Data Analyst

Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive through a multi-mobility app featuring options across European markets and cities.

• Focus on analysing and presenting recommendations, process changes, and new initiatives to management using insights derived from data;
• Engage in configuration and programming in the data environment, query data via SQL from the data lake, automate data processes, perform deep dive analysis in Python, and adjust ETL tasks;
• Bring new insights and champion them using analyses, dashboards, and storytelling;
• Develop monitoring tools to measure performance and help the business achieve its objectives;
• Create queries to answer operational and business questions across operational teams to support decisions;
• Communicate results in a clear and impactful manner.

• Hold a Degree Level or higher in an analytical discipline such as Engineering, Computer Science, or Economics;
• Have 5+ years of experience in an analytical role;
• Demonstrate curiosity to answer why things happened and aim for well-founded actionable results;
• Show curiosity about AI and its practical applications in analytics, along with experience using LLMs or AI-powered tools in a data context;
• Possess technical skills including SQL knowledge, familiarity with visualisation tools, and Python or R;
• Be enthusiastic, outgoing, personable, able to think on your feet, work independently, and proactively with others;
• Understand how to engage and influence decision-makers with communication skills;
• Be driven, motivated to find solutions, and go the extra mile;
• Have strong communication and interpersonal skills as well as excellent written and spoken English;
• Nice to have: Metabase.

• Flexible working arrangements;
• LinkedIn Learning;
• Sabbatical and special leave policies;
• WeRoad partnership;
• Birthday, 24th, and 31st December off;
• Short term EU work policy;
• Mobility Credit;
• Health Insurance;
• Employee assistance program.