Python jobs in Canada

Data Analyst m / f / d

Munich | Fulltime | Permanent

• 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 Managemen t : 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 Model s : 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.

• 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 (., Business Objects), databases (., SQL), and programming (., 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 (., 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.

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 on-boarding 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 | | Share