Data Analyst

About Gen:
Gen is a global company powering Digital Freedom through consumer brands including Norton, Avast, LifeLock, Avira, AVG, ReputationDefender, and CCleaner. Our combined heritage is rooted in providing safety for the first digital generations. We bring leading technology solutions in cybersecurity, privacy and identity protection to more than 500 million users in 150 countries so they can live their digital lives safely, privately, and confidently today and for generations to come. We're always looking for smart, fearless, and dedicated people. Together, we have collective passion and a big vision to power Digital Freedom by protecting consumers and giving them control of their digital lives. 
 
When you’re a part of Gen, you are provided access to a range of resources and support to ensure you can do your best work and live your best life. This includes flexible working options with generous time off and competitive benefits & compensation packages.
 
Diversity is foundational to how we do business because we know the greatest ideas and results come from our unique perspectives and differences. We strive to create a safe, inclusive environment where you can bring your whole self to work. Team members are valued, respected, and celebrated for who they are in a meaningful and exciting atmosphere. Gen is an equal employment opportunity employer. Employment decisions are based on merit, experience, and business needs.  
 
If this sounds like you—Gen has a dynamic, supportive culture with core values that celebrate diversity, promote teamwork, and encourage every team member to contribute and grow—join us!

HYBRID ROLE: 3x/week in the Tempe, AZ office

About the Role: 

For our Analytics and Data Science team in Tempe, Arizona we are currently looking for a Data Analyst. 

The Data Analyst role will serve as an embedded business intelligence resource for the broader Consumer Sales & Product team, using a broad set of analytical tools to drive insights based on transactional, customer and product data. 
The ideal candidate will be highly analytical and numbers oriented, sales driven yet with a strong sense for what constitutes a good customer experience. He/she will also be a strong communicator, knowing how to both convey key insights and garner stakeholder buy-in. A pro-active approach and a strong sense of commitment and ownership are a must. A natural sense of curiosity is a distinct plus.   

We expect the successful candidate to have a degree in a quantitative field from a leading university and at least 3 years of experience in a relevant position. Fluent English is required. 

Responsibilities: 

• Transform raw data into useful and actionable insights to help with business decisions 

• Analyze customer data to identify key trends 

• Focus on country differences and anomalies 

• Understand customer experience and product flows 

• Optimize user conversion and retention 

• Help with preparation and execution of A/B tests 

• Work with other data experts (engineering, BI) to ensure data quality is good, as well as enhancements to the data 

• Ad-hoc analyses 

• Stakeholder management 

• Collaborate with data scientists, business analysts, and other teams to solve complex problems 

• Create clear and compelling data visualizations 

Requirements:  

• Have a passion for data and analytics 

• Experience of SQL 

• Good (ideally advanced) Excel skills 

• Any experience of R or Python would be advantageous, although not essential 

• Looker and Power BI skills 

• Strong analytical skills/thinking 

• Fluent in English 

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