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Data Strategist

2 weeks ago

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Analytics Manager Job Description

As an Analytics Manager, you will leverage your expertise in marketing, data analytics, statistics, and machine learning to drive strategic decision-making. You will lead a team of analysts, working 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 & AI Charter:

  • 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.

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.

Client Engagement & Delivery:

  • Act as a strategic advisor to clients, providing insights and recommendations based on advanced analytics.
  • Manage client expectations and ensure timely delivery of analytics projects.

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.
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