510 Data Analysis jobs in Maplewood,NJ

Salary: $120000 - $145000 USD per year

Base salary range: $120,000 – $145,000, depending on experience, plus meaningful stock options

Meaningful stock options

Full benefits (Health, Dental, Vision)

Remote-friendly - US based

Professional experience building ATS, HR technology, or recruiting-system integrations.

Familiarity with one or more ATS platforms such as Bullhorn, Avionte, JobDiva, Greenhouse, Lever, Workday, iCIMS, or SmartRecruiters.

Experience integrating third-party systems through REST APIs, webhooks, OAuth, scheduled jobs, file transfers, or data exports.

Strong Node.js, TypeScript and PostgreSQL skills.

Experience modeling and synchronizing interconnected records such as jobs, candidates, applications, submissions, and placements.

Experience designing data synchronization systems where correctness, idempotency, throughput, and recovery from partial failures matter.

Experience processing large volumes of operational data through batching, pagination, incremental synchronization, and backfills.

Ability to investigate unfamiliar systems, understand inconsistent data models, and turn ambiguous requirements into reliable solutions.

Strong debugging skills across authentication, data mapping, API behavior, synchronization state, and data quality.

A practical approach to engineering reliable systems without unnecessary complexity.

Comfort owning customer integration problems from initial discovery through deployment and ongoing support.

Experience incorporating coding agents into day-to-day software engineering work.

Experience leading technical conversations with both technical and nontechnical customer stakeholders, translating customer problems and workflows into clear integration requirements and practical solutions.

Experience handling sensitive customer and candidate data using appropriate security, privacy, access-control, and data-retention practices.

Experience with staffing-focused platforms such as Bullhorn, Avionte, or JobDiva and their recruiting workflows.

Familiarity with job distribution, candidate intake, submissions, placements, assignments, starts, credentialing, and pay-and-bill data.

Experience integrating recruiting systems with AI screening, matching, interviewing, or candidate engagement products.

Experience defining normalized recruiting models across systems with significantly different schemas and workflow stages.

Experience with XML, feed generation, and XML-based recruiting or job distribution standards.

Familiarity with recruitment marketing attribution, funnel analytics, or operational KPI reporting.

Experience with data reconciliation, historical backfills, migration projects, or customer-specific data repair.

Experience building integrations through reporting interfaces, scheduled exports, SFTP, or other fallback mechanisms when APIs are incomplete.

Experience engineering and monitoring agentic workflows that interact reliably with systems lacking conventional integration interfaces.

Familiarity with data warehouses, analytics pipelines, or business intelligence systems.

Experience working in a small startup environment where engineers own ambiguous technical and customer problems end to end.

Location: Rutherford, NJ; This position will follow a hybrid work-from-home/office model with at least three days in the office weekly

Minimum of 2 years of function-related experience (preferred)

Bachelor's degree preferred

Strong knowledge of reefer, Dangerous Goods (DG), breakbulk shipments, and over-dimensional cargo

Familiarity with export rail processes and procedures

Solid understanding of U.S. Customs requirements and compliance

Strong data-driven analytical and problem-solving skills

Flexibility to work varied hours and shifts as operationally required

Proven ability to be an accountable, reliable, and collaborative team member

Strong cross-functional collaboration skills

Proactive approach to continuous process improvement

Excellent multitasking capabilities with the ability to prioritize workflows effectively

Exceptional verbal and written communication skills

High accuracy in data analysis and reporting

Strong cognitive flexibility and mental agility

Applies sound judgment, established procedures, and domain knowledge to daily decision-making

Ability to remain calm, make clear and reasoned decisions under pressure, and adapt to a fluid environment

Responds to internal and external customers in a clear, accurate, timely, and professional manner

Exceptional attention to detail and high accuracy

Strong solution-oriented and proactive mindset

Commitment to fact-based decision-making