Senior Data Analyst

We’re more than just a company; we're a global leader in digital safety. With a strong commitment to ensuring that everyone can navigate the digital world securely, we unite the best minds and cutting-edge technology through our family of brands: Norton, Avast, LifeLock, Avira, AVG, ReputationDefender, and CCleaner. Together, we protect over 500 million people worldwide. Our workplace is built on inclusivity, where your well-being is a top priority. We believe that success comes from balance and authenticity. When you’re thriving, you’re unstoppable. So, bring your bold ideas and unstoppable drive, and join us in shaping the digital world. Ready to make an impact? Join #TeamGen.

We love to work together and collaborate within our teams, which is why we have opted for a hybrid model that allows us to work from the office 2–3 times per week.

For our Analytics and Data Science team in Prague, Czech Republic we are currently looking for a Sr Data Analyst. 

The Sr 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 5 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