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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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