570 data analyst m f d Jobs in munich, nd
ATOSS Software SE is Hiring a Data Analyst m/f/d Near Munich, ND
We are looking for you!
YOUR TASK SCOPE:
- 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 CAPABILITIES:
- 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.
WHAT WE OFFER?
- Onboarding: Newbies Day in Munich, 5-week onboarding with training courses, buddy programme
- Benefits: Participation in the company's success, employee share programme, Germany Job Ticket, Sodexo vouchers, corporate benefits
- Corporate culture: Flexibility through hybrid work (work from home/work from EU), 30 days' holiday, Diversity & Inclusion Team, (virtual) events for employees (e.g. summer camps), barista at headquarters, Volunteer Day
- Career and further training: career model with Expert & Leadership Track, ATOSS Academy, LinkedIn Learning
- Health initiatives: Check-ups, health campaigns, Gympass, JobRad, company doctor
- Security & stability: Listed on the stock exchange: SDax & TecDax, over 30% EBIT margin, scale-up, 18 years of record sales and earnings, visibility, future-oriented product
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.
Job Summary
Full Time
$86k-112k (estimate)
06/27/2024
07/25/2024
The following is the career advancement route for Data Analyst m/f/d positions, which can be used as a reference in future career path planning. As a Data Analyst m/f/d, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst m/f/d. You can explore the career advancement for a Data Analyst m/f/d below and select your interested title to get hiring information.
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Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Analyst job description and responsibilities
A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.
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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Analyst jobs
Data analysts typically work with existing data to solve defined business problems.
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Data analysts rely on various tools to collect and make sense of their data.
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Banks and financial firms need data analysts for financial reporting and forecasting.
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Data analysts often work directly with more senior data team members like data scientists or data engineers.
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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.
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Step 3: View the best colleges and universities for Data Analyst.
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