Staff Data Analyst

Jobgether

Nava

Remote

EUR 35,000 - 55,000

Full time

2 days ago
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Job summary

Jobgether is seeking a Data Analyst to join a fully remote team. The role focuses on handling large datasets, extracting actionable insights, and supporting strategic decisions across the organization.

Collaboration across Spain, including regions near Pamplona, is valued. Ideal candidates will have strong analytical skills, experience with data visualization, and a passion for uncovering trends to drive business growth.

Qualifications

  • Collect, clean, and process large datasets from various sources.
  • Perform data analysis using statistical techniques to identify trends, patterns, and anomalies.
  • Develop and implement databases and data collection systems.
  • Create compelling

Responsibilities

  • Collect, clean, and process large datasets from various sources.
  • Perform data analysis using statistical techniques to identify trends, patterns, and anomalies.
  • Develop and implement databases and data collection systems.
  • Create compelling

Job description

Data Analyst (Remote)

Our client, a leading data-driven company, is seeking a motivated Data Analyst to join their remote team. This is an exciting opportunity to work with large datasets, derive actionable insights, and contribute to strategic decision‑making across the organization. The ideal candidate possesses strong analytical skills, proficiency in data visualization tools, and a passion for uncovering trends and patterns. You will play a crucial role in transforming raw data into meaningful information that drives business growth. While the position is fully remote, our client values collaboration and innovation, fostering a supportive environment for its team members across Spain, including those near Pamplona.

Key Responsibilities
  • Collect, clean, and process large datasets from various sources.
  • Perform data analysis using statistical techniques to identify trends, patterns, and anomalies.
  • Develop and implement databases and data collection systems.
  • Create compelling
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