Junior Data Analyst
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Key skills for this role
About the Role
Udrive is seeking a detail-oriented Junior Data Analyst to support cross-functional analytics needs. The role involves building reports and dashboards, conducting exploratory analyses, and ensuring data integrity.
Key Skills for This Role
Responsibilities
- 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
- 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 automation of recurring data processes using SQL, Python
- 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, and requests
- 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
Requirements
- Bachelor’s degree in Data Science, Computer Science, Engineering, or 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
- Detail oriented, problem solving mindset, proactive attitude
- Exposure to SuperSet, GA4, NoSQL, CAC, LTV, Jira, Confluence preferred
- Understanding of business metrics in mobility, logistics, or SaaS industry is a plus
- Understanding and experience of data pipelines / ETL concepts is preferred
Full Job Posting
Overview
- Udrive is seeking a detail oriented and motivated Junior Data Analyst to support cross functional analytics needs for our business. This role will assist our analytics team in managing operational reporting, automating workflows, conducting exploratory analyses, and ensuring data integrity across pl
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.
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