Title: Data Analyst (Product Engineer) - 100% Remote

About Us

Founded in 1973, O’Neil Digital Solutions (ODS) is a leading IT consulting firm specializing in the optimization of complex end-to-end business process systems for a multitude of business verticals including Financial Services, Digital Media, Healthcare, and Transportation industries. ODS provides high-touch bespoke software engineering, systems integration, and infrastructure management services to clients of all sizes and industries. From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations. ODS offers state of the art publishing solutions through our customer-centric applications and services include electronic document delivery, web applications, high-speed digital printing (color and black & white), automated composition, offset printing, warehousing and fulfillment services. ODS is headquartered in Los Angeles, CA and also has offices/plants in Texas and North Carolina centrally located to serve clients across the country.

Summary

The Product Engineer provides both technical expertise and data-driven insight to support customer requirements, product demonstrations, installations, and the ongoing maintenance of company products. This role bridges product knowledge and analytical skills to lead, innovate, problem-solve, and implement ideas that contribute to organizational growth.

Duties and 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.
Perform other duties as assigned.

Qualifications & Requirements

Bachelor’s degree or equivalent with 2+ years of experience in a technology-related environment.
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 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.
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.
Excel certifications such as Microsoft Office Specialist or similar are desirable.
Background in Marketing, Communications, Business Analytics, or Data Management is advantageous.
Experience working with Adobe Campaign, Alteryx or similar tools highly preferred.

Working Conditions

Must be able to perform essential job duties. Work is performed primarily in an office environment. Typically requires the ability to sit for extended periods of time (66%+ each work day), ability to hear the telephone, ability to enter data on a computer, and may also require the ability to lift up to 10 pounds.

Equal Opportunity Employer

O'Neil Digital Solutions is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.