
Data Analytics Strategist
2 days ago
Job Overview
We are seeking a seasoned professional to lead our analytics efforts. As an Analytics Leader, you will leverage your expertise in data analytics, statistics, and machine learning to drive strategic decision-making. You will oversee a team of analysts, collaborate with cross-functional teams, and design advanced analytics solutions that solve complex business challenges.
Key Responsibilities
- 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 (Extract, Transform, Load) 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.
Requirements and Skills
- Experience:
- 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.
- 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.
What We Offer
A dynamic work environment with opportunities for growth and development.
An exciting opportunity to make a meaningful impact on the business.
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