Data Analyst - REWS Parking - Propark Mobility

Key Responsibilities

• Design, develop, and maintain data pipelines and dashboards to monitor parking revenue, utilization, and operational performance.
• Perform complex SQL queries and Python data transformations to cleanse, aggregate, and enrich datasets from multiple sources.
• Create interactive visualizations in Tableau and Power BI that translate analytical findings into clear business narratives for stakeholders.
• Collaborate with product, finance, and operations teams to define metrics, build predictive models, and support data‑driven strategy development.
• Document data definitions, analytical methodologies, and reporting processes to ensure reproducibility and governance.

Requirements

• 3+ years of professional experience as a Data Analyst or similar role, preferably in transportation, mobility, or related industries.
• Proficiency in SQL (e.g., PostgreSQL, MS SQL) and Python (pandas, NumPy) for data extraction, manipulation, and analysis.
• Hands‑on experience building dashboards and visual reports using Tableau or Power BI.
• Strong analytical mindset with ability to apply statistical techniques and develop predictive insights.
• Excellent communication skills to convey complex data stories to both technical and non‑technical audiences.