Sr. Data Analyst

About Us:

When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs.

About The Role:

As a Senior Data Analytics Specialist, you'll be a key member of the Marketing Analytics and Data Science team based in Prague, partnering with stakeholders across our global consumer brands, including Norton, Avast and LifeLock.

Reporting to the Senior Manager of Data Analytics, you'll help drive data-informed marketing decisions by delivering insightful analysis, performance reporting and scalable analytics solutions. Your work will span campaign performance, web and mobile analytics, experimentation and dashboard development, enabling marketing teams to optimize investments and improve business outcomes.

We're looking for someone who combines strong analytical thinking with technical expertise, business curiosity and a passion for turning data into actionable insights. You'll also leverage AI tools to accelerate analysis, improve productivity and support smarter decision-making.

In This Role, You Will:

• Deliver timely, accurate reporting on marketing performance across our global consumer brands.
• Analyze campaign performance across paid, owned and earned channels, identifying trends, optimization opportunities and actionable recommendations.
• Monitor website and mobile app performance to uncover customer behavior insights.
• Partner closely with marketing stakeholders to understand new initiatives and ensure analytics support evolving business needs.
• Lead ad hoc analyses that answer strategic business questions and influence decision-making.
• Design, build and maintain dashboards and reporting solutions that improve visibility into marketing performance.
• Continuously improve and automate reporting processes to reduce manual effort and increase analytical efficiency.
• Work with experimentation frameworks, including A/B testing design, measurement and interpretation.
• Interpret outputs from attribution and lifetime value (LTV) models to support marketing investment decisions.
• Leverage AI tools responsibly to improve analytical workflows, coding productivity, reporting and communication.

About You:

• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics or Computer Science (advanced degree is a plus).
• 4+ years of experience in Marketing Analytics, preferably within a digital-first or direct-to-consumer environment.
• Advanced SQL skills with experience analyzing large datasets.
• Experience working with modern cloud data platforms such as Snowflake or BigQuery.
• Experience using BI and visualization tools such as Power BI, Tableau or Looker.
• Familiarity with collaborative analytics environments such as Hex or Deepnote.
• Strong understanding of digital marketing measurement, campaign analytics and marketing KPIs.
• Experience with A/B testing, experimentation and statistical analysis.
• Familiarity with attribution methodologies and lifetime value (LTV) models.
• Experience with web analytics and/or mobile app analytics.
• Strong Excel and PowerPoint skills.
• Comfortable using AI tools to accelerate coding, analysis, reporting and communication.
• Excellent communication skills with the ability to present complex analytical findings to business stakeholders.
• Strong collaboration skills, intellectual curiosity and a proactive approach to problem solving.
• Comfortable working independently while contributing to a collaborative, global team.

Nice To Have:

• Experience with Python and/or R.
• Analytics Engineering experience, including data pipelines, DAGs, YAML and semantic modeling.
• Experience with Git and version control.
• Experience supporting AI-enabled analytics environments.
• Experience working in large-scale global marketing organizations.

What's Next:

The interview process consists of four stages:

• An introductory conversation with our Talent Acquisition team.
• A hiring manager interview, including a practical SQL assessment.
• Panel interviews focused on collaboration, technical capability and stakeholder partnership.
• A final interview with the Senior Director of Marketing Analytics and Data Science.