Summary
Qureos is a company committed to efficiency, collaboration, and innovation while providing tailored virtual assistant solutions. The Data Analyst will transform data into actionable business insights by analyzing results, developing data systems, identifying trends, and supporting business decision-making. The role also involves reporting, data quality control, and identifying process improvement opportunities.
Responsibilities
- Interpret data, analyze results using statistical techniques and provide ongoing reports
- Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
- Acquire data from primary or secondary data sources and maintain databases/data systems
- Identify, analyze, and interpret trends or patterns in complex data sets
- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
- Work with management to prioritize business and information needs
- Locate and define new process improvement opportunities
Skills
- 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 (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
Qualifications
Must Haves
- 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 (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
Benefits