Data Operations Analyst | Remote

Crossing Hurdles; United States; On-site; USD 55,000 - 85,000; Full time

Job summary

Crossing Hurdles is seeking a recently graduated data analyst to help design, build, and manage data workflows for annotation, collection, processing, and analysis. You will work closely with teams to ensure data integrity and scalable processes.

In this entry-level role, you will establish KPIs, analyze datasets, and present data-driven recommendations to accelerate efficiency. Strong communication and collaboration skills are essential in a fast-paced environment.

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.

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.

Skills

Data analysis

Annotation

Workflow optimization

Communication

Collaboration

Education

Bachelor's or Master's in Computer Science, Data Analytics, Industrial Engineering, Operations Management, Economics, Finance or related fields

Job description

• 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.

Requirements

• 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.