Help technically lead the teams development of new production SQL queries and Python jobs along with general analytics Collaborate with and support the team to innovate encouraging experimentation and growth Mentor the team to develop their technical skillset considering both the individuals wants and program needs Drive personal innovation projects to improve the teams and/or programs efficiency Oversee TFA tactical execution on a daily basis Drive prioritization between execution and innovation ensuring metrics are in line with program targets Project Manage team initiatives as needed Engage with internal and external functional partners to gain perspective and solution on combined challenges
Bachelors degree in Computer Science Statistics Applied Math Engineering a related field or relevant experience
7 years of hands-on experience in data science analytics engineering or similar technical analytics roles
2 years of experience leading and mentoring data-focused teams
Proficiency in SQL and at least one programming language (e.g. Python R)
Strong background in experimentation design causal inference and statistical analysis
Experience working with large-scale data pipelines and production-level analytics systems
Proven ability to drive measurable business impact through data and automation
Experience with building robust monitoring systems to track data and production system health in production
Expertise in data storytelling and creating stakeholder-ready visualizations and narratives
Ability to perform in both strategic and tactical situations and shift between them as defined by the needs of the role
Ability to connect insights to business outcomes and influence strategy
Familiarity with modern data platforms (e.g. Spark Snowflake Airflow) and ML ops tooling
Passion for fostering inclusive team environments and valuing diverse perspectives
Clear communicator who can translate complex technical concepts into actionable business language
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