Senior Strategic Business Intelligence Analyst

Strategic Business Intelligence Professional

As a strategic business intelligence professional, you will leverage your extensive experience in marketing, data analytics, statistics, and machine learning to drive informed strategies and decision-making. Leading a team of analysts, you will work closely with cross-functional teams and stakeholders to design, implement, and optimize advanced business solutions that solve complex challenges, ensuring measurable outcomes and delivering ROI.

• Team Leadership & Development:
  • Lead and mentor a team of analysts, fostering a culture of collaboration, innovation, and excellence.
  • Provide training and guidance on business intelligence 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.
• 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.
• 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.

• 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.