About Archer Daniels Midland
Sourced by ZipRecruiter
Industry
Manufacturing, real estate, food and drink manufacturing and accounting services
Company size
1,001 - 5,000 Employees
Headquarters location
Chicago, IL, US
ADM rating
7.9
Based on 186 frontline employees who took The Breakroom Quiz
76th of 366 rated logistics
Job description
Data Analyst - Decatur, IL
Position Summary:
The Reporting and Data Specialist is responsible for building, maintaining, enhancing and leveraging data, information and reporting systems for the Decatur East Plant. This role is a critical partner and stakeholder in ensuing the integrity of the site process, production and quality information, and delivers value by fostering clear and confident direction and data-based decision making. This role partners closely with the operations, RCM and improvement groups, along with BU accounting and finance to drive quality, cleanliness and clarity in all East Plant reporting products.
Job Responsibilities:
ADM requires the successful completion of a background check.
REF:112641BR
Position Summary:
The Reporting and Data Specialist is responsible for building, maintaining, enhancing and leveraging data, information and reporting systems for the Decatur East Plant. This role is a critical partner and stakeholder in ensuing the integrity of the site process, production and quality information, and delivers value by fostering clear and confident direction and data-based decision making. This role partners closely with the operations, RCM and improvement groups, along with BU accounting and finance to drive quality, cleanliness and clarity in all East Plant reporting products.
Job Responsibilities:
- OSI PI Subject matter expert and super-user for site
- Ownership of all PI reporter content. Upgrade and maintain existing content and
- Align production reports. Engineer out redundancy and inefficiency in production reporting workflow. Automate production reporting where possible.
- Construct and maintain PI asset framework hierarchy.
- Ownership of PI Vision Dashboards. Align and streamline to reduce redundancy and obsolescence.
- Utility reporting. Daily and monthly process analysis and allocation tie-out
- Align with operations and improvement team on yield reporting. Long term goal of rebuilding yield file, in partnership with accounting, operations, and engineering.
- Support Improvement team along with plant leadership to implement and track performance metrics to maintain or improve the effectiveness of operating assets.
- Parter and support with quality, maintenance and EHS teams to optimize and streamline data and reporting products.
- Partner with and provide local support for initiatives such as digital SMS, digital value stream mapping, advanced analytics, business intelligence, QMS systems and industrial transformation and modernization
- BS degree required in engineering, computer science, IT or equivalent
- 5+ years in process operations with preferred exposure to engineering, project and operations management, or, 5+ years in IT management systems and data processing and architecture systems coupled with strong process operations acumen
- Operations experience is preferred.
- Dedication to working safely and to the awareness for the safety of others.
- Excellent communication and people skills for working with plant personnel and regional management.
- Willingness to spend time in plant areas - tolerate extreme temperatures, walk long distances, stand, climb stairs and ladders and move through close spaces.
- Ability to work effectively on a team as well as independently while traveling to remote plant locations.
- Demonstrated problem solving, diagnostic and analytical skills, with a result focused approach.
- Excellent oral and written communication skills
- Team player with a propensity for collaboration
- Working knowledge of data and analytics architecture, data warehousing concepts, and data integration best practices is helpful.
- Awareness-level or better competency in several to all of the following platforms and systems: SQL, C#, ASP.NET MVC, Javascript, Microsoft SQL Server, IIS, Web development, Visual Studio, Excel PowerQuery, and Power BI is helpful.
- Self-motivated work habits and capable of prioritizing and balancing resources between multiple simultaneous initiatives
- Direct experience in applicable manufacturing unit operations preferred, for example: soybean extraction/refining, spray drying, dry blending, emulsions, reactions, separations, distillation, filtration, corn wet milling is helpful but not necessary in this role.
- Controls and plant automation knowledge or experience is very helpful.
ADM requires the successful completion of a background check.
REF:112641BR
adm.com
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Analyst?
A: To succeed as a Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical analysis and machine learning concepts. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for presenting insights to stakeholders and working with cross-functional teams. By combining these technical and soft skills, Data Analysts can drive business decisions, identify areas for improvement, and contribute to the growth and success of their organization.
Q: What is the career path for a Data Analyst?
A: A Data Analyst's typical career progression involves starting as an Entry-Level Data Analyst, where they collect, analyze, and interpret data to inform business decisions. As they gain experience, they can move into Mid-Level roles such as Senior Data Analyst or Business Analyst, where they take on more complex projects and lead smaller teams. Ultimately, they can advance to Senior Leadership positions like Data Scientist, Data Manager, or even Director of Analytics, where they oversee large-scale data initiatives and drive strategic business growth.\n\nKey opportunities for skill development and professional growth in this role include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and staying up-to-date with emerging trends in machine learning and artificial intelligence. Additionally, Data Analysts can develop soft skills like communication, project management, and leadership to excel in their roles.\n\nLong-term career prospects for Data Analysts are diverse, with potential directions including transitioning into related fields like Business Intelligence, Data Engineering, or even becoming a Product Manager, or pursuing advanced degrees in Data Science or related fields to further specialize in areas like machine learning or data engineering.
