DG
Data Scientist/ Data Analyst
Dancing Goat Coffee
Zürich · On-site Entry Level 3w ago
About the role
About
- Company: Quantum Analytics Solutions
- Employment Type: Full-Time
- Level: Entry-Level / Mid-Level
- Position: Data Scientist / Data Analyst
Role Summary
Quantum Analytics Solutions is seeking a skilled Data Scientist / Data Analyst to transform data into actionable insights that drive business decisions. This role involves statistical analysis, predictive modeling, and data visualization to support strategic initiatives.
Key Responsibilities
- Collect, clean, and process large datasets from multiple sources.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop predictive models and machine learning solutions to solve business problems.
- Create dashboards, visualizations, and reports to communicate insights effectively.
- Collaborate with cross-functional teams to define metrics and key performance indicators (KPIs).
- Translate complex data into actionable business recommendations.
- Maintain and optimize data pipelines, models, and analysis workflows.
Requirements
- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
- Proficiency in SQL, Excel, and data analysis tools.
- Experience with Python, R, or similar programming languages for data analysis.
- Knowledge of statistical methods, predictive modeling, and machine learning algorithms.
- Strong analytical, problem-solving, and communication skills.
- Ability to present technical findings to non-technical stakeholders.
Preferred Qualifications
- Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow).
- Familiarity with BI and data visualization tools (Tableau, Power BI, Looker).
- Knowledge of big data platforms (Hadoop, Spark) and cloud solutions (AWS, Azure, GCP).
- Previous experience in finance, healthcare, or technology analytics is a plus.
Requirements
- Proficiency in SQL, Excel, and data analysis tools.
- Experience with Python, R, or similar programming languages for data analysis.
- Knowledge of statistical methods, predictive modeling, and machine learning algorithms.
- Strong analytical, problem-solving, and communication skills.
- Ability to present technical findings to non-technical stakeholders.
Responsibilities
- Collect, clean, and process large datasets from multiple sources.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop predictive models and machine learning solutions to solve business problems.
- Create dashboards, visualizations, and reports to communicate insights effectively.
- Collaborate with cross-functional teams to define metrics and key performance indicators (KPIs).
- Translate complex data into actionable business recommendations.
- Maintain and optimize data pipelines, models, and analysis workflows.
Skills
AWSAzureExcelGCPHadoopLookerMachine learningPower BIPythonRSQLSparkTableauTensorFlow
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