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Title
Text copied to clipboard!Learning Data Analyst
Description
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We are looking for a Learning Data Analyst to join our team. The ideal candidate will be responsible for collecting, analyzing, and interpreting large, complex datasets to drive decision-making and improve learning outcomes. This role will involve developing and implementing data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality. The Learning Data Analyst will also use predictive modeling to increase and optimize student experiences, revenue generation, ad targeting, and other business outcomes. The candidate will need to have a proven ability to drive business results with data-based insights and be comfortable working with a wide range of stakeholders and functional teams. The right person will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Responsibilities
Text copied to clipboard!- Collecting, analyzing, and interpreting raw, complex datasets.
- Developing and implementing data analyses, data collection systems, and other strategies.
- Using predictive modeling to increase and optimize student experiences, revenue generation, ad targeting, and other business outcomes.
- Working with stakeholders to improve business outcomes.
- Identifying, analyzing, and interpreting trends or patterns in complex data sets.
- Filtering and cleaning data, and reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
- Working closely with management to prioritize business and information needs.
- Locating and defining new process improvement opportunities.
- Creating automated data collection systems.
- Training end users on new reports and dashboards.
Requirements
Text copied to clipboard!- Bachelor's degree in Mathematics, Economics, Computer Science, Information Management or Statistics.
- Proven working experience as a data analyst or business data analyst.
- Technical expertise regarding data models, database design development, data mining and segmentation techniques.
- Strong knowledge of and experience with reporting packages, databases, and programming.
- Knowledge of statistics and experience using statistical packages for analyzing large datasets.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Adept at queries, report writing and presenting findings.
- Experience in data models and reporting packages.
- Ability to analyze large datasets.
- Ability to write comprehensive reports.
Potential interview questions
Text copied to clipboard!- Can you describe a time when you had to analyze a complex dataset and what was the outcome?
- What statistical analysis tools are you most comfortable with and why?
- Can you describe a time when your analysis of a dataset led to a significant improvement in business outcomes?
- How do you handle missing or inconsistent data in a dataset?
- Can you describe your experience with data mining and segmentation techniques?