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Chief Data Strategist
2 weeks ago
In this pivotal role, you will spearhead the development and implementation of advanced analytics solutions to drive informed decision-making and strategic business growth.
You will lead a high-performing team of analysts in designing, executing, and optimizing data-driven initiatives that deliver measurable outcomes and drive return on investment. Collaborate with cross-functional stakeholders to align analytics objectives with business goals and foster a culture of innovation and excellence.
Key Responsibilities:
- Team Leadership & Development: Foster a collaborative environment, provide training and guidance on analytics best practices, and ensure alignment of team goals with organizational objectives.
- Strategic Analytics Planning: Translate complex business problems into actionable analytical frameworks and collaborate with stakeholders to understand business objectives and design data-driven solutions.
- Advanced Marketing Analytics & Modeling: Develop and oversee the implementation of predictive models, machine learning algorithms, and statistical analyses to solve business problems.
- Data Governance & Quality Assurance: Oversee data integrity, accuracy, and consistency across all analytics projects and establish data governance policies to ensure compliance with data security standards.
- Client Engagement & Delivery: Act as a strategic advisor to clients, providing insights and recommendations based on advanced analytics, and manage client expectations and ensure timely delivery of analytics projects.
- Cross-Functional Collaboration: Work with marketing, product, and engineering teams to integrate analytics and AI solutions into decision-making processes and products.
Requirements and Skills:
- Experience: 5+ years of professional experience in analytics, data science, or related roles, with at least 3 years' experience in the digital marketing industry, specifically managing marketing analytics projects for international clients, including the US and UK.
- Technical Expertise: Advanced proficiency in Python, SQL, and statistical techniques, strong experience with machine learning techniques and frameworks (e.g., TensorFlow, Scikit-learn), expertise in data visualization tools (Power BI, Tableau), and proficiency in leveraging AI tools to enhance efficiency across analytics workflows and day-to-day deliverables.
- Leadership & Collaboration: Exceptional leadership skills with the ability to inspire and motivate teams, strong interpersonal skills to build effective relationships with stakeholders and clients, and the ability to manage multiple projects in a fast-paced, agile environment.
- Strategic Thinking: Deep understanding of marketing analytics concepts like marketing mix modeling, media budget allocation, and campaign optimization, and the ability to think critically and solve complex business problems with data-driven solutions.
- Communication: Excellent written and verbal communication skills with the ability to present complex data insights to non-technical audiences and experience in preparing executive-level reports and presentations.
