Descripción del trabajo
What we are looking for someone who has experience with :
* Data Analysis and Interpretation : Understanding how to extract meaningful insights from data and making data-driven decisions.
* Business Intelligence : Using data to drive strategic business decisions and providing data visualization to communicate insights effectively.
* Statistical Analysis : Proficiency in statistical methods and their application to decision making & analytics / data science problems.
* Stakeholder management : Developing and implementing processes to align analytics and insight team backlog and priorities to business-related objectives leveraging a cross-functional and outcome-driven mentality.
* Experience in leading analytics and / or data science and / or insights teams, ideally at a head of level or senior IC.
* Experience in developing and implementing data-driven strategies to drive business growth and decision-making.
* Proven ability to use analytics and statistical methods to derive insights and create business value.
* Communication and leadership skills to effectively collaborate with cross-functional teams and senior stakeholders.
What you'll be doing :
Impact :
* Support the CMO in their financial and product objectives with a strong focus on developing analytics capabilities, insights generation, and decision science setup.
* Collaborate with Data Engineering and Data Science teams to develop solutions that enable your team and develop a self-service mentality around data aimed to increase data literacy and focus analysts on more rewarding and forward-thinking work.
* Lead the Marketing Integration data capability team, setting the vision, strategy, and defining the roadmap for the team alongside the technical and product leads.
Analytics and Insight team :
* Develop clear and compelling objectives for the team you lead, leveraging your understanding of company strategy and the area(s) you are supporting.
* Develop metrics frameworks and decision rules to enable better marketing objectives and outcomes.
* Develop solutions to track and optimize marketing budget.
* Master our new customer obsession superpower by mapping how analytics, insights, and data can help improve acquisition and activation.
* Promote the usage of the insights generation loop to keep generating them with increasing quality and turnaround, building credibility in your team and pushing towards self-service analytics.
Team & Culture :
* Develop your team and build a top talent team.
* Review team structure and redesign as required to ensure a scalable, effective, and lean organization, promoting true collaboration across teams and clearly defining accountability.
* Constantly review skills of your team, tools, and processes contributing to the continuous development of our data infrastructure and the data knowledge base.
* Promote a culture of 360 continuous feedback.
* Be rigorous and consistent in assessing performance, recognizing outperformance and addressing underperformance, if necessary, by exiting individuals and making new hires to upgrade talent as required.
* Create a succession plan for yourself beyond. Ensure a high level of talent retention among top performers.
* Actively contribute and execute actions to improve the analytics maturity of your area and the entire company.
Delivery focus :
* Coordinate effort allocation within your team.
* Coordinate cross-functionally (data engineering, data capabilities, data science) to ensure the majority of the effort is allocated to shared objectives and outcomes.
* Balance constantly between quick wins and long-term work, avoiding the stakeholder requests trap.
* Manage key deliverables and timelines across teams.
* Partner actively with stakeholders, implementing processes and discipline (e.g. OKRs) to refresh the roadmap.
* Partner closely with the Data teams (Engineering, Data Capabilities, and Data Science) to shorten product development cycles, improve solutions available to your team, and deliver the data enable company vision.
* Foster a culture of innovation, encouraging ideation and experimentation rather than sticking to what works or the path of least resistance.
Lead by example :
* Be critical but fair, always offering alternatives with a growth mindset.
* Support your peers by offering help and constantly promoting the evolution of the analytics and insights organization.
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