
Driving Business Growth through Data-Driven Decision Making
4 days ago
Job Overview:
As a Business Analytics Leader, you will drive data-driven strategies and decision-making. You will lead a team of analysts and work with cross-functional teams and clients to design, implement, and optimize advanced analytics solutions that solve complex business challenges.
Key Responsibilities:- Team Leadership & Development:
- Lead and mentor a team of analysts to foster a culture of continuous learning and growth.
- Provide training and guidance on analytics best practices to ensure high-quality deliverables.
- Strategic Analytics Planning:
- Collaborate with stakeholders to understand business objectives and develop tailored analytics solutions.
- Design and implement data-driven strategies to drive business growth.
- Advanced Marketing Analytics & Modeling:
- Develop predictive models and machine learning algorithms to drive business outcomes.
- Champion advanced analytics use cases to stay ahead of the curve.
- Own the Analytics & AI Charter:
- Lead the development of end-to-end advanced analytics products to meet business needs.
- Launch and manage experiments and PoCs to drive innovation.
- Data Governance & Quality Assurance:
- Oversee data integrity and accuracy to ensure reliable insights.
- Establish data governance policies to maintain high standards.
- Client Engagement & Delivery:
- Act as a strategic advisor to clients, providing expert guidance on analytics.
- Manage client expectations and deliver results-driven solutions.
- Cross-Functional Collaboration:
- Work closely with marketing, product, and engineering teams to drive business outcomes.
- Innovation & Continuous Improvement:
- Stay up-to-date with emerging trends in analytics and data science to drive innovation.
- 5+ years of professional experience in analytics, data science, or related fields.
- At least 3 years' experience in the digital marketing industry.
- Experience in managing marketing analytics projects for international clients.
- Proven track record of managing analytics teams and delivering high-impact projects.
- Advanced proficiency in Python, SQL, and statistical techniques.
- Expertise in machine learning techniques and frameworks.
- Strong experience with data visualization tools.
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