
Business Intelligence Leader
2 weeks ago
Job Title:
Business Intelligence LeaderThis position is responsible for driving strategic decision-making through data-driven insights. As a Business Intelligence Leader, you will oversee the development and implementation of advanced analytics solutions to address complex business challenges.
Key Responsibilities:
- Lead a team of analysts in developing and deploying predictive models, machine learning algorithms, and statistical analyses to solve business problems.
- Collaborate with stakeholders to understand business objectives and design data-driven solutions.
- Translate complex business problems into actionable analytical frameworks.
Advanced Analytics Expertise:
- 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.
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.
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.
Requirements and Skills:
- 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.
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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