Manager Data Analytics

2 months ago

Copenhagen, Denmark Publicis Sapient Full time

Job Description

We are looking for a highly skilled Manager Data Analytics who possesses exceptional strategic, analytical, and technical expertise, along with strong stakeholder management, communication, and presentation skills. You should be eager to contribute to the growth and success of a small, dedicated team that is driven by innovation and excellence.

In this role, you will play a key part in our evolving Data & Insights practice. You will collaborate closely with both internal and external sources of quantitative and qualitative data, as well as other key inputs. Your primary responsibilities will include crafting comprehensive data strategies, generating actionable insights, and developing compelling data narratives. You will also be responsible for designing and delivering measurement frameworks, performance plans, and executive-level presentations that clearly demonstrate the impact of our marketing activities.

Qualifications

Experience working in a data analytics/data-centric business environment with a strong foundation in data strategy. Consulting background, or agency team orientation preferred. Entrepreneurial and self-starter mindset, with excellent problem-solving skills. Excellent leadership skills, with a focus on empathetic leadership, together with a team-player attitude. Expert communicator, both verbally and written

Main responsibilities

Analyze business needs, define requirements, and build data strategies that drive impactful, data-driven decisions. Develop and steer the organization’s data strategy, including architecture, reporting, analytics, and AI/machine learning. Create clear, visual data frameworks and KPI definitions for measuring performance. Utilize Journey Management practices to enhance analysis of customer journeys and campaigns. Manage and maintain a knowledge repository for third-party insights and research. Facilitate workshops to brainstorm and develop complex data solutions. Guide teams in structuring and implementing across the Marketing Technology Stack to track and measure success. Promote a test-and-learn approach for optimizing web performance, media investments, and product features. Advance attribution strategies by tracking and analyzing the impact of marketing activities. Translate data into actionable insights for stakeholders and clients.

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