O
Onlineriver
Data Analyst

Remote Data Analyst

HybridMidData Analystposted recently
Role summaryAI-generated

This role focuses on translating raw data into strategic insights for cross-functional teams, emphasizing clear reporting and actionable recommendations to drive business decisions. The ideal candidate will balance technical proficiency in data tools with strong collaboration skills to support Onlineriver’s data-driven growth.

Skills required

About this role

We are seeking a highly motivated Data Analyst to join our team. As a Data Analyst, you will play a crucial role in analyzing data and providing insights to support data-driven decision-making. You will work closely with various teams to interpret data, identify trends, and assist in making strategic recommendations that align with our business objectives.

Key Responsibilities

  • Data Collection: Gather and clean large datasets from multiple sources, ensuring data accuracy and integrity.
  • Data Analysis: Perform thorough data analysis using statistical methods to identify trends, patterns, and outliers.
  • Reporting: Create clear, actionable reports and visualizations using tools like Excel, Power BI, or Tableau to present data insights to stakeholders.
  • Business Insights: Collaborate with cross-functional teams to translate data findings into actionable business insights and recommendations.
  • Performance Monitoring: Track key performance metrics and provide regular updates on business performance.
  • Data Management: Maintain and update databases, ensuring data security and organization.
  • Predictive Analysis: Use advanced analytical techniques such as regression, forecasting, and machine learning to predict future trends and behaviors.
  • Problem-Solving: Identify data-related challenges and propose innovative solutions.
  • Collaboration: Work with IT, product teams, and other departments to develop and implement data-driven solutions.

Skills, Knowledge and Expertise

  • Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
  • Proficiency in data analysis tools such as Excel, SQL, Python, or R.
  • Experience with data visualization tools like Tableau or Power BI.
  • Strong analytical and problem-solving skills with a keen attention to detail.
  • Excellent communication skills, with the ability to explain complex data insights to non-technical stakeholders.
  • Ability to work independently and manage multiple projects in a fast-paced environment.
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