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About careerzynith – Pioneering People‑Centric Data Solutions
careerzynith is a global leader in innovative transportation and energy solutions, and we recognize that the heart of every breakthrough is our people. Our Recruiting and People Operations teams rely on data‑driven insights to attract, hire, and retain top talent worldwide. As part of our commitment to building a diverse, inclusive, and high‑performing workforce, we are expanding our remote analytics capability. This role offers a unique opportunity to join a forward‑thinking organization that values curiosity, collaboration, and continuous improvement.
Why This Role Matters
Data is the lifeblood of the Recruiting function at careerzynith. By turning raw hiring metrics into actionable intelligence, we empower hiring managers, talent acquisition specialists, and senior leaders to make strategic decisions that shape the future of the company. As a Remote Data Analyst, you will be at the intersection of technology, people, and business strategy, helping to refine our talent pipelines, improve candidate experiences, and drive operational excellence across all hiring initiatives.
Role Overview
The Recruiting Analytics team sits within the broader Recruiting organization and serves as a strategic partner to multiple business units. In this entry‑level, work‑from‑home position, you will develop and maintain data models, create insightful reports, and collaborate with engineers to enhance our internal tools. Your work will directly influence how careerzynith identifies hiring trends, measures recruitment performance, and optimizes the applicant tracking system (ATS) for maximum efficiency.
Key Responsibilities
- Data Modeling & Quality Assurance: Design, build, and maintain robust data models that ensure data integrity, consistency, and accessibility for analysis.
- Reporting & Visualization: Develop dashboards and visual reports using Tableau, Power BI, or similar tools to communicate key performance indicators (KPIs) to both technical and non‑technical stakeholders.
- Data Collection & Analysis: Extract, transform, and load (ETL) data from internal recruiting platforms, identify patterns, and surface insights that drive actionable recommendations.
- Cross‑Functional Collaboration: Partner with engineering, product, and talent acquisition teams to prioritize feature enhancements, troubleshoot data gaps, and implement real‑time analytics solutions.
- Documentation & Knowledge Sharing: Produce clear, user‑friendly documentation for data pipelines, reporting processes, and analytical methodologies.
- Continuous Improvement: Participate in CI/CD workflows, automated testing, and iterative development cycles to ensure the reliability of analytics tools.
- Stakeholder Communication: Translate complex data findings into concise narratives for senior leadership, hiring managers, and external partners.
Essential Qualifications
- Bachelor’s degree in Data Analytics, Management Information Systems, Computer Science, or a related field.
- Demonstrated experience or academic projects involving full‑cycle recruiting data, talent acquisition metrics, or HR analytics.
- Proficiency in SQL and at least one modern query language (e.g., Python, R, or Scala).
- Hands‑on experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).
- Familiarity with CI/CD pipelines, version control (Git), and automated testing frameworks.
- Experience creating visualizations in Tableau, Power BI, or comparable platforms.
- Strong analytical mindset with the ability to identify trends, root causes, and opportunities for improvement.
- Excellent written and verbal communication skills, especially when presenting data to non‑technical audiences.
Preferred Qualifications
- Internship or work experience within a People Operations, Recruiting, or HR technology environment.
- Knowledge of applicant tracking systems (ATS) such as Greenhouse, Lever, or Workday.
- Exposure to cloud‑based data warehouses (e.g., Snowflake, BigQuery, Redshift).
- Understanding of data privacy regulations (GDPR, CCPA) as they pertain to employee and candidate data.
- Certification in data analytics or business intelligence (e.g., Tableau Desktop Specialist, Microsoft Certified: Data Analyst Associate).
Core Skills & Competencies
- Analytical Thinking: Ability to dissect complex datasets, spot anomalies, and generate meaningful insights.
- Problem‑Solving: Proactive approach to identifying gaps in data pipelines and proposing scalable solutions.
- Collaboration: Comfortable working in a remote, cross‑functional environment with engineers, product managers, and recruiters.
- Attention to Detail: Commitment to data accuracy, thorough testing, and meticulous documentation.
- Adaptability: Thrive in a fast‑moving, evolving landscape where priorities shift based on business needs.
- Customer‑Centric Mindset: Focus on delivering value to internal stakeholders and enhancing the candidate experience.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a Remote Data Analyst, you will have access to:
- Mentorship from senior data scientists and recruiting analytics leaders.
- Paid certifications and training programs in advanced analytics, machine learning, and data engineering.
- Opportunities to transition into senior analyst, data engineer, or product manager roles within the People Operations ecosystem.
- Cross‑departmental projects that broaden your exposure to supply chain, manufacturing, and customer experience analytics.
- Regular knowledge‑sharing sessions, hackathons, and internal conferences focused on data innovation.
Work Environment & Culture at careerzynith
Our remote workforce is built on trust, flexibility, and a shared purpose. careerzynith fosters an inclusive culture where every voice matters. Highlights of our work environment include:
- Fully Remote Flexibility: Work from anywhere in the United States, with a home‑office stipend to set up an ergonomic workspace.
- Collaborative Tools: Access to cutting‑edge collaboration platforms (Slack, Microsoft Teams, Confluence) to stay connected with teammates.
- Diversity & Inclusion: Employee resource groups, inclusive hiring practices, and a commitment to equitable growth.
- Well‑Being Programs: Mental‑health resources, virtual fitness classes, and a robust employee assistance program.
- Innovation Culture: Encouragement to experiment, share ideas, and contribute to open‑source projects that advance the recruiting analytics field.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly rate of $30‑$40 per hour, reflecting the value we place on analytical talent. In addition to base compensation, full‑time employees enjoy a comprehensive benefits package that begins on day one, including:
- Medical, dental, and vision coverage with multiple plan options and zero payroll deductions for many plans.
- Health Savings Account (HSA) contributions for high‑deductible medical plans.
- Flexible Spending Accounts (FSA) for healthcare and dependent care.
- Family‑building benefits such as fertility, adoption, and surrogacy assistance.
- 401(k) plan with company match, Employee Stock Purchase Plan (ESPP), and other financial incentives.
- Life, AD&D, short‑term and long‑term disability insurance at no cost to the employee.
- Employee Assistance Program (EAP) for counseling and support services.
- Generous paid time off, flexible holidays, and sick leave.
- Backup childcare and parenting resources.
- Voluntary benefits including critical illness, accident, legal, and pet insurance.
- Wellness programs such as weight‑loss, tobacco‑cessation, and mental‑wellness initiatives.
- careerzynith Babies program supporting new parents.
- Commuter benefits and discounts on a wide range of products and services.
How to Apply
If you are passionate about turning data into strategic advantage and want to grow your career within a dynamic, remote‑first environment, we want to hear from you. Please submit your resume, a brief cover letter outlining your interest in recruiting analytics, and any relevant portfolio items (e.g., dashboards, data models) through the link below.
Apply Now – Join careerzynith!
Closing Statement
careerzynith is committed to building a workforce that reflects the diversity of the communities we serve. We encourage candidates of all backgrounds, experiences, and abilities to apply. Your unique perspective will help us continue to innovate, attract top talent, and drive the future of sustainable mobility. Take the next step in your career and become a vital part of careerzynith’s data‑powered recruiting journey.
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