Data Analytics Strategist

Job Overview

• As a seasoned Data Analytics Strategist, you will leverage your extensive experience in marketing, data analytics, statistics and machine learning to drive data-driven strategies and decision-making.
• You will lead a team of analysts, working closely with cross-functional teams and clients to design, implement, and optimize advanced analytics solutions that solve complex business challenges, ensuring measurable outcomes and delivering ROI.

Key Responsibilities

• Team Leadership & Development:
• Lead and mentor a team of analysts, fostering a culture of collaboration, innovation, and excellence.
• Provide training and 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.
• Evaluate model performance, 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 allocation 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. Create compelling data visualizations and dashboards tailored to client needs.
• Manage client expectations and deliver high-quality analytics projects timely.

Cross-Functional Collaboration:

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

Innovation & Continuous Improvement:

• Stay up-to-date with emerging trends in analytics, data science, machine learning, and ad-tech to identify new opportunities.
• Leverage cutting-edge tools and techniques to foster a culture of experimentation and continuous improvement.

Requirements and Skills

• Experience:
• At least 5 years of professional experience in analytics, data science, or related roles.
• At least 3 years' experience in the digital marketing industry is mandatory.
• Proven track record of managing analytics teams and delivering high-impact projects.

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).
• Familiarity with cloud platforms like GCP (BigQuery).
• Experience 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.
• Able to manage multiple projects in a fast-paced 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.