Data Analyst

Syntec Optics•Rochester, NY

33d

About The Position

The primary responsibility of the Data Analyst is to collaborate with leadership to identify opportunities for improvement through interpretation of various information across the facility. They will be responsible for keeping the vitals of the business up to date and presentable. Their goal will be to continuously identify areas lacking in strong metric reporting and coordinate with team leaders to customize dashboards and data flows. These initiatives include developing and implementing additional technologies such as tablets, software, and data processes. They will work closely with leaders across the business to quickly identify opportunities

Requirements

AS/BA in Computer/Data Science
3 to 5 years' experience
Proficient with Microsoft 365

Nice To Haves

Preferred experience with any of the following: SQL/ R/ MATLAB/ Python
Preferred experience with BI software such as Tableau/ Power BI

Responsibilities

Create and maintain various informational graphics to convey metrics accurately and quickly to department leaders
Pull data from facility software and parse crucial operational insights such as scrap percent, utilization, overages, as well as KPIs dictated by business leaders
Maintain KPIs and ensure data is up to date and relevant for current business direction
Remove dated, corrupted, or otherwise unusable data from databases
Assist with data acquisition and develop additional processes to capture manufacturing data accurately and consistently
Develop departments with Industry 4.0 ideologies and standard practices
Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that will help the organization navigate
Assign numerical value to essential business functions so that performance can be assessed and trended over periods of time
Prepare reports for leadership stating patterns, trends, and predictions using relevant data
Develop automated tools to assist with data acquisition, data queries, and data shaping
Assist with training on new processes and procedures for data acquisition
Continuously analyze and identify room for improvement on all databases including ERP and QMS related software
Support initiatives for data integrity and normalization
Assess software and hardware needs to assist with strategic decisions on new and existing systems
Troubleshoot database environments and reports to ensure informational integrity and accuracy