Data Analyst

EV Biotech
21 days ago

Role details

Contract type
Internship / Graduate position
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Tech stack

Data analysis
Spreadsheets
Databases
Data Governance
Data Transformation
Data Structures
Data Visualization
Query Languages
Data Processing
Information Technology
Data Analytics

Job description

The Junior Data Analyst supports data-driven decision-making by collecting, processing, and analyzing data to generate meaningful insights. This role is designed for early-career professionals who are eager to develop analytical skills, work with structured datasets, and collaborate with cross-functional teams to support business objectives. The position offers hands-on experience with data analysis tools, reporting, and performance measurement. Key Responsibilities

  • Collect, clean, and validate data from multiple sources to ensure accuracy and consistency.
  • Assist in analyzing datasets to identify trends, patterns, and performance indicators.
  • Prepare regular and ad hoc reports, dashboards, and data summaries for internal stakeholders.
  • Support data visualization efforts to present insights in a clear and actionable manner.
  • Assist in maintaining databases and ensuring proper data documentation.
  • Work closely with senior analysts to understand business requirements and analytical methodologies.
  • Participate in quality checks and data governance activities.
  • Help automate routine data processing and reporting tasks where applicable.
  • Support performance tracking by monitoring key metrics and indicators.
  • Contribute to continuous improvement of data analysis processes and tools.

Requirements

  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a related field.
  • Basic understanding of data analysis concepts, statistical methods, and data structures.
  • Familiarity with spreadsheets, databases, and data visualization tools.
  • Introductory knowledge of query languages or analytical scripting is an advantage.
  • Strong attention to detail and commitment to data accuracy.
  • Analytical mindset with problem-solving capabilities.
  • Ability to communicate findings clearly to both technical and non-technical audiences.
  • Strong organizational skills and ability to manage multiple tasks.
  • Willingness to learn new tools, techniques, and analytical frameworks.
  • Experience from academic projects, internships, or personal data analysis work is a plus.

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