Garage Engagement

Role & responsibilities

• Analyze large datasets using SQL, Python, Excel, and BI tools to identify trends and business insights.
• Build and maintain automated dashboards, reports, and data workflows.
• Perform KPI tracking, funnel analysis, business performance analysis, and data-driven reporting.
• Automate repetitive operational and reporting processes using Python, JavaScript, Google Apps Script, and workflow automation tools.
• Work with APIs and structured/unstructured data to support business requirements.
• Conduct market and competitor analysis and translate findings into actionable recommendations.
• Collaborate with cross-functional teams to understand business requirements and develop data-backed solutions.
• Ensure data accuracy, quality, and consistency across reports and dashboards.
• Explore and implement AI/LLM-based automation solutions to improve operational efficiency

Required Skills

• Strong knowledge of SQL and Python.
• Good understanding of Data Analytics, KPI Tracking, and Business Analysis.
• Experience with Excel / Google Sheets and BI/dashboarding tools.
• Knowledge of Pandas, NumPy, Matplotlib, Power BI, or Redash.
• Understanding of APIs, data cleaning, EDA, and reporting.
• Strong analytical and problem-solving skills.
• Good communication and stakeholder management skills.

Good to Have

• Exposure to Generative AI, Agentic AI, LLMs, Prompt Engineering, or AI Workflow Automation.
• Knowledge of Apache Airflow, Node.js, REST APIs, or GraphQL.
• Experience in the automotive / used-car / marketplace domain.