Chief Analytics Strategist

2 weeks ago

Vadodara, Gujarat, India beBeeData Full time ₹ 2,50,00,000 - ₹ 3,50,00,000
Chief Analytics Strategist

We are seeking a seasoned analytics leader to spearhead our data strategy, drive innovation, and inform business decisions across the organization.

  1. Data Strategy Leadership - Define and drive the enterprise-wide analytics strategy, aligning initiatives with overall business goals and digital transformation priorities.
  2. Formulate a comprehensive analytics roadmap aligned with the organization's objectives, focusing on improving operational efficiency.
  3. Oversee the design and maintenance of a centralized data repository, ensuring scalability, security, and accessibility for cross-functional analytics initiatives.
  4. Identify key use cases, such as leveraging AI to predict market demand, optimize pricing strategies, or enhance employee training programs.
  5. Apply predictive analytics to monitor production KPIs and identify bottlenecks through historical data analysis.
  6. Stakeholder Engagement - Collaborate with executive leadership, functional heads, and IT to identify analytics needs, translate business questions into actionable insights, and develop interactive dashboards.
  7. Leadership: Lead the analytics team, provide strategic insights to the C-suite, and foster a data-driven culture.
  8. Data-Driven Decision Support - Deliver KPIs, scorecards, and predictive models to enable strategic decision-making, promote advanced analytics initiatives, and scenario planning.
AI & Data Science Enablement

Spearhead AI and machine learning initiatives, including hands-on leadership in deploying large language models and identifying data science-driven opportunities across the organization.

Data Governance & Quality

Ensure best practices in data governance, security, and quality management to uphold data integrity and compliance.

Education Qualification:
  • Bachelor's or master's in computer science, statistics, or related field. PhD is a plus.
Experience:
  • 10+ years of experience in analytics, data architecture, or related roles.
  • Strong knowledge of data modelling techniques.
  • Understanding of SQL, Python, R, and at least one cloud platform.
  • Experience with modern data warehousing tools (Snowflake, BigQuery, Redshift) and orchestration (Airflow, DBT).
Technical Competencies/Skills:
  • Analytics tools (Data Lake, Tableau), and integration with other systems.
  • Deep understanding of manufacturing processes and best practices.
  • Proven track record of implementing enterprise analytics solutions and predictive modeling at scale.
  • Strong hands-on experience with tools like Power BI, Tableau, Python/R, SQL, and cloud platforms (AWS/GCP/Azure) or any other relevant cloud platform.
  • Experience setting up and managing data lakes and developing end-to-end data pipelines.
  • Sound understanding of AI/ML techniques, LLMs, GenAI tools, and emerging technologies in data science.
  • Experience with modern data warehousing tools (Snowflake, BigQuery, Redshift) and orchestration (Airflow, DBT).
Behavioural Competencies:
  • Strong leadership and team management skills.
  • Excellent communication and interpersonal skills.
  • High level of initiative and proactive approach to problem-solving.
  • Ability to work under pressure and manage multiple priorities.
  • Excellent verbal and written communication skills, with the ability to present complex information to both technical and non-technical stakeholders.
  • Strong analytical and problem-solving skills, with the ability to make data-driven decisions.

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