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Mid-level Data Analyst - Remote

Posted 2 days ago
Data Analysis
Contract
USA
$50+/hour

Overview

FocusKPI is looking for a Mid-level Data Analyst to join our client's growing team to spearhead analyses and provide meaningful insights into our users and product.

In Short

  • Leverage data on users to build dashboards and answer key business questions.
  • Conduct in-depth analyses of data and report on key metrics.
  • Provide recommendations impacting product development and company initiatives.
  • Collaborate with Product Managers and Engineers to uncover new business opportunities.
  • Support new product launches and A/B testing.
  • Communicate complex data findings clearly to multi-disciplined teams.
  • Perform ad-hoc analysis for urgent business needs.
  • Work remotely from anywhere in the US.
  • Contract position with potential for extension.
  • Pay range starting at $50 per hour.

Requirements

  • Master's degree in computer science or related field required.
  • 4+ years of quantitative analysis experience.
  • Experience with SQL and Python.
  • Familiarity with Tableau for data visualization.
  • Understanding of Product Analytics.
  • Experience collaborating with stakeholders from various business functions.
  • Strong analytical and problem-solving skills.
  • Experience in Financial Services or FinTech preferred.
  • Previous work on evaluating product iterations or experiments.

Benefits

  • Opportunity to work remotely.
  • Potential for contract extension based on performance.
  • Engagement with a growing team of professionals.
  • Involvement in impactful product development.
  • Competitive pay rate.
FocusKPI logo

FocusKPI

FocusKPI, Inc. is a data science and technology firm founded in 2010, specializing in predictive analytics practices and methodologies. Headquartered in Silicon Valley, California, with an additional office in Boston, Massachusetts, FocusKPI is dedicated to delivering innovative solutions that drive business value for its clients. The company emphasizes a collaborative approach, leveraging strong technical expertise and industry knowledge to support enterprise-level projects and enhance customer success.

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