Data Analyst / Data Analytics Engineer 80-100%
Ppcmetrics Ag
Zürich, Switzerland
6 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
CHF 208KJob location
Zürich, Switzerland
Tech stack
Airflow
Computer Programming
ETL
Data Visualization
Database Queries
Python
Power BI
SQL Databases
Web Platforms
Scripting (Bash/Python/Go/Ruby)
Information Technology
Data Analytics
REST
Data Pipelines
Job description
Join PPCmetrics AG as a Data Analyst / Data Analytics Engineer. Great opportunity for growth in a dynamic team!
Tasks
- Program data analyses for client investment controlling reports.
- Develop interactive graphics and dashboards for our web platform.
- Design and maintain robust ETL processes and data pipelines., * Programming data analyses for the investment controlling reports of our clients
- Developing interactive graphics / dashboards for our web-based customer platform
Requirements
- Degree in Data Analytics, Data Science, or related fields required.
- Experience with data visualization tools and SQL essential.
- Knowledge of scripting languages like Python and REST APIs preferred., * Successfully completed studies with a focus on Data Analytics, e.g. in Data Science, Natural Sciences, Mathematics, Statistics, Econometrics or Computer Science (University, ETH or University of Applied Sciences degree)
- Practical experience with data visualization tools (Power BI, MS Fabric), analytical languages (R) and database queries (SQL)
- Experience with other scripting languages (e.g. Python) and practical use of REST APIs
- Basic knowledge of data modeling (Star Schemas, Slowly Changing Dimensions, etc.)
- Experience in designing, creating and operating robust and stable ETL (Extract, Transform, Load) pipelines
- Experience with data orchestration tools such as Apache Airflow, Prefect or comparable systems
- Advantageous: Knowledge in Economics, Finance and Investments (e.g. asset classes, financial products, performance metrics)
Benefits & conditions
- Broad and varied range of tasks at the interface of technology innovation and current financial topics
- Modern technology: cloud-based platforms, automated data processes, AI use cases, GitOps
- Opportunities to continuously deepen and broaden your interests and knowledge
- Open corporate culture with informal address and casual dress code
- Collegial collaboration in a young and well-coordinated team
- Balanced work-life balance (flexible working hours, hybrid work, work models with individual time management)
- Workplace within walking distance to Zurich main station
Would you like to work in our team? Then please send your complete application documents via the application form to Yves Conte, Assistant Human Resources.