Data Analyst
This mid-level data analyst role at Onlineriver focuses on extracting insights from large datasets to drive business decisions, requiring strong collaboration with cross-functional teams to optimize data quality and reporting. The position emphasizes translating complex data trends into clear, actionable reports for stakeholders while improving operational efficiency.
Skills required
About this role
We are seeking a skilled and detail-oriented Data Analyst to join our team. The ideal candidate will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports to support data-driven decision-making processes. The Data Analyst will work closely with various departments to identify business needs, assess data quality, and develop actionable insights.
Key Responsibilities
- Collect, process, and analyze large datasets to identify trends, patterns, and insights.
- Develop and implement data collection systems, data analytics, and other strategies that optimize efficiency and quality.
- Prepare reports and dashboards to communicate findings to stakeholders in clear, actionable formats.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Collaborate with cross-functional teams to define data requirements and ensure the accuracy of reporting.
- Assist in the design and development of databases, data systems, and data collection strategies.
- Monitor data integrity, identify data discrepancies, and recommend corrective measures.
- Create and maintain technical documentation for data processes and workflows.
- Support business decisions through ad hoc analysis as needed.
Skills, Knowledge and Expertise
- Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
- Proven experience as a Data Analyst or similar role, with a strong track record of working with large datasets.
- Proficiency in data analysis tools such as Excel, SQL, R, Python, or Tableau.
- Experience with database management systems and ETL processes.
- Solid understanding of statistical analysis, data mining, and predictive modeling techniques.
- Excellent problem-solving skills and attention to detail.
- Strong ability to translate complex data into understandable, actionable insights.
- Ability to work independently as well as in a collaborative team environment.
- Familiarity with data visualization tools like Power BI, Tableau, or similar platforms.
- Strong verbal and written communication skills.
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