Data Analyst, Data Insights

Jobtailor; München; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Jobtailor in Munich seeks a data analyst to analyze purchasing behavior, pricing and promotion data, and other consumer datasets. You will develop reports, dashboards, and reusable analysis frameworks for internal teams and external clients.

You will work with SQL, BI tools, and ideally Python to prepare, analyze, and visualize data, automate reporting, and contribute to scalable analytics across the business.

Qualifikationen

• Three years of analytical experience in digital environments, retail, FMCG, e-commerce, media or market research.
• Strong SQL skills and experience with BI tools (Databricks, Qlik Sense, Power BI, Tableau)
• Ideally some Python experience and familiarity with modern data platforms or cloud environments.
• Structured, solution-oriented work style and ability to derive business insights from data.
• Able to explain analytical results clearly and communicate with stakeholders.
• Desire to make reporting and analysis processes scalable in the long term.

Aufgaben

• Analyze purchasing behavior, pricing and promotion data and other consumer datasets from various sources.
• Develop and maintain reports, dashboards, and reusable analysis frameworks for internal teams and external clients.
• Support Sales, Customer Success, Product Management and clients with data-related questions and translate business questions into analytical outputs.
• Work with SQL, BI tools, and ideally Python to prepare, analyze, and visualize data.
• Automate manual reporting processes and make existing analysis workflows more efficient and scalable.
• Contribute to the development of data insights products, including purchase-based surveys, consumer analytics, campaign performance, and AI-supported self-service.
• Present analysis results clearly and in a structured, decision-oriented way for different stakeholders.

Kenntnisse

Analytical skills

SQL

Data visualization

Stakeholder communication

Problem solving

Tools

Databricks

Qlik Sense

Power BI

Tableau

Python

Jobbeschreibung

• You analyze purchasing behavior, pricing and promotion data, as well as other consumer and retail datasets from various sources.
• You develop and maintain reports, dashboards, and reusable analysis frameworks for internal teams and external clients.
• You support Sales, Customer Success, Product Management and clients with data-related questions and translate business questions into concrete analytical outputs.
• You work with SQL, BI tools, and ideally Python to prepare, analyze, and clearly visualize data.
• You help automate manual reporting processes and make existing analysis workflows more efficient and scalable.
• You contribute to the further development of our data insights products, particularly in areas such as purchase-based surveys, consumer analytics, campaign and promotion performance, and prospectively AI-supported self-service.
• You present analysis results clearly, in a structured and decision-oriented way for different stakeholders.

Requirements

• You have strong analytical skills and experience preparing, analyzing, and visualizing complex data.
• You have excellent SQL skills and experience with BI tools such as Databricks, Qlik Sense, Power BI, Tableau, or similar solutions.
• Ideally, you have initial experience with Python as well as with modern data platforms or cloud environments.
• You have approximately three years of experience in a comparable analytical role, preferably in digital environments, retail, FMCG, e-commerce, media, or market research.
• You work in a structured, solution-oriented way and enjoy deriving concrete business insights from data.
• You can explain analytical results clearly and communicate confidently with different stakeholders.
• You don't just want to produce individual analyses but actively contribute to making reporting and analysis processes scalable in the long term.

Core Competencies

Demonstrates strong analytical skills with expertise in SQL and BI tools to prepare, analyze, and visualize complex data. Capable of translating business questions into actionable insights while contributing to scalable reporting and analysis processes.