
Senior Data Analyst
8 hours ago
As a seasoned professional in the field of analytics, you will leverage your expertise to drive data-driven strategies and decision-making.
- 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.
- Ensure robust model evaluation, validation, and deployment processes.
- 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.
- 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.
- Innovation & 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.
Key Requirements include:
- 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.
- Advanced proficiency in Python, SQL, and Statistical techniques is required.
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