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EtaVista AI

IT

Data Analyst (Remote)

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Data Analyst (Remote)

  • Deadline 28 December 2024
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Employment Type: Remote
Experience Level:  Intermediate

About the Role
We are seeking a highly motivated and detail-oriented Data Analyst to join our team. In this role, you will turn raw data into actionable insights, enabling our organization to make informed decisions. Your expertise in data collection, analysis, and visualization will play a key role in shaping strategies and optimizing processes.

Key Responsibilities

  • Collect, clean, and preprocess data from various sources to ensure accuracy and reliability.
  • Perform detailed data analysis to identify trends, patterns, and anomalies.
  • Develop and maintain dashboards and reports to present insights to stakeholders.
  • Collaborate with cross-functional teams to define metrics and key performance indicators (KPIs).
  • Provide data-driven recommendations to support business strategies and decision-making.
  • Conduct ad-hoc analysis based on business requirements.
  • Stay updated with the latest tools, techniques, and trends in data analytics.

Qualifications:
Required:

  • Bachelor’s degree in Statistics, Data Science, Computer Science, Mathematics, or a related field.
  • Proficiency in data analytics tools such as SQL and Python.
  • Experience with data visualization platforms like Power BI, Tableau, or equivalent.
  • Strong analytical and problem-solving skills.
  • Attention to detail with excellent organizational and multitasking abilities.
  • Effective communication skills to present data insights clearly to non-technical stakeholders.

Preferred:

  • Experience with big data platforms (e.g., Hadoop, Spark).
  • Familiarity with statistical modeling and predictive analytics techniques.
  • Knowledge of database management systems.

Why Join Us?

  • Career development opportunities, flexible working hours, competitive salary, remote job
  • Work in a collaborative and innovative environment where your ideas matter.
  • Opportunity to make a meaningful impact through data-driven solutions.

How to Apply?
If you're passionate about transforming data into meaningful insights and are ready to contribute to a dynamic team, we’d love to hear from you. Please submit your updated resume detailing your experience and projects portfolio in the role to the e-mail address. 

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