Senior Data Analyst

at  Gen Digital

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

What We Can Offer:

• Annual bonus scheme
• Unlimited PTO (paid time off), flexible working hours & home office.
• The chance to join a major global tech company listed on the S&P 500.
• Opportunity to learn and work with the best in the Digital Security industry
• Cafeteria points are provided by Benefit Plus (meal plan, pension insurance, travel, free time activities, multisport card, and much more).
• Tuition reimbursement for job-related courses
• Learning & Development plan.
• Sustainable home improvement bonus
• Mac/Windows laptop and mobile phone

Gen is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive and accessible environment for all employees. All employment decisions are based on merit, experience, and business needs, without regard to race, color, national origin, age, religion, sex, pregnancy (including childbirth or related medical conditions), genetic information, disability (physical or mental), medical condition, marital status, sexual orientation, gender identity or gender expression, military or veteran status, or any other consideration made unlawful by federal, state, or local law. Gen strictly prohibits unlawful discrimination based on such protected characteristics and seeks to recruit the most talented candidates from diverse cultures and backgrounds.
We also consider employment-qualified individuals with arrest and conviction records. In addition, we will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
Learn more about pay transparency
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Gen complies with all anti-discrimination laws.
To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government

• 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 visualization