302 Data Analyst jobs in Bergenfield,NJ

$120000 - $145000 USD per year

Base salary range: $120,000 – $145,000, depending on experience

Meaningful stock options

Competitive salary, meaningful stock options

Full benefits (Health, Dental, Vision)

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.

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

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

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.

$145,000 – $175,000 per year

Day Shift

Hours per week: 40

Master's Degree in Public Health, Health Administration, Health Informatics, Data Analytics, Business, or a closely related field

Advanced healthcare analytics experience involving clinical, operational, and financial datasets

Strong proficiency with SQL, Microsoft Excel, Tableau, Power BI, or similar analytics platforms

Experience with EHR systems and practice management reporting

Clinical background with advanced degree and/or licensure (MD, DO, NP, PA, RN, LCSW, or equivalent)

Clinical licensure preferred

EPIC experience strongly preferred