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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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