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Own canonical definitions of key metrics across sources Evolve metric definitions and drive cross-team alignment Ensure metrics are defined and reflected in data products Maintain consistency of metrics across datasets and reporting Identify and resolve discrepancies in metric definitions Own dashboards and datasets used as sources of truth 3–5+ years in data analytics in a high-growth environment Bachelor's degree in a quantitative field Strong SQL proficiency with large datasets Experience with diverse data sources and reliable datasets Familiarity with ETL pipelines; Python or data science a plus Strong analytical thinking and ability to handle ambiguity Extended health, dental, life insurance, and disability benefits Mental health benefits Family building benefits Child care and pet benefits Lyft Health Care Savings Account RRSP plan with company match