data
Added Apr 29Data Analytics Manager
at N26
Barcelona, SpainOn-site
Responsibilities
- Establish frameworks that connect product initiatives to measurable business outcomes.
- Inform product roadmap: Drive the analytics roadmap for your domain, proactively identifying strategic opportunities, risks, and trends.
- Ensure insights consistently shape product and business strategy across multiple teams.
- Handle stakeholders: Own relationships with senior stakeholders across Product, Marketing, Tech and Leadership.
- Align cross-functional priorities and ensure analytics work is tightly integrated with broader business goals.
- Evaluate initiatives: Oversee experimentation and measurement strategy across teams.
- Ensure robust test design, execution, and interpretation, maintaining a high bar for analytical rigor and business relevance.
- Ensure teams have access to reliable data, tools, and frameworks to independently generate insights.
- Provide monitoring tools: Ensure the team delivers high-quality dashboards and monitoring systems that track performance against company OKRs. Define standards for clarity, usability, and impact.
- Improve data literacy of organisation: Scale data literacy across the organization by enabling teams to better understand and use data.
- Establish training programs, frameworks, and best practices that empower self-serve analytics.
- Support some of the following product & business team initiatives (not limited to):
- Guide teams in discovering new product opportunities, identifying user friction points, and prioritizing high-impact initiatives
- Ensure continuous product releases are evaluated against business goals using robust analytical methods
- Ensure data tracking and instrumentation are properly designed to enable future analysis and measurement
- Proven track record of driving business impact through data Skills:
- Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀. Employee
Requirements
- experience managing people, leading a team of 3–4 data analysts
- Analytics & Engineering: High proficiency in SQL and Python/R for analysis, experimentation, and modeling.