Human Data Manager, New Grad
micro1 · NAMER
- Hybrid
- Full-time
- $75,000 / year
- NAMER
Job highlights
- Manage data workflows for annotation and processing.
- Optimize operations using KPIs and data analysis.
- Collaborate on data strategies with business goals.
- Refine processes for scalability and data integrity.
- Recent grads make an impact from day one.
About the role
Human Data Manager, New Grad
Join our team as a Human Data Manager and drive operational excellence at the intersection of data, technology, and business process optimization. This is a unique opportunity for ambitious recent graduates with a technical mindset and a hunger for rapid career growth, to make a tangible impact from day one.
Key Responsibilities
- Design, build, and manage robust data workflows for accurate annotation, collection, processing, and analysis.
- Establish and monitor KPIs to optimize operational performance and drive data-driven decision-making.
- Analyze datasets to uncover actionable insights and present recommendations that accelerate efficiency.
- Collaborate cross-functionally to align data strategies with overarching business objectives.
- Develop and maintain comprehensive reporting frameworks tracking key metrics and workflow improvements.
- Continuously refine processes to ensure scalability, maintain data integrity, and uphold quality standards.
- Demonstrate ownership and a proactive, hands-on approach to identifying and solving operational challenges.
Required Skills and Qualifications
- Recent Bachelor’s or Master’s graduate in Computer Science, Data Analytics, Industrial Engineering, Operations Management, Economics, Finance or other related fields.
- Technical aptitude with demonstrated experience in data analysis, annotation, or workflow optimization.
- Familiarity with operational processes and a passion for increasing efficiency.
- Ability to interpret and communicate data-driven insights clearly and persuasively, both in writing and verbally.
- Strong drive to learn, thrive under pressure, and a willingness to work hard in a fast-paced environment.
- Excellent collaboration skills and attention to detail in managing data quality and validation.
Preferred Qualifications
- Background in engineering or technical fields with operational focus or human data projects.
- Experience with data visualization tools (such as Excel, Tableau, Power BI) or programming languages (such as Python, SQL).
- Internship or project-based experience in data management, AI/ML, or process optimization.
Regional Hiring Notes
This role is being hired in parallel across multiple regions due to coverage needs, compliance requirements, and time-zone alignment. Responsibilities and expectations are identical; employment terms vary by region.
Key skills/competency
- Data Management
- Workflow Optimization
- Data Analysis
- KPI Monitoring
- Process Refinement
- Data Integrity
- Problem Solving
- Collaboration
- Data Visualization
- AI/ML
Skills & topics
- Human Data Manager
- Data Management
- New Grad
- Remote
- Data Analysis
- Workflow Optimization
- KPIs
- Process Improvement
- Data Annotation
- Computer Science
- Data Analytics
- Industrial Engineering
- Operations Management
- Python
- SQL
- Tableau
- Power BI
- AI/ML
How to get hired
- Tailor your resume: Highlight data management, workflow optimization, and analytical skills.
- Showcase technical aptitude: Emphasize experience with data analysis, annotation, or relevant tools.
- Demonstrate problem-solving: Provide examples of identifying and resolving operational challenges.
- Express passion for growth: Convey your drive to learn and succeed in a fast-paced environment.
- Network strategically: Connect with micro1 employees on LinkedIn to gain insights.
Technical preparation
Practice data analysis and workflow design.,Familiarize with data visualization tools.,Gain basic Python or SQL knowledge.,Understand operational process principles.
Behavioral questions
Describe a time you improved a process.,How do you handle pressure and deadlines?,Share an example of meticulous data handling.,How do you collaborate with others?
Frequently asked questions
- What does a Human Data Manager at micro1 do?
- As a Human Data Manager at micro1, you will design and manage data workflows, optimize operational performance using KPIs, analyze datasets for insights, and collaborate cross-functionally to align data strategies with business objectives. This role focuses on driving efficiency and maintaining data integrity in a fast-paced environment.
- What qualifications are essential for the Human Data Manager role at micro1?
- Essential qualifications for the Human Data Manager at micro1 include a recent Bachelor's or Master's degree in a related technical or analytical field, demonstrated technical aptitude in data analysis or workflow optimization, familiarity with operational processes, strong communication skills, and a proactive attitude towards learning and problem-solving.
- Is the Human Data Manager position at micro1 remote?
- Yes, the Human Data Manager position at micro1 is a remote role, offering flexibility in location while emphasizing the need for collaboration and impactful contributions.
- What kind of career growth can I expect as a New Grad Human Data Manager at micro1?
- micro1 offers ambitious recent graduates a unique opportunity for rapid career growth in the Human Data Manager role. You'll make a tangible impact from day one, working at the intersection of data, technology, and business process optimization, which provides a strong foundation for advancement.
- What technical skills are preferred for the Human Data Manager role at micro1?
- Preferred technical skills for the Human Data Manager role at micro1 include experience with data visualization tools like Tableau or Power BI, and proficiency in programming languages such as Python or SQL. Prior internship or project experience in data management, AI/ML, or process optimization is also beneficial.
- How does micro1 ensure data quality in the Human Data Manager role?
- The Human Data Manager at micro1 is responsible for ensuring data integrity and upholding quality standards through continuous process refinement and meticulous attention to detail in data validation and management.