8/16/2019 Statistical Data Engineer Job Description

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Statistical Data Engineer Job Responsibilities:

Provides statistical information for quality improvement by evaluating production

and testing data. Evaluate and improve manufacturing quality, performance and

capability. Interact with corporate QA directives and customers concerning quality

and process capability.

 Job Description

• Formulate methodology for use of dimensional data for verication for variation

reduction and root cause analysis.

• !emonstrate variation reduction to improve in "i# "igma and Process $apability

in plant level

• Formulate data collection plans for di%erent types of data& utili'e "P$ tools to

analy'e data& translate results of statistical analysis into specic

corrective(preventive actions on the shop )oor

•

Perform !*E studies to quantify the impact of di%erent sources of variation onthe body quality

• Implement process improvements in +ey areas of operations& follow up to ensure

that the improvements are sustained over time

• esearch on new technology and processes to implement in the manufacturing

plants as a direct resolution of e#isting quality or productivity issues

• !eveloping standards and maintaining statistical process control using statistical

tools& provide innovative solutions to minimi'e costs.

• Perform supplier qualications, material issue resolution, drive supplier

corrective actions, perform customer(supplier audits, collect and evaluate

supplier quality data and provide process performance analysis.

• $oordinate with "ales, Purchasing, Engineering, Production and Quality $ontrol

to resolve customer complaints and concerns.

Skills

-!ata Analysis "+ills, prociency in E#cel, QI acros, "i# "igma etc.

-/nowledge of "tatistical Process $ontrol ethods

-E#cellent $ommunication "+ills

-0ood interpersonal and relationship management s+ills

-1echnical problem solving and business issue management s+ills

-0ood to E#cellent 2nderstanding of3

4API Quality anagement "ystem4Quality Inspection methods, procedures

4echanical 1esting and 5!E methods

40eometric dimension and tolerance

4 2se of quality improvement methodology such as "i# "igma and 6ean

anufacturing.

4Problem "olving