Senior Data Analyst

April 13

Life360

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The #1 family safety app 📱

Family Networking • Location Based Services • Mobile • Connected Home • Connected Car

201 - 500

💰 Post-IPO Equity on 2022-11

Description

• As a senior member of the Analytics team, you will partner with Product Managers, Marketing Leaders and fellow Analysts to understand, report on, and help optimize a roadmap that fuels growth, explores new business opportunities, and finds incremental value for the organization. You will leverage your analytic and technical experience to use our unique geolocation, mobile application, and transaction data to help answer key business and product questions, deliver analytic programs, and provide strategic insights. • The ideal candidate has a passion for product experiences, the customer journey, fueling the business with meaningful data-driven insights, and distilling results into a compelling narrative. Utilizing a blend of strategic thinking, technical data skills, and analytic techniques, the candidate should be able to answer a range of business questions and present resulting insights in a concise and effective manner. The ideal candidate would bring a blend of consulting, collaboration, technical aptitude, leadership, programming skills, product sense and business skills to this role.

Requirements

• 5+ years of data analytics experience in consumer internet, mobile, or digital product domains. • Proven experience with Live, High-Audience Mobile B2C Apps preferred. - Experience with subscription business models is a plus. - Experience with location data is also a plus. • Extensive hands-on experience with SQL. - Preferably expertise in leveraging big data and cloud-based technologies (MySQL, AWS, Presto, Athena, Redshift, Hive, Teradata). • Python/R or equivalent data wrangling, scripting and reporting experience with high volume data sets. - Experience with Amplitude is a bonus, but not required. • Demonstrated impact from working with stakeholders to translate strategic business and product questions into successful analytic projects. • Proven ability to tell a story with data and visualization tools to a variety of audiences, both technical and non-technical. • Keen grasp of statistical concepts and product experimentation (confidence intervals, hypothesis testing, regression models). • Demonstrated project management and organizational skills. • Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

Benefits

• Competitive pay and benefits • Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees • 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees • Employee Assistance Program (EAP) for mental wellness • Flexible PTO and 12 company wide days off throughout the year • Learning & Development programs • Equipment, tools, and reimbursement support for a productive remote environment • Free Life360 Platinum Membership for your preferred circle