Senior Data Analyst (m/w/d) – Sales & Finance

Role Overview

Work closely with Sales & Finance department and data teams to shape Visable into a data-driven company. Design, build and maintain trusted data models using dbt. Collaborate on data modeling, metric definitions and data quality initiatives.

What You Will Do

Identify patterns and trends in complex data sets. Develop scalable dashboards, self-service reporting solutions and KPI frameworks. Act as a trusted analytics partner, supporting business teams with data-driven decision making.

Why It Might Be a Fit

Proactive, collaborative and solution-oriented mindset with a passion for continuous learning. Strong analytical thinking, curiosity and ability to translate business questions into scalable analytical solutions.

Requirements

• Degree in Mathematics, Statistics, Computer Science, Business Analytics or a related field
• Several years of experience as a Data Analyst, ideally within Sales, Finance or Commercial Analytics
• Strong SQL skills and experience working with large-scale analytical databases and dimensional data models
• Hands-on experience with dbt for data transformation, testing, documentation and version-controlled analytics development
• Experience with modern cloud data platforms (e.g. BigQuery, Snowflake, Redshift or Databricks)
• Experience using Tableau or similar BI and visualization tools to build scalable reporting solutions
• Good understanding of data modeling, data quality and analytics engineering best practices
• Experience working with Git and collaborative development workflows
• Python or R experience for analysis and automation is a plus
• Business fluency in English is required

Benefits

• Opportunity to actively shape the future of the online B2B business
• Flat hierarchies, relaxed, informal atmosphere and a great team spirit
• Agile and supportive environment where success is always a team effort
• Fitness cooperation with Urban Sports Club
• 30 vacation days (plus Christmas Eve & New Year’s Eve) and flexible working hours
• Individual training opportunities (e.g. Visable Online-Academy & Trainings)
• Regular feedback discussions and team-building measures
• Workation offer and work where others spend their holiday

Tagged as: Data Analysis