Data Analyst

Flex•Austin, TX

About The Position

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary.

Requirements

A BS in Mathematics, Economics, or Computer Science.
Typically, a data analyst will want to have at least 1-2 years experience in a specific field when applying for a job in said field.
Same as grade 23.
Typically, a data analyst will want to have at least 2-4 years of experience in a specific field when applying for a job in said field.
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.
Programming skills preferred.
Adept at queries and report writing.
Knowledge of statistics, at least to the degree necessary in order 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.

Nice To Haves

Great ability with numbers as you will have to deal with complicated algorithms.

Responsibilities

Identify issues and conduct research to identify 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.
Prepare reports in the stipulated time.
Check the data to avoid mistakes.