Senior Data Analyst

3 tygodni temu

Gdańsk, Polska Belmont Lavan Ltd Pełny etat

Senior Data Analyst - Hybrid

About the Company:

Belmont Lavan Ltd is a leading data-driven company that specializes in addressing environmental challenges. We are dedicated to using data to drive positive change and contribute to a sustainable future. We are currently looking for a Senior Data Analyst to join our team.

Job Description:

As a Senior Data Analyst, you will be responsible for analyzing large datasets, identifying trends, and providing actionable insights to drive decision-making and support business objectives. You will work closely with stakeholders to understand their data needs and requirements, develop innovative analytical solutions, and deliver high-quality reports and visualizations.

Responsibilities:

  • Analyze complex datasets using advanced statistical techniques
  • Develop and implement data models, algorithms, and predictive models
  • Identify trends and patterns in data and provide meaningful insights
  • Create and maintain data pipelines and data workflows
  • Collaborate with cross-functional teams to drive data initiatives and projects
  • Create visually impactful and interactive reports and dashboards
  • Communicate findings and insights to stakeholders in a clear and concise manner

Requirements:

  • Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics, or related field)
  • Minimum of 5 years of experience in a data analysis role
  • Strong proficiency in SQL and Python/R
  • Experience with data visualization tools (e.g., Tableau, Power BI)
  • Ability to work independently and handle multiple projects simultaneously
  • Excellent problem-solving and critical-thinking skills
  • Strong attention to detail and accuracy
  • Good communication and presentation skills
  • Experience with machine learning and predictive modeling is a plus
  • Hybrid work experience is preferred

Requirements

Required Skills and Qualifications:

  • Bachelor's degree in a quantitative field
  • Minimum of 5 years of experience in data analysis
  • Strong proficiency in SQL and Python/R
  • Experience with data visualization tools
  • Ability to work independently and handle multiple projects
  • Excellent problem-solving and critical-thinking skills
  • Strong attention to detail and accuracy
  • Good communication and presentation skills
  • Experience with machine learning and predictive modeling is a plus
  • Hybrid work experience is preferred

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