1 - 3 years
0 Lacs
Posted:4 days ago|
Platform:
On-site
Full Time
We are seeking a highly analytical and detail-oriented Market Intelligence Engineer to support strategic decision-making in the Indian automotive components sector. This role involves gathering, analyzing, and synthesizing market data, customer insights, and competitive intelligence to provide actionable recommendations. The ideal candidate will have a strong understanding of the Indian automotive ecosystem, especially Tier-1 suppliers.
- Monitor and analyze trends in the Indian automotive components market.
- Track regulatory developments, technology shifts, and macroeconomic indicators impacting the industry.
- Identify growth opportunities and risks through structured market research.
Customer & Competitor Insights
- Develop detailed customer profiles and segmentations.
- Analyze competitor strategies, product portfolios, pricing, and positioning.
- Maintain a dynamic competitor intelligence dashboard.
- Prepare comprehensive reports, presentations, and dashboards for internal stakeholders.
- Translate complex data into clear insights and strategic recommendations.
- Support leadership with decision points derived from synthesized intelligence.
Collaboration & Stakeholder Engagement
- Work closely with product management, sales, and strategy teams.
- Liaise with external research agencies and data providers.
- Bachelors or Masters degree in Engineering, Business, Economics, or related field.
- 1-2 years of experience in market intelligence, business analysis, or strategy roles within the automotive or manufacturing sector.
- Proficiency in data analysis tools (Excel, Power BI, Tableau) and market research methodologies.
- Excellent communication and presentation skills.
- Ability to synthesize complex information into actionable insights.
- Experience with syndicated market data (e.g., IHS Markit, Frost & Sullivan).
- Familiarity with automotive megatrends (e.g., electrification, ADAS, connectivity).
- Strategic mindset with a hands-on approach to data and analytics.
Continental
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