Chief Data Strategist

Business Analytics Leader

Drive data-driven decision-making by leveraging expertise in marketing, data analytics, statistics, and machine learning.

Lead a team of analysts to design, implement, and optimize advanced analytics solutions that solve complex business challenges, ensuring measurable outcomes and ROI.

Key ResponsibilitiesTeam Leadership & Development:

• Foster a culture of collaboration, innovation, and excellence among team members.
• Provide guidance on analytics best practices, tools, and methodologies.
• Ensure alignment of team goals with organizational objectives.

Strategic Analytics Planning:

• Collaborate with stakeholders to understand business objectives and design data-driven solutions.
• Translate complex business problems into actionable analytical frameworks.

Advanced Marketing Analytics & Modeling:

• Develop and oversee the implementation of predictive models, machine learning algorithms, and statistical analyses to solve business problems.
• Champion advanced analytics use cases, such as Market Mix Modeling (MMM), uplift modeling, incrementality studies, customer segmentation, lifetime value modeling, and real-time optimization.
• Ensure robust model evaluation, validation, and deployment processes.

Own the Analytics & AI Charter:

• Lead the development of end-to-end advanced analytics products, including predictive models, real-time dashboards, and proof-of concept (PoC) solutions to solve marketing challenges.
• Launch and manage experiments and PoCs across key areas like campaign optimization, media planning, budget optimization, and customer analytics.
• Drive the vision for analytics and AI capabilities, integrating them into the company's strategic roadmap.

Data Governance & Quality Assurance:

• Oversee data integrity, accuracy, and consistency across all analytics projects.
• Establish data governance policies and ensure compliance with data security standards.
• Streamline ETL processes for efficient data management.

Client Engagement & Delivery:

• Act as a strategic advisor to clients, providing insights and recommendations based on advanced analytics.
• Oversee the creation of compelling data visualizations and dashboards tailored to client needs.

Cross-Functional Collaboration:

• Work with marketing, product, and engineering teams to integrate analytics and AI solutions into decision-making processes and products.
• Drive alignment between analytics initiatives and broader business strategies.

Innovation & Continuous Improvement:

• Stay abreast of emerging trends in analytics, data science, machine learning, and ad-tech to identify new opportunities.
• Encourage a culture of experimentation, leveraging cutting-edge tools and techniques.

Requirements and SkillsExperience:

• 5+ years of professional experience in analytics, data science, or related roles.
• At least 3 years' experience in the digital marketing industry is mandatory.
• Experience in managing marketing analytics projects for international clients, specifically US and UK, is mandatory.
• Proven track record of managing analytics teams and delivering high-impact projects.
• Prior experience in conceptualizing and scaling AI/ML PoCs or data product initiatives is a plus.

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)
• Proficient in leveraging AI tools to enhance efficiency across analytics workflows and day-to-day deliverables.
• Experience with cloud platforms like GCP (BigQuery)
• Familiarity with data engineering practices and tools (e.g., Airflow, Snowflake) is an advantage.

Leadership & Collaboration:

• Exceptional leadership skills with the ability to inspire and motivate teams.
• Strong interpersonal skills to build effective relationships with stakeholders and clients.
• 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.
• 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.
• Experience in preparing executive-level reports and presentations.

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