Overview
Are you eager to apply your data and analytics experience to make it easier for others to visualize and model data content across the ArcGIS platform? This is a great opportunity to contribute to Esri's initiatives to create innovative, global content to address needs and challenges across many business sectors. In this role, you'll help build our evolving data strategy and shape the design of our next generation data content for ArcGIS products and services.
Responsibilities
- Apply creative data analytical approaches to create new derivative and transformative works using AI and other technologies
- Identify data relationships, trends, and anomalies and develop robust, well-documented scripting workflows to automate data ingestion and transformation
- Design quality assurance procedures and automated tests to ensure quality of data deliverables
- Coordinate across teams working with data to identify process gaps and continually improve operational efficiency of data pipelines
- Serve as a data subject matter expert and point of contact to other Esri internal teams; create customer-facing blogs and technical resources
- Design, build, and deploy data transformation, automation and reporting solutions (such as reports, dashboards, visualizations) that provide insight to decision makers
- Assist development teams with integration of data into existing and new software capabilities prior to public release
- Support and interact with existing customers (internal and external) to improve the value, relevance, and applicability of data content to existing and future ArcGIS users
- Engage with product management to address customer needs and plan new data offerings for the ArcGIS platform
- Follow the evolution of AI, analytics and spatial data science to maintain best practices and domain knowledge with fast-evolving technologies
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Requirements
- 1+ years of related analysis and spatial data science experience; knowledge of advanced AI and data analysis, data structures, data analysis, visualization, QA and location analytics
- Self-starter with effective time management and organizational skills; ability to effectively prioritize and execute tasks working within software release deadlines
- Attention to detail and results-oriented
- Understanding of data analytics, conflation, QA and management best practices; proven experience working with AI and Python notebooks, cloud processing tools and very large data
- Able to compose complex analysis and data processing queries and comfortable using ArcGIS Pro/ArcGIS Notebook with Python, R and other packages
- Highly experienced using the ArcGIS platform or other geospatial technology for spatial analysis
- Excellent written, communication, and presentation skills; experienced in communicating complex business workflows to non-technical audiences
- Ability to think critically about business challenges and willing to ask questions
- Bachelor's in GIS, computer/data science, AI or related field
Recommended Qualifications
- Master's in GIS, computer/data science, AI or related field
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Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$68,640 - $98,592 USD
About Esri
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
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