Company Overview:

GoMechanic is India's largest network of technology-enabled car service centers, offering a seamless and transparent car servicing experience. Operating across major cities in India, GoMechanic provides a wide range of car repair and maintenance services, leveraging technology to standardize processes, ensure quality, and offer competitive pricing.

Role Overview:

As a Business Analyst at GoMechanic, you will be instrumental in driving data-informed decisions across the organization. You will work closely with cross-functional teams, including operations, marketing, and product, to identify opportunities for improvement, develop analytical solutions, and provide actionable insights that directly impact business performance and customer satisfaction. Your work will contribute to optimizing processes, enhancing customer experience, and driving revenue growth.

Key Responsibilities:

- Conduct in-depth business analysis to identify key performance drivers, trends, and areas for improvement across various business functions.

- Develop and maintain dashboards and reports using Tableau and Power BI to track key metrics and provide real-time insights to stakeholders.

- Design and implement predictive models using Python and other statistical techniques to forecast demand, optimize pricing, and improve customer retention.

- Communicate findings and recommendations to stakeholders through clear and concise presentations and reports.

- Develop and automate data extraction, transformation, and loading (ETL) processes using SQL and Python.

- Apply statistical analysis and data mining techniques to uncover hidden patterns and insights in large datasets.

- Support the development and implementation of AI-powered solutions to automate processes and improve decision-making.

Required Skillset:

- Demonstrated ability to perform comprehensive business analysis, identify key insights, and translate them into actionable recommendations.

- Proficiency in data visualization tools such as Tableau and Power BI to create compelling and informative dashboards and reports.

- Strong programming skills in Python and SQL for data manipulation, analysis, and model development.

- Experience in developing and implementing predictive models using machine learning techniques.

- Excellent communication and presentation skills, with the ability to effectively communicate complex analytical findings to both technical and non-technical audiences.

- A Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.

- Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities.