KCI Technologies, Inc. is looking to solve business and technical problems by developing analytics solutions that balance operational priorities and efficiency, creating a seamless experience for users through analytic platforms and data governance strategies, and identifying and troubleshooting complex data problems.
Requirements
- Experience with data extraction, Safe Software FME, Python, SQL, Power Query, APIs, and ETL/data engineering tools and query languages required.
- Proficiency with Esri cloud, desktop, web, and mobile product lines, with the ability to integrate spatial analysis into other platforms preferred.
- Knowledgeable of data analysis methods and techniques
- Experience with current data and analytics platforms and tools
- Ability to work independently and produce high-quality deliverables without excessive oversight and instruction
- Design and implement scalable ETL solutions that integrate with and utilize APIs, Python scripts, and modern data management platforms.
- Stay current on the latest technologies, data engineering approaches, and integration methods.
Responsibilities
- Utilize analytic platforms and data governance strategies to create a seamless experience for users.
- Perform modeling and analysis of structured and unstructured datasets to develop metrics, reports, visualizations of trends and patterns, and predictive analytics.
- Develop and implement efficient data collection strategies.
- Perform required data cleaning and manipulation before analyses
- Automate the collection and analysis of large data sets from customer systems and third-party services.
- Lead end-to-end ETL processes, including requirements gathering, data acquisition, business process analysis, transformation, and integration across multiple domains and enterprise solutions.
- Leverage Safe Software FME and related tools to design, automate, and optimize workflows for data transformation, validation, and delivery.
Other
- Understand and contextualize business processes to develop analytics solutions that balance operational priorities and efficiency.
- Work closely with stakeholders to define key metrics, develop scalable dashboards, and effectively communicate progress.
- Gather and confirm user requirements for various analytics projects.
- Interact with stakeholders to create and leverage business intelligence capabilities in support of business objectives.
- Regularly interact and build relationships with senior management, customers, and business partners.
