Latest AI JobsBrowse Jobs
MoneyLion logo

Sr. Data Analyst

MoneyLionCZE - PragueFinance & Business Performance
Apply on company site
Salary
Not listed
Job type
Full-time
Posted
14 Jul 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Senior Data Analyst role at MoneyLion in Prague is a full-time position within the Finance and Business Performance department. This professional joins the Marketing Analytics and Data Science team to drive data-informed marketing decisions through actionable insights and scalable analytics solutions.

Key Responsibilities

Provide timely and accurate reporting on marketing performance across international consumer brands.
Evaluate campaign effectiveness across paid, owned, and earned channels to uncover trends and recommendations.
Track website and mobile application performance to understand customer behavior.
Collaborate directly with marketing stakeholders to support new initiatives and business needs.
Conduct ad hoc analyses to answer strategic business questions and guide decision-making.
Create and maintain dashboards and reporting tools for better visibility into marketing results.
Automate reporting workflows to minimize manual effort and boost analytical efficiency.
Implement experimentation frameworks including A/B testing design, measurement, and interpretation.
Analyze outputs from attribution and lifetime value models to direct marketing investments.
Utilize artificial intelligence tools responsibly to enhance workflows, coding, and reporting.

Requirements

Hold a Bachelor's degree in a quantitative field like Mathematics, Statistics, Data Science, Economics, or Computer Science.
Bring at least four years of experience in marketing analytics within a digital-first or direct-to-consumer setting.
Possess advanced SQL expertise for analyzing large datasets.
Demonstrate familiarity with modern cloud data platforms such as Snowflake or BigQuery.
Show proficiency in business intelligence and visualization platforms like Power BI, Tableau, or Looker.
Understand collaborative analytics environments such as Hex or Deepnote.
Exhibit solid knowledge of digital marketing measurement, metrics, and key performance indicators.
Have practical background in A/B testing, experimentation, and statistical analysis.
Understand attribution methodologies and lifetime value models.
Possess web or mobile app analytics experience along with strong Excel and PowerPoint skills.
Feel comfortable utilizing AI tools to speed up coding, analysis, and communication.
Demonstrate excellent communication, stakeholder presentation, collaboration, and problem-solving abilities.

Nice to Have

Experience working with Python or R.
Analytics engineering background covering data pipelines, DAGs, YAML, and semantic modeling.
Familiarity with Git and version control.
Background supporting AI-enabled analytics environments.
Experience within large-scale global marketing organizations.

Skills and Tools

Python
SQL
Snowflake
Power BI, Tableau, or Looker
Hex or Deepnote
Excel and PowerPoint
Git

About the Company

Gen is a global organization powering digital freedom through trusted consumer brands including Norton, Avast, LifeLock, and MoneyLion. The company delivers cybersecurity, privacy, identity protection, and financial wellness solutions to nearly 500 million users across more than 150 countries. Gen fosters a scrappy, customer-driven culture that values experimentation, continuous learning, and diverse perspectives.

How to Apply

Interested candidates should visit the official company careers page to submit their application for this position.

Skills and tech stack

Questions candidates ask

What experience level is required for this role?

Candidates must have four or more years of experience in marketing analytics, preferably within a digital-first or direct-to-consumer environment.

Where is the job located?

The position is located in Prague, Czech Republic.

What technical skills are needed?

Key technical requirements include advanced SQL skills, experience with modern cloud data platforms like Snowflake or BigQuery, and familiarity with BI visualization tools such as Power BI, Tableau, or Looker.

What is the interview process like?

The interview process consists of an introductory talk with Talent Acquisition, a hiring manager interview with a practical SQL assessment, panel interviews covering collaboration and technical capability, and a final discussion with the Senior Director of Marketing Analytics and Data Science.

Are Python and R required?

Python and R experience are listed under nice-to-have qualifications rather than strict requirements.

Ready to apply?

The application is on the official MoneyLion careers page.

Apply on company site