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Analytics Lead

Posted 7 days agoViewed

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💎 Seniority level: Lead, 5+ years in data analytics, data engineering, or data science

📍 Location: Continental US

💸 Salary: 220000.0 - 275000.0 USD per year

🔍 Industry: Fitness industry

🏢 Company: Future👥 501-1000🫂 Last layoff over 2 years agoInternetPublishingMedia and EntertainmentNewsEventsMobile

⏳ Experience: 5+ years in data analytics, data engineering, or data science

🪄 Skills: PythonSQLSnowflakeData visualizationData modelingData analytics

Requirements:
  • 5+ years of experience in data analytics, data engineering, or data science, with at least 2 years in a leadership role.
  • Strong technical skills in SQL, Python, and modern data platforms (Looker, dbt, Snowflake).
  • A strong understanding of data modeling, data governance, and best practices for data management in large, complex organizations.
  • Proven ability to translate complex technical concepts into clear business insights.
  • Excellent project management skills, with the ability to prioritize, manage multiple initiatives, and meet deadlines.
  • A passion for using data to drive business outcomes and improve operational efficiency.
  • Strong leadership skills with a coaching mindset focused on team growth and empowerment.
Responsibilities:
  • Actively coach and develop a high-performing data team, providing hands-on mentorship and technical guidance.
  • Directly contribute to complex analytical projects, demonstrating best practices through your own work.
  • Drive business strategy by translating data insights into actionable recommendations for leadership.
  • Collaborate closely with cross-functional teams to identify key business questions and develop innovative data solutions.
  • Create a culture of continuous learning, encouraging team members to expand their analytical skills and strategic thinking.
  • Design and implement critical business metrics that provide clear performance visibility.
  • Develop intuitive dashboards and self-service data models that democratize data access across the organization.
  • Mentor team members in advanced analytical techniques, data storytelling, and stakeholder communication.
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