Lead Data Analyst - Product Growth for Remote Team
About the Role
Life360 is hiring a full-time Lead Data Analyst - Product Growth to join our dynamic team working remotely from the USA and Canada. In this role, you will play a pivotal part in driving product growth through data-driven insights and strategies. As a Lead Data Analyst, you will collaborate closely with cross-functional teams to enhance our product offerings and improve user engagement.
What You'll Do
- Lead data analysis initiatives to identify growth opportunities and optimize product performance.
- Utilize advanced analytical techniques to interpret complex datasets and generate actionable insights.
- Collaborate with product managers and marketing teams to develop data-driven strategies for user acquisition and retention.
- Design and implement A/B testing frameworks to evaluate product changes and enhancements.
- Mentor junior analysts and foster a culture of data-driven decision-making within the organization.
Requirements
- 5+ years of experience as a Data Analyst, with a focus on product growth and analytics.
- Proficiency in data analysis tools such as SQL, Python, and data visualization platforms.
- Strong understanding of statistical analysis and A/B testing methodologies.
- Excellent communication skills to convey complex data insights to non-technical stakeholders.
- Experience in a leadership role, guiding teams towards achieving data-driven goals.
Nice to Have
- Experience in the B2B SaaS industry.
- Familiarity with customer journey mapping and user experience optimization.
- Knowledge of machine learning techniques for predictive analysis.
What We Offer
- Competitive salary ranging from $133,000 to $195,500 annually.
- Flexible remote work environment with a focus on work-life balance.
- Health, dental, and vision insurance coverage.
- Generous paid time off and holiday schedule.
- Opportunities for professional development and career advancement.
This Lead Data Analyst role at Life360 offers a competitive salary and the opportunity to drive product growth through data insights in a fully remote environment.
Who Will Succeed Here
Proficient in SQL for complex queries and data manipulation, with a strong understanding of database management systems like PostgreSQL or MySQL, enabling effective data extraction for insights.
Demonstrates a strong analytical mindset with hands-on experience in Python for data analysis and automation, utilizing libraries such as Pandas and NumPy to streamline data processing and enhance productivity.
Possesses advanced skills in data visualization tools such as Tableau or Power BI, allowing for the creation of insightful dashboards that effectively communicate key metrics and trends to stakeholders.
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