken next. This requires strong coaching and mentorship skills.
• • A significant part of your role will involve elevating our existing Business Intelligence assets. You will partner with the BI team to evolve Tableau dashboards into scalable, self-serve intelligence solutions, rationalizing overlapping views and ensuring data consistency and accessibility across the organization.
• • Collaboration with Data Engineering and Analytics Engineering is key. You will work hand-in-hand to transform analytical logic into robust, production-grade dbt models, implementing best practices for testing, version control, and continuous integration (CI) to ensure data quality and maintainability.
• • You will be responsible for briefing and reviewing data requirements for new data pipelines and sources, including vital platforms like GA4, Google Ads, Meta, and affiliate partner data. This ensures our data foundation is comprehensive and accurate.
• • This role offers an exciting opportunity to contribute to the cutting edge of data analytics by collaborating with BI Ops and Product teams on AI and GPT-assisted insights. This could involve developing automated narrative generation, anomaly detection, or assisted readout capabilities.
• • As a people leader, you will directly manage a team of 2-3 analysts, potentially providing dotted-line mentorship to junior team members. Your responsibilities will include setting clear goals, providing regular coaching and performance reviews, and consistently working to uplevel the analytical standards and skills within the team.
• • You will establish and refine a repeatable, efficient delivery rhythm for the analytics team, encompassing intake, prioritization, execution, readout, and productization phases. This structured approach will ensure predictable delivery and high-quality output.
• • Stakeholder management is critical. You will own the stakeholder map and communication cadence with key departments such as SEM, Product, RevOps, and General Managers. This involves setting clear expectations, aligning on objectives, and maintaining a transparent delivery roadmap.
• • You will be responsible for creating concise summaries and presenting findings to senior stakeholders, translating complex analysis into clear, actionable recommendations that drive business decisions. Documenting agreed-upon actions, owners, and timelines will be essential for accountability.
• • A key skill will be the ability to effectively triage and prioritize inbound requests against team capacity. This includes constructively saying 'no' or 'not now' when necessary, while always offering alternative solutions or timelines.
• • You must be adept at surfacing potential risks early, facilitating discussions around trade-offs, and driving resolutions collaboratively with your team, Data Engineering, BI, and business partners.
• • This role offers significant influence on the company's data strategy and product development, providing a unique opportunity to make a tangible impact in a data-driven organization.