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Geospatial Data Operations Lead
hace 3 meses
Established in 1998, our organization has evolved significantly since its acquisition by a prominent analytics firm in 2016. We have since rebranded and enhanced our mapping products and services through advanced resources. Our company specializes in delivering insights into land and property through comprehensive analysis and visualization of geospatial data and imagery. We leverage our expertise in remote sensing and machine learning to serve various sectors, including insurance, construction, engineering, and urban planning.
Role Objective:
The Data Operations Manager plays a pivotal role in ensuring that our clients receive exceptional products. This position is integral to managing data workflows and leading a dedicated team of Data and Business Support Analysts, which is vital for the successful delivery of our data services while maintaining high standards of data integrity.
Key Responsibilities:
The primary focus of this role is to supervise data operations and lead a team of Geospatial Property Analysts.
The Data Operations Manager will be responsible for:
- Leading and mentoring a team of Geospatial Property Analysts to foster optimal performance and professional development.
- Designing and managing efficient data product delivery processes that meet quality benchmarks.
- Overseeing the creation and maintenance of ETL (Extract, Transform, Load) pipelines to support data integration and analysis.
- Conducting quality assurance checks on data pipelines and products to ensure accuracy, consistency, and reliability.
- Managing the implementation and ongoing administration of database technologies.
Qualifications:
Essential:
- 3-5 years of experience in managing data products and their delivery.
- Proven experience in leading and managing a team of data professionals.
- Strong background in data processes, particularly in developing and managing ETL pipelines.
- Extensive experience with database technologies, such as PostgreSQL or other RDBMS.
- Demonstrated expertise in quality assurance for data pipelines and products.
- Exceptional analytical skills to resolve complex data challenges.
- Strong communication abilities to engage effectively with both technical and non-technical stakeholders.
- Ability to prioritize and manage multiple projects simultaneously.
- Excellent organizational skills with a keen eye for detail.
Desired:
- A degree in a relevant field (e.g., Computer Science, Data Science, Geospatial Science).
- Familiarity with geospatial data and applications (e.g., ESRI, QGIS).
- Experience with data visualization tools and techniques.
- Knowledge of Agile software development methodologies.
- Proficiency in programming languages such as Python and SQL.
Additional Information:
Our organization is committed to fostering a diverse and inclusive workplace culture. We value learning, collaboration, and results, making inclusivity a top priority. We are recognized for our outstanding workplace culture and are dedicated to empowering our employees to achieve their career goals.