Analytics Lead, Market Insights

Requirements

• The ideal candidate is proactive, has strong analytical capabilities, and can collaborate effectively across teams
• Bachelor’s degree with a focus in analytics, statistics, economics, finance, marketing, or other quantitative fields
• 3+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup
• Experience analyzing data, extracting key insights and trends, and producing actionable recommendations from the data
• Ability to think strategically and tackle open-ended problems, leading to analysis, recommendations, and next steps
• Experience building relationships and influence with cross-functional teams
• Strong written and verbal communication skills with the ability to present findings and recommendations to different types of stakeholders, including senior leadership
• Proficient in SQL and Excel/Google Sheets with strong quantitative analysis and data visualization skills
• You are a self-starter, take ownership, and are proactive; you have an eagerness to identify opportunities and a drive for impact

• We are looking for an analyst to join the Market Insights team to identify key opportunities in these regions and influence strategy across the company. From long-term strategic decisions to weekly agile operations, you will own a range of business-critical work
• You will identify our marketplace’s most critical gaps, create business and product strategies to address them, and partner with cross-functional teams to deliver impact
• Become an expert in rideshare marketplace behaviors/trends and support leadership in data-informed business strategies and decisions
• Leverage data and analytics to identify problems and opportunities in Lyft’s top regions, synthesize the trends and insights, and recommend action plans
• Operate within rideshare decision-making frameworks with a critical lens, evaluating areas of improvement and business growth opportunities
• Partner with Data Science, Product, Engineering, and other teams to deliver business, product, and strategy improvements