Incorta is a next-generation data analytics and business intelligence platform that excels at rapidly delivering business value from transactional data, this is the first real breakthrough in data analytics in 20 years. We provide an integrated end-to-end data experience, from data acquisition and enrichment to visualizing and sharing results. Our platform cuts project implementation time from months to weeks provides revolutionary query speed and maintains a unified, single source of truth for multiple workloads including business intelligence, analytics, and machine learning. Fully 90% of companies that try Incorta become customers, and over 98% of our customers are still with us. Our cloud-based service widens our reach into businesses of all sizes. There is simply no other analytics solution that is as cost-effective, agile, and impactful.
YOU WILL
Implement the Incorta platform against complex project requirements
Learn the features and best practices around the Incorta platform
Teach customers and colleagues how to employ the Incorta platform against a variety of use cases
Help define level of effort and scope for Incorta implementation work
Write technical design documents to capture the technical details of the customer implementation work delivered
Work and communicate effectively in a cross-team environment involving the customer, partners, and other Incorta employees
Report to Solution Engineer Lead
YOU HAVE
3+ years of work experience implementing analytics or BI software products
Experience with at least one common data platform (Oracle, MySQL, SQL Server, Redshift, S3, etc.)
Familiarity with SQL language and Linux server administration
Experience with data modeling
Familiarity with cloud-based applications and architectures running in Google Cloud, Azure, or AWS
Willingness to embrace and thrive in a rapidly changing work environment
NICE TO HAVE
Experience with Oracle EBS, Oracle Fusion, SAP, Salesforce, or Netsuite
Familiarity with advanced analytics languages & platforms such as Python, scala, R, SAS, and Spark.
