CEAT Tyres Recruitment 2024

As our Business Analyst, you'll be the bridge between data and decision-making. From analyzing market trends and competitor activity to identifying growth opportunities and optimizing internal processes, you'll be the architect of data-driven strategies, ensuring CEAT Tyres stays ahead of the curve and maintains its position as a leader in the Indian tyre market.

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Responsibilities:

• Gather, analyze, and interpret market data, customer feedback, and internal performance metrics to gain actionable insights.
• Identify trends, patterns, and opportunities for growth and revenue optimization across various business segments.
• Develop and implement data-driven strategies to improve operational efficiency, resource allocation, and marketing effectiveness.
• Collaborate with cross-functional teams across sales, marketing, finance, and operations to translate insights into actionable plans.
• Communicate complex data and analysis in a clear, concise, and impactful manner to stakeholders at all levels.
• Develop and maintain data visualization tools and dashboards to track progress and measure the effectiveness of implemented strategies.
• Stay up-to-date on industry trends and technological advancements in data analysis and business intelligence.

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Skills:

• Minimum Bachelor's degree in Business Administration, Economics, Statistics, or a related field (experience in data analysis or business intelligence is a plus!).
• Strong analytical and problem-solving skills, with the ability to identify key drivers of performance and formulate solutions.
• Excellent communication and presentation skills, able to effectively communicate complex data and insights to diverse audiences.
• Proficiency in data analysis tools and techniques (MS Excel, SQL, Tableau, Power BI, etc.).
• Understanding of the automotive industry and tyre market trends is a plus.
• The ability to work independently and as part of a team in a fast-paced environment.
• A proactive and results-oriented attitude with a passion for data-driven decision-making.