Organization Description
Springdale is a part of the Northwest Arkansas (NWA) metropolitan area and region within the Ozark Mountains. Nearby cities include Fayetteville, Rogers, and Bentonville. It is the 13th fastest growing metropolitan area in the United States. Growth is driven by several Fortune 500 companies, including the company, as well as over 1,300 suppliers and vendors drawn to the region by these large businesses. NWA amenities include the Crystal Bridges Museum of American Art, Walmart AMP and Razorback Regional Greenway.
Our Springdale facility is located in the 4th largest city in the state of Arkansas. Located in both Washington and Benton counties, our city is a diverse and friendly community. Catch a ride on the beautifully restored Arkansas and Missouri Railroad or visit the Shiloh Museum of Ozark History. Outdoor enthusiasts flock to the scenic waters of Beaver Lake for water sports and relaxation, and the multitude of parks and trails of the Ozarks. Home to the Randal Tyson Recreational Complex and the Botanical Gardens of the Ozarks, Springdale offers many unique world-class attractions. See more about Springdale here: explorespringdale.com.
Employer Description
Our company, a Fortune 500 company, is a leading provider of aluminum sheet, plate and extrusions, as well as innovative architectural products, that advance the automotive, aerospace, commercial transportation, industrial and building and construction markets. Building on more than a century of innovation, the company helps to transform the way we fly, drive, and build. We are proud that 77% of our employees are happy working for the company and would recommend it as a great place to work and that 80% of our employees would recommend their managers to others.
We live our core values and commit to delivering sustainable value to our customers, our employees, our communities and our stakeholders.
At our company, we:
Act With Integrity.
We lead with respect, honesty, transparency and accountability.
Safeguard our Future.
We protect and improve the health and safety of our employees, communities and environment.
Grow Stronger Together.
We cultivate an inclusive and diverse culture that advocates for equity.
Earn Customer Loyalty.
We build customer partnerships through best-in-class products and service.
Drive Operational Excellence.
We pursue continuous improvement through innovation, agility, people development and collaboration.
Create Value.
We achieve success by generating and growing value for our stakeholders.
United States Equal Employment Opportunity Statement
Our company is an equal opportunity employer that is committed to inclusion and diversity. We take action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
Job Description
Our company is currently in search of a Data Systems Engineer to join our Kawneer Team in Springdale, AR.
At our company, we are looking for people who share our values of integrity, inclusion, and diversity, and who demonstrate agility, results commitment, and the capability to grow themselves and others. In return, we offer the opportunity to Grow Together with ongoing opportunities for professional growth provided by a constantly changing environment, working alongside employees who value the people they work with just as much as the work they do.
Job Description
This position is accountable for the development of data analytic strategies and systems capable of increasing the efficiency and problem-solving capabilities within BCS.
Description - External
Organize, construct, and deploy systems capable of analyzing and displaying large amounts of data in formats that meet the organizational requirements.
Lead technical projects with diverse teams while staying on-time and within budget.
Communicate processes and findings effectively at all levels of the organization.
Engage the organization deeper into problem solving efforts utilizing performance metrics, cost components, quality data, design parameters, machine parameters, process characteristics, etc., using various tools including but not limited to:
Business Intelligence Suites
Databases
Reporting Tools
Statistical Analytical Software
Perform “what if” analysis and communicate recommendations to both operational and IT leaders.
Collaborate with other Engineers and IT resources to maximize use of manufacturing systems.
Identify and correct data limitations (e.g. signal / noise ratio, sample size, inconsistencies, missing values, corruption, etc.).
Design and implement dashboards and key metric scorecards.
Determine potential causes of problems and devise data testing methodologies for validation.
Search and probe questions with peers and process experts that ultimately leads to action and recommendations.
Guide and direct small teams to achieve project objectives including the set up and execution of smart manufacturing deployment across multiple locations.
Streamline and improve existing data analytics tools within the continuous improvement processes and systems.
Use data, best practices and Kaizen methodologies to increase process efficiency and reduce operational cost.
Qualifications
Basic Qualifications:
Bachelor’s Degree required.
Minimum of 2 years of experience with data systems processes and improvement strategies
At least 1 year experience in one or more of the following: Matlab, Statistics and Machine Learning, Neural Networks, R, Capstone DataPARC, modeFrontier, Azure, Power BI, Crystal Reports, SQL, SQL Report building Software, .Net or equivalents.
At least 1 year Microsoft Office experience especially with Teams, Excel and Powerpoint
Legally authorized to work in the US without company sponsorship provided. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
Preferred Qualifications:
Bachelor’s Degree in Engineering, Data Science or related field.
Experience in various data systems and the ability to tailor and present data analytics methods and findings to leadership to drive effective decision making.
Strong analytical and problem-solving skills with the ability to develop and use structured approaches to identify root causes and recommend solutions.
Good verbal and written communication skills.
Experience with SMART Manufacturing or Industry 4.0.