Job Role: Business Analyst (Data & Insights)

Experience: 4 to 7 years
Location: Remote

Job Summary

The ideal candidate will work closely with stakeholders to understand key business challenges, define analytical objectives, and present data-driven recommendations that drive strategic decision-making. Proficiency in Excel, SQL, and Python is essential, along with the ability to craft compelling, executive-level presentations. Experience in the automobile industry is an advantage, as the role involves working with industry-specific data challenges.

Key Responsibilities

• Partner with business stakeholders to understand challenges, define analytical objectives, and translate data into strategic insights.
• Analyze large datasets using Excel, SQL, and Python to identify trends, uncover patterns, and generate meaningful business recommendations.
• Develop and deliver executive-level presentations (PowerPoint) that effectively communicate insights, ensuring clarity and impact for diverse audiences.
• Present findings and recommendations in a structured and compelling manner, catering to both technical and non-technical stakeholders.
• Experience with data visualization tools (Power BI, Tableau) is a plus.
• Collaborate with cross-functional teams to ensure insights align with broader business objectives and drive measurable outcomes.

Required Skills & Experience

• Strong communication and presentation skills, with the ability to articulate complex data insights clearly and persuasively to senior stakeholders.
• Advanced proficiency in Excel, including pivot tables, complex formulas, and data modelling.
• Experience creating professional, executive-level presentations (PowerPoint) that distill data into clear, impactful narratives.
• Expertise in SQL, with experience in querying, joins, and aggregations for data extraction and analysis.
• Proficiency in Python (Pandas, NumPy, Matplotlib) for data manipulation and automation.
• Familiarity with data visualization tools (Power BI, Tableau) is an advantage.
• Experience in the automobile industry is preferred, offering valuable context for industry-specific data challenges.
• Strong problem-solving skills and the ability to manage and interpret large datasets effectively.