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GMP has established itself as the pioneer of Interoperable Smart Parking which connects all parking and mobility stakeholders on a common platform who are operating in silos. GMP has had great success in the European market and is now expanding in US and other markets globally. This is an opportunity to be part of a high growth team with a global footprint.
Job Responsibility:
Data insights and analysis: Summarize key data driven insights to members of the senior leadership team to drive better outcomes, an increase in revenue or decrease in cost
Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics
Demonstrate excellent Data Analytics and stakeholder management skills, with the ability to influence and collaborate at all levels of the organization
Utilize your deep understanding of economic concepts, such as unit economics, retention and activation, marginal returns, and pricing economics, to drive our financial strategy
Act as an ambassador for data-driven decision-making within the company, ensuring that insights are shared and acted upon across departments
End-to-end problem-solving and communication abilities: diagnosis, data cleaning, integration and transformation, analysis, visualization, and presentation
Recognize and adopt best practices in reporting and analysis: data integrity, design, validation, and documentation and suggest ways to improve processes and incorporate operational excellence best practices
Take initiatives in improving the quality and efficiency of internal reports and streamlining analysis and processes
Responsible for being the liaison between the functional teams such as Customer Success, Sales, Finance and Tech
Build and maintain strong customer relationships, ensuring high levels of satisfaction and promptly addressing any concerns
Deliver engaging and informative customer demos, showcasing the platform's features and benefits
Provide live, on-call support to executives, ensuring seamless use and addressing any technical issues promptly
Requirements:
4+ years’ experience in a Business Intelligence/Data Science/Analytics background is essential
Relevant experience working with product-based tech start-ups
Solid understanding of data modeling, PostgreSQL, and relational databases, R or Python
Advanced skills in business intelligence tools with a strong ability to visualize and story tell with data (e.g., Tableau, Power BI, Looker, Metabase)
Proficient in Advanced Excel, VBA and statistical analysis techniques
Develop and optimize SQL queries and stored procedures for efficient data retrieval and manipulation
Implement best practices for database development, such as proper indexing and query optimization
Optimize database performance to support complex analytical queries
Project Management and/or process improvement experience highly preferred
Ability to effectively communicate and facilitate discussion with executive level
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