Data Insights Strategist

2 days ago

Aurangabad, Maharashtra, India beBeeAnalytics Full time ₹ 17,83,424 - ₹ 21,99,936

As a highly skilled Data Insights Strategist, you will drive business growth by leveraging data-driven strategies and decision-making.

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.

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.

Required Skills & Qualifications
  • 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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