
Data-Driven Leader
1 day ago
Job Overview:
As a Senior Business Intelligence Specialist, you will play a crucial role in driving data-driven strategies and decision-making across the organization. You will lead a team of analysts and work closely with cross-functional teams and clients to design, implement, and optimize advanced analytics solutions that solve complex business challenges.
Key Responsibilities:
- 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.
- Ensure robust model evaluation, validation, and deployment processes.
Analytics Strategy & Governance:
- 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.
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.
- Manage client expectations and ensure timely delivery of analytics 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).
- 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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