Data Analyst

General Purpose

Responsible for providing expertise to acquire, manage, manipulate, and evaluate data and report results, and escalating data integrity issues.

• Identify issues and conduct research to find the best course of action to correct the data
• Evaluate and problem‑solve issues with current and planned systems as they relate to the integration and management of patient data
• Evaluate reports of data duplicates or errors to provide ongoing appropriate inter‑departmental communication and monthly or daily data reports
• Monitor for timely and accurate completion of select data elements
• Identify, review, and interpret trends or patterns in complex data sets
• Monitor data dictionary statistics

• Develop and maintain databases and data systems necessary for projects and department functions
• Acquire and abstract primary or secondary data from existing internal or external data sources
• Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
• Perform data entry, either manually or using scanning technology, when needed or required

• Interpret data and develop recommendations based on findings
• Develop graphs, reports, and presentations of project results
• Perform basic statistical analyses for projects and reports
• Create and present quality dashboards
• Generate routine and ad hoc reports

• Evaluate the data that comes in from each department
• Build reports that compile the data into simple and understandable format for management
• Coordinate with other departments and collect data daily
• Make use of the statistics and the programs provided by the company
• Work closely with senior management and help them find solutions
• Design efficient data collection techniques and prepare reports in the stipulated time
• Check the data to avoid mistakes
• Great ability with numbers as you will have to deal with complicated algorithms

A BS in Mathematics, Economics, or Computer Science. Typically, a data analyst should have 1‑4 years of experience in a specific field. Same as grade 23.

• Technical expertise regarding data models and database design development. Understanding of XML and SQL.
• Proficient in MS Word, Excel, Access, and PowerPoint.
• Experience using SAS, SPSS, or other shop floor systems. Statistical package knowledge is desirable for analyzing large datasets.

• Knowledge of statistics, at least to the degree necessary to communicate easily with statisticians.
• Experience in data mining techniques and procedures and knowing when their use is appropriate.
• Ability to present complex information in an understandable and compelling manner.

Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We’re happy to provide reasonable accommodations to those with a disability for assistance in the application process.

Please email  for disability assistance; this email does not accept or consider resumes or applications. You must complete the application process first.