Analytics Manager

Requirements

Team Leadership and 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
• Develop long-term analytics roadmaps and strategies that align with client and company goals
• Translate complex business problems into actionable analytical frameworks
  

Advanced Analytics Implementation:

• 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
  

Data Governance and 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 (Extract, Transform, Load) processes for efficient data management
  

Client Engagement and 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
• Manage client expectations and ensure timely delivery of analytics projects
  

Cross-Functional Collaboration:

• Work with product and marketing teams to integrate analytics into decision-making processes
• Drive alignment between analytics initiatives and broader business strategies
  

Innovation and 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:

• 4-5+ years of professional experience in analytics, data science, or related roles
• Proven track record of managing analytics teams and delivering high-impact projects
• Experience in the ad-tech or digital marketing industry is a plus
• 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)
• Experience with cloud platforms like GCP (BigQuery) or AWS (RedShift)
• Familiarity with data engineering practices and tools (e. g., Airflow, Snowflake) is an advantage
• 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
• 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
• 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