Описание
Andersen is a pre-IPO software development company providing full-cycle services and creating digital solutions for enterprises and middle-sized firms worldwide. It operates through a global network of development centers and offices with more than 3,500 professionals.
Задачи
•Collect, clean, and transform data from relational and NoSQL databases in on-premise and cloud environments
•Write and optimize SQL queries for data extraction and processing
•Use Python or similar languages for advanced data processing, statistical analysis, and automation
•Apply statistical inference methods, including hypothesis testing and regression analysis
•Conduct A/B testing and interpret results to support data-driven decision-making
•Design, develop, and maintain BI dashboards and visualizations in Power BI, Tableau, and QlikView
•Select appropriate visualization methods for different business cases
•Work with direct connections, live queries, and extracts in BI platforms
•Evaluate and optimize BI licensing models and provide recommendations on functionality, scalability, and cost
•Integrate, analyze, and visualize data in Azure, GCP, or AWS
•Collaborate with stakeholders to gather requirements and deliver analytics that impact business outcomes
•Ensure accuracy, consistency, and adherence to data governance standards across reporting solutions
Требования
•Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Information Systems, or a related field
•At least 2 years of experience as a Data Analyst
•Strong SQL skills and hands-on experience with relational databases, including PostgreSQL, MySQL, and SQL Server
•Experience with NoSQL databases, including MongoDB and DynamoDB
•Practical experience using Python for analysis, data processing, and automation
•Knowledge of statistical inference and applied statistics, including A/B testing, confidence intervals, and regression
•Experience with Power BI, Tableau, and QlikView, including DAX, LOD, and Set Analysis
•Strong understanding of data visualization principles and chart selection
•Experience working with on-premise and cloud platforms for data analysis and visualization
•Hands-on experience with at least one cloud platform: Azure, GCP, or AWS
•Excellent analytical, problem-solving, and communication skills
•Ability to work independently and collaboratively with cross-functional teams
•English at Upper-Intermediate level or above
•German at Intermediate+ level or above
Nice to have: experience with ETL/ELT processes and data pipelines, familiarity with Snowflake, BigQuery, Synapse, Databricks, or Redshift, recognized professional certifications, knowledge of data governance and security best practices.
Условия
•Professional, financial, and career growth opportunities
•Mentoring and onboarding systems for each new employee
•Additional earnings of up to 1,000 USD per month depending on expertise, included in the annual bonus
•Corporate training portal
•Certification compensation, including AWS and PMP
•Referral program
•Private health insurance
•Compensation for sports activities
•Offices and hybrid work options are available in multiple European countries
