Data Analyst (Sustainable Mobility)

TL;DR

Data Analyst (SQL/Python): Transforming raw data into actionable insights for an EV charging network with an accent on data visualization and statistical analysis. Focus on developing compelling dashboards, improving data quality, and partnering with stakeholders to drive smarter business decisions.

Location: Not explicitly stated, but office-based perks suggest an onsite or hybrid arrangement.

Company

hirify.global is a sustainable mobility company building a widespread network of EV chargers to accelerate the transition to electric vehicles.

What you will do

• Gather and transform data from internal databases, external APIs, and surveys to ensure readiness for analysis.
• Analyze data using statistical techniques to identify trends, patterns, and business insights.
• Develop clear and compelling dashboards and reports using tools like Tableau, Metabase, or Power BI.
• Partner with stakeholders to understand business needs and develop data-driven solutions.
• Champion and maintain a culture of high data quality across workflows and teams.
• Mentor and coach colleagues on analytics best practices to elevate overall team capability.

Requirements

• Up to 4 years of experience in data analytics or a related field.
• Technical proficiency in SQL and Python.
• Experience with at least one data visualization tool (Tableau, Metabase, or Power BI).
• Strong analytical and problem-solving skills to extract signals from complex data.
• Ability to translate technical findings into clear narratives for non-technical audiences.
• Comfort with ambiguity and the ability to bring clarity to unstructured problems.

Culture & Benefits

• Private health insurance coverage and gym membership.
• Flexible working hours and a meal allowance for every workday.
• Annual company offsites and regular team-building events with local teammates.
• Free office snacks and unlimited coffee.
• Special discounts for charging electric vehicles.
• English language training to support communication across global markets.