Junior Data Analyst

Overview

Key Responsibilities

• Reporting, Analysis Visualization: Build and maintain recurring reports and dashboards using Tableau Excel, and internal tools.
• Track key performance indicators (KPIs) across fleet, operations, marketing, and business lines.
• Assist in visual storytelling and communicating insights to stakeholders in a clear, digestible format.
• Conduct exploratory and ad-hoc analyses to support initiatives like fleet optimization, customer segmentation, marketing initiatives.
• Collaborate with marketing, product, engineering to derive actionable insights from raw datasets.
• Support the automation of recurring data processes using SQL, Python
• Data Quality Governance: Perform data audits to ensure consistency, accuracy, and completeness. Identify and flag anomalies, track data lineage, and maintain documentation for analytics workflows.

• Document Data Processes, Dashboards Requests

• Collaboration Support Partner with stakeholders in Operations, Marketing, Product, and CS to address analytical requests and performance queries.
• Help train teams in reading dashboards and interpreting KPIs.

Qualifications Skills

• Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field.
• 0–2 years of experience in a data analyst or business analyst role.
• Proficiency in SQL and working knowledge of Python (Pandas, NumPy, etc.).
• Experience with data visualization (Tableau, Power BI, SuperSet) Strong Excel/Google Sheets skills.
• Comfortable working with large datasets and drawing actionable insights.
• Detail-oriented, with a problem-solving mindset and a proactive attitude.
• Preferred Skills Exposure to SuperSet, GA4, NoSQL, CAC, LTV Jira, Confluence
• Understanding of business metrics in the mobility, logistics, or SaaS industry is a plus.
• Ability to work in a fast-paced startup environment.
• Understanding and experience of **data pipelines / ETL concepts is preferred.**