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Title
Text copied to clipboard!Junior Data Analyst
Description
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We are looking for a Junior Data Analyst to join our team. The ideal candidate will be responsible for using data to answer strategic questions and support our team in making informed business decisions. You will be tasked with collecting, parsing, managing, analyzing and visualizing large sets of data using multiple platforms. You will also be responsible for designing and creating reports to satisfy client and internal needs. You will work closely with our IT team to maintain and develop systems to enhance our data analysis capabilities. This role requires strong attention to detail, critical thinking skills, and a strong analytical mindset.
Responsibilities
Text copied to clipboard!- Collecting and interpreting data
- Analyzing results
- Reporting the results back to the relevant members of the business
- Identifying patterns and trends in data sets
- Working alongside teams within the business or the management team to establish business needs
- Defining new data collection and analysis processes
- Creating data dashboards, graphs and visualizations
- Providing technical expertise on data storage structures, data mining, and data cleansing
- Working with the management team to create a prioritized list of needs for each business segment
- Protecting databases by developing access system by determining user level of access
Requirements
Text copied to clipboard!- Bachelor’s degree in Mathematics, Computer Science, Economics, or Statistics
- Proven working experience as a data analyst
- Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
- 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
- Ability to analyze existing tools and databases and provide software solution recommendations
- Ability to translate business requirements into non-technical, lay terms
- High-level experience in methodologies and processes for managing large scale databases
- Demonstrated experience in handling large data sets and relational databases
Potential interview questions
Text copied to clipboard!- Can you describe a time when you had to present complex data in a clear and simple way?
- What methods do you use to ensure data accuracy?
- Can you describe your experience with data analysis tools?
- How do you handle sensitive data?
- Can you describe a time when your analysis of a problem was incorrect? What did you learn from that?
- What programming languages are you familiar with?
- How do you handle deadline pressures without compromising your work?
- Can you describe a project where you automated a routine task?
- How do you ensure the validity of your data sources?
- What is your experience with data cleaning?