Data-Driven Operations Manager

Crossing Hurdles

United States

On-site

USD 65,000 - 90,000

Full time

5 days ago
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Job summary

Crossing Hurdles is seeking a data-driven professional to design and manage robust data workflows for annotation, collection, processing, and analysis. You will establish KPIs, analyze datasets, and present actionable recommendations that improve efficiency across teams.

Collaborate across functions to align data strategies with business goals and maintain comprehensive reporting on key metrics and workflow improvements.

Qualifications

  • 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 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 business objectives.
  • Develop and maintain 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 experience
Workflow optimization
Communication
Collaboration
Attention to detail
Learning agility

Job description

Crossing Hurdles is seeking a data-driven professional to design and manage robust data workflows for annotation, collection, processing, and analysis. You will establish KPIs, analyze datasets, and present actionable recommendations that improve efficiency across teams.

Collaborate across functions to align data strategies with business goals and maintain comprehensive reporting on key metrics and workflow improvements.

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