O’Neil Digital Solutions (ODS) is looking for a Product Engineer to provide technical expertise and data-driven insights to support customer requirements, product demonstrations, installations, and the ongoing maintenance of company products. This role will bridge product knowledge and analytical skills to lead, innovate, problem-solve, and implement ideas that contribute to organizational growth.
Requirements
- Proficiency in data processing with hands-on experience in tools such as Excel, Google Sheets, and beyond (e.g., SQL, Python, or data transformation platforms).
- Demonstrated ability to manipulate, clean, analyze, and transform complex datasets using functions or formulas to support data workflows.
- Experience in data aggregation and analysis using Excel, Google Sheets, or SQL.
- Experience working with Adobe Campaign, Alteryx or similar tools highly preferred.
- Excel certifications such as Microsoft Office Specialist or similar are desirable.
- Experience in print technology environments or communication platforms (e.g., Salesforce, Mailchimp, HubSpot) is a plus.
- Strong attention to detail and accuracy; capable of translating business rules into data processes.
Responsibilities
- Support customer requirements by validating feasibility and data logic.
- Provide technical consultation and software demonstrations to prospective users.
- Ensure product applications are implemented and functioning according to specifications.
- Offer post-sales support by disseminating technical guidance on customer applications and solutions.
- Perform data aggregation tasks such as segmenting, cleaning, and validating large datasets across multiple tables.
- Implement conditional logic, identify duplicates, and apply quality assurance techniques to maintain data integrity.
- Collaborate with cross-functional teams to ensure effective communication of data rules, marketing list segmentation, and CRM import/export readiness.
Other
- Bachelor’s degree or equivalent with 2+ years of experience in a technology-related environment.
- Demonstrated ability to work independently and maintain accountability for timelines and deliverables.
- Effective communicator with the ability to explain technical data insights clearly to stakeholders.
- Integrity, professionalism, and a collaborative mindset.
- Background in Marketing, Communications, Business Analytics, or Data Management is advantageous.
