Data Analyst m/f/d

ATOSS Software AG; München; Hybrid; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

A leading software company in Munich is looking for a Data Analyst to drive their data strategy and analytics. The ideal candidate will have 5-7 years of experience with strong skills in SQL, Python, and R, and will engage in full lifecycle analysis and reporting. This position offers a hybrid work schedule, 30 vacation days, and various employee benefits including professional development opportunities. Contribute to innovative data-driven insights enhancing product capabilities.

Leistungen

30 days of vacation

Health management programs

Company pension plan

Professional development opportunities

Hybrid work model

Qualifikationen

• 5-7 years of experience as a Data Analyst or Data Scientist.
• Proficient in SQL, Python, and R.
• Experience with data governance and compliance.
• Strong analytical skills and attention to detail.
• Ability to communicate findings effectively.

Aufgaben

• Conduct requirements gathering and lifecycle analysis.
• Define and implement data collection procedures.
• Establish strong data governance processes.
• Identify trends using statistical techniques.
• Drive data strategy for AI and ML capabilities.

Kenntnisse

Data manipulation with SQL

Data analysis using Python

Statistical analysis with R

Data governance processes

Trend analysis

Automated systems monitoring

Communication skills

Problem-solving abilities

Ausbildung

Master’s degree in Mathematics

Master’s degree in Economics

Master’s degree in Computer Science

Master’s degree in Information Management

Master’s degree in Statistics

Tools

Tableau

Power BI

Qlik

Knime

RapidMiner

Excel

AWS

Google Cloud Platform

Azure

Jobbeschreibung

Overview

Data Analyst m/f/d

Munich | Fulltime | Permanent

Responsibilities

• Full Lifecycle Analysis: Conduct requirements gathering, design, and analysis activities. Develop robust analysis and reporting capabilities, monitoring performance, and quality control plans to identify improvements.
• Data Management: Define, design, and implement scalable data collection, processing and storage procedures to enable comprehensive insights and powerful reporting capabilities, essential for building analytic systems.
• Data Governance: Establish strong data governance processes to ensure data integrity, accuracy, and compliance with relevant legal regulations.
• Trend Analysis: Identify, analyze, and interpret trends or patterns in complex data sets using statistical techniques, providing ongoing reports.
• Automated Systems: Create automated anomaly detection systems and continuously track their performance.
• Data Models: Develop strong domain knowledge and design comprehensive foundational data models to power all data-driven experiences and capabilities within the product.
• Advanced Tools: Leverage best-in-class data analysis and reporting tools to automate the generation of key trends, patterns, and insights swiftly.
• Strategic Boost: Drive the data strategy to enhance AI and ML capabilities within our product portfolio. Collaborate with R&D to conceptualize a scalable data-to-insights framework.
• Ad-Hoc Analysis: Conduct ad-hoc analysis and present results clearly and effectively.
• Prioritization: Work with management to prioritize business and information needs.

Your Skills and Expertise

• Experience: Proven 5-7 years of working experience as a Data Analyst or Data Scientist. Solid experience in data analysis with proficiency in SQL, Python, and R for data manipulation and statistical analysis.
• Technical Expertise: Strong expertise in data models, database design development, data mining, and segmentation techniques.
• Reporting Packages: Proficient with reporting packages (e.g., Business Objects), databases (e.g., SQL), and programming (e.g., XML, JavaScript, ETL frameworks).
• Analytics Tools: Hands-on expertise in using state-of-the-art tools such as Tableau, Power BI, Qlik, Knime, RapidMiner, DataIQ, Jupyter AI, and statistical tools (e.g., Excel, SPSS, SAS, SQL queries).
• Machine Learning & AI: Familiarity with machine learning frameworks like TensorFlow, Keras, or scikit-learn for developing predictive models and algorithms. Experience with low-code no-code AI data analysis tools like RapidMiner, DataIQ or Knime.
• Data Engineering: Experience with big data technologies such as Hadoop, Spark, and Kafka for efficient data processing and pipeline creation.
• Cloud Platforms: Knowledge of cloud-based analytics services such as AWS, Google Cloud Platform, and Azure.
• Analytical Skills: Exceptional ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Communication: Excellent communication skills to convey findings to stakeholders clearly, explaining reasoning and research to justify conclusions.
• Education: Master’s degree in Mathematics, Economics, Computer Science, Information Management, or Statistics.
• Problem-Solving: Exceptional analytical and problem-solving abilities, with a keen eye for detail and a passion for uncovering hidden insights.

Benefits

Market success: 15,000 renowned customers | Sustainable growth of over 10% | Publicly listed company (SDax & TecDax) | Security & Stability

Company Culture: Hybrid Work (Working from Home & Working from EU) | 30 days of vacation | Health Management | Diversity & Inclusion Team, (virtual) Events, Volunteer Day

Onboarding: Newbies Day in Munich | Extensive onboarding program with trainings | Buddy Program

Benefits: Optimized remuneration | Company pension | Medical package | Sports facilities | LinkedIn Learning | Professional Language Lessons

With our software products, we digitize workforce planning and workforce deployment processes in companies and thus improve the work-life balance for millions of employees worldwide. We enable companies to involve their employees in these processes and to better take their wishes into account when organizing working time. In this way, we help companies work more creatively, intelligently and humanely, revolutionizing the interplay between profitability and humanity. Cross-industry, in more than 50 countries, cloud-based. And we\'re successful. Our share price has grown more than 1,000% over the last ten years.

ATOSS Software AG | Ramona Kolb