Remote Data Analyst

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Description:

  • At IT Labs, we are looking for a skilled and detail-oriented Data Analyst who can turn complex datasets into actionable insights.
  • The Data Analyst will collaborate with the CTO and stakeholders to analyze trends, build predictive models, and create data-driven strategies.
  • Responsibilities include gathering reporting requirements, writing and managing reports using SQL and Retool, and analyzing large datasets to identify trends and insights that drive business improvement.
  • The role involves operationalizing predictive pricing and other models based on historical data to support key business initiatives.
  • The Data Analyst will provide data-driven recommendations for optimizing business processes and outcomes, ensuring data accuracy, integrity, and consistency across all reports and analyses.
  • Additionally, the position requires developing and maintaining dashboards and visualizations to effectively communicate findings to both technical and non-technical stakeholders.

Requirements:

  • A minimum of 5 years of experience as a Data Analyst is required.
  • Proven experience in a similar role is essential.
  • Proficiency in SQL for querying and manipulating data is necessary.
  • Experience with Retool or similar tools for building custom reports and dashboards is required.
  • Strong skills in Python for data analysis and predictive analytics are needed.
  • Experience in predictive modeling, including the ability to operationalize models for business use cases, is essential.
  • Strong analytical and problem-solving skills, with keen attention to detail, are required.
  • Familiarity with data visualization tools and techniques is necessary.
  • Excellent communication skills, with the ability to present findings to both technical and non-technical stakeholders, are essential.
  • A Bachelor’s degree in a relevant field (e.g., Data Science, Statistics, Computer Science, Economics) is required.

Benefits:

  • The position offers a long-term 12-month contract.
  • Candidates can choose their contract type: Contract (1099) or B2B/C2C.
  • There is an unlimited working-from-anywhere policy.
  • Referral bonuses are available.
  • Employees will have the opportunity to work on international projects.
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