Freelance Data Analyst
Location: Fully remote within EU or UK
Contract Type: Freelance, 6+ months
About the Company
A leading European organisation in the mobility and smart infrastructure industry is seeking a freelance Data Analyst to strengthen its growing data and analytics capability. The company operates large-scale digital platforms supporting connected parking, mobility, and urban services across multiple markets. This role will play a key part in transforming operational and customer data into actionable insights that guide business and product strategy.
Key Responsibilities
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Serve as a data subject matter expert, partnering with product and business teams to translate strategic needs into analytical and reporting requirements.
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Collaborate closely with data engineers to design and implement scalable data models that support business objectives.
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Work hands-on in Databricks using Python, PySpark, and SQL to explore, transform, and analyze large datasets.
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Build high-quality, interactive dashboards and reports in Tableau and Power BI, ensuring exceptional design, performance, and user experience.
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Champion data quality, validation, and documentation to maintain reliable and consistent analytics across the organisation.
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Conduct ad-hoc analyses and deliver insights that influence product development, customer understanding, and operational decision-making.
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Collaborate cross-functionally to standardise KPIs, metrics, and data definitions across departments.
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Continuously improve analytical workflows and contribute to the organisation’s evolving data-driven culture.
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Work with digital analytics tools such as Mixpanel and CleverTap to support A/B testing, product insights, and customer engagement analytics.
Required Skills & Experience
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3-6 years of experience in data analysis, business intelligence, or analytics engineering.
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Proven ability to translate business requirements into technical data solutions and actionable insights.
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Strong understanding of data modeling concepts and collaboration with data engineering teams.
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Proficiency in Python, PySpark, and SQL, with hands-on experience in Azure Databricks.
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Expertise in Tableau and Power BI, including dashboard development, performance optimization, and visual storytelling.
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Deep understanding of data visualization principles and experience delivering clear, insightful, and visually compelling dashboards.
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Familiarity with A/B testing platforms such as Mixpanel or CleverTap.
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Strong analytical and problem-solving mindset with keen attention to detail and data integrity.
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Excellent communication and stakeholder management skills, including the ability to present complex data in a clear, accessible way.
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Self-starter with the ability to work autonomously in a fast-paced, agile environment.
