Data Analyst

Aiwoox

Deutschland

Hybrid

EUR 42,000 - 68,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
Flexible working hours and remote opti
Learning and development opportunities
Collaborative and supportive work env.

Job summary

Aiwoox is seeking a Data Analyst with 1+ year of experience to analyze complex datasets, uncover actionable insights, and support data-driven decisions across the company.

You will collect, clean, and analyze data, develop dashboards, collaborate with cross-functional teams, and present findings to stakeholders. Proficiency in SQL and data visualization tools is required; experience with Python or R and ETL is a plus. Flexible hours and remote options available.

Qualifications

  • 1+ years of experience in a data analytics or similar role.
  • Strong proficiency in SQL and relational databases.
  • Experience with data visualization tools (Tableau, Power BI, Google Data Studio).
  • Proficiency in Excel or Google Sheets.
  • Knowledge of statistical methods.

Responsibilities

  • Collect, clean, and analyze large datasets to identify patterns, trends, and actionable insights.
  • Develop, maintain, and automate data reports and dashboards for tracking business metrics.
  • Collaborate with cross-functional teams to understand business needs and translate them into data solutions.
  • Use statistical methods to analyze data and generate forecasts or predictive insights.
  • Ensure data accuracy, integrity, and consistency across all reports and systems.
  • Identify opportunities for process improvements based on data insights.
  • Present findings to stakeholders in a clear and concise manner.
  • Support decision-making by providing ad-hoc data analysis and reporting.

Skills

SQL
Data visualization
Excel
Google Sheets
Analytical thinking
Communication

Tools

Tableau
Power BI
Google Data Studio
Python
R
ETL
AWS
Azure
Google Cloud

Job description

Job Description:

We are seeking a Data Analyst with 1+ years of experience to join our dynamic team. The ideal candidate will be responsible for analyzing complex datasets, uncovering actionable insights, and helping drive data-driven decisions across the company. If you are analytical, detail-oriented, and passionate about turning data into meaningful business outcomes, this role is perfect for you.

Key Responsibilities:
  • Collect, clean, and analyze large datasets to identify patterns, trends, and actionable insights.
  • Develop, maintain, and automate data reports and dashboards for tracking business metrics.
  • Collaborate with cross-functional teams to understand business needs and translate them into data solutions.
  • Use statistical methods to analyze data and generate forecasts or predictive insights.
  • Ensure data accuracy, integrity, and consistency across all reports and systems.
  • Identify opportunities for process improvements based on data insights.
  • Present findings to stakeholders in a clear and concise manner.
  • Support decision-making by providing ad-hoc data analysis and reporting.
Requirements:
  • 1+ years of experience in a data analyst or similar role.
  • Strong proficiency in data visualization tools (e.g., Tableau, Power BI, or Google Data Studio).
  • Solid understanding of SQL and experience with relational databases.
  • Strong analytical skills and proficiency in tools like Excel or Google Sheets.
  • Familiarity with statistical methods and techniques.
  • Excellent problem-solving and critical-thinking skills.
  • Strong communication and presentation skills to share insights effectively.
  • Detail-oriented and able to manage multiple tasks simultaneously.
Preferred:
  • Experience with Python or R for data analysis.
  • Familiarity with ETL processes and data pipeline management.
  • Experience with big data platforms (e.g., AWS, Azure, Google Cloud).
  • Exposure to machine learning or predictive analytics is a plus.
Benefits:
  • Competitive salary
  • Flexible working hours and remote options
  • Learning and development opportunities
  • Collaborative and supportive work environment
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