Data Analyst
Remote Worldwide Part-time Mid-level Data Analysis & BI
At a glance
Mid-level Data Analysis & BI role at Online River. Remote · part-time.
Pay not stated Data Analyst salary
RoleData Analysis & BI
SeniorityMid-level
LocationWorldwide
WorkplaceRemote
EmploymentPart-time
PostedSep 24, 2024 · 2y ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Gather and work through large datasets to find meaningful trends, patterns and insights
- Turn analysis results into reports and dashboards stakeholders can use
- Coordinate with departments to set reporting needs and verify that outputs are accurate
- Review data for quality problems, trace discrepancies and suggest corrections
- Keep process documentation current and handle one-off analysis requests for business decisions
What you bring
- A degree in data science, statistics or another related listed field
- Experience as a data analyst or in a similar role, with a record of handling large datasets
- Proficiency with analysis tools such as Excel, SQL or another listed tool
- Experience using database systems and ETL processes
Who this fits
This part-time remote role suits someone who can work independently and collaborate across departments. You'll need to explain complex findings in clear, actionable terms.
From the employer
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.
- 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.
- 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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