Data Analyst

BVB bouwsupport
Arnemuiden, Netherlands
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Arnemuiden, Netherlands

Tech stack

Data analysis
Data Files
R
SPSS (Software)
Python
Machine Learning
SQL Databases
Stata
Information Technology
Programming Languages

Job description

  • Maintain databases and perform administrative tasks related to database maintenance.
  • Data collection and cleaning: Collect structured, unstructured, and spatial data from public, administrative, and proprietary sources, and participate in data cleaning projects, ensuring accuracy and completeness.
  • Analyze data, perform geoprocessing and spatial analysis, design queries for data extraction, generate and distribute specialized reports.
  • Communication: Prepare written and presented content to summarize key findings. Communicate to both technical and non-technical audiences using data storytelling.
  • Collaboration: Work with cross-functional teams to identify data needs and deliver data-driven solutions.
  • Continuous learning: Stay updated on the field of data analytics. Engage in continuous learning and professional development.
  • Perform other duties as assigned.

Requirements

  • Education: Bachelor's degree in Data Science, Urban or Regional Planning, Economics, Mathematics, Computer Science, or a related field.

  • Experience: At least one year of experience in data science, data analytics, or a related field.

  • Experience with spatial analysis in Esri ArcGIS.

  • Familiarity with census, local government, or other relevant geospatial data. OR

  • An equivalent combination of education and experience sufficient to successfully perform the essential duties of the job such as those listed above, unless otherwise subject to any other requirements set forth in law or regulation. CV, cover letter, writing sample (peer-reviewed, technical report, web publication, etc.), skills assessment (respond to a data analysis request and create relevant visualizations)

  • Technical Skills:

  • Principles of data analysis and database administration.

  • Quantitative research design and methodologies, such as statistical and machine learning techniques.

  • Statistical software and programming languages such as Python, R, SQL, Stata and/or SPSS. Analytical Skills: Excellent problem-solving, critical thinking, and capability to interpret complex data sets. Communication Skills: Strong verbal and written communication skills. Ability to present data findings clearly and concisely. Soft Skills: High attention to detail, strong organizational skills, and the ability to work independently and as part of a team. Adaptability, curiosity and a proactive approach to problem-solving.

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