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Business Intel Engineer II, GS S&O
hace 4 meses
This role support and focuses on our GSPI internal (Finance, Field Operations, Leadership, Product and Program management, etc) and external (Global Services Business Units: ProServe, Training and Certification, Support, other BI teams, etc) stakeholders. Our data products help our customers make critical business decisions that impact revenue and pipeline generation across all industries. This role will also support the conception and build of forecasting models to predict partner staffing, pipeline forecasting, recommendations engine, as well as, existing QuickSight dashboards.
Key job responsibilities
* Interface with stakeholders and business partners to gather data and metrics requirements, translate them into technical specifications and drive analytics projects.
* Develop reporting, analytics and decision support to enable the GSPI organization leaders and teams to create accountability and mechanisms for operational management.
* Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
* Think creatively - we want someone that will extract insights and provide business recommendations.
* Own and maintain on-going analytics tools, BI models and visualizations to increase visibility into key measures of business performance.
* Mine data from database tables (Redshift, Oracle, MySQL, Data Warehouse), manage ETL processes and develop creative BI solutions to support ad hoc requests.
* Design data pipelines where needed for the present and to anticipate future business requirements/insights.
* Actively share knowledge and mentor, at a basic level, new BIE’s (or new to the business) if and where needed.
We are open to hiring candidates to work out of one of the following locations:
San Francisco De Heredia, CRI
BASIC QUALIFICATIONS
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
- Experience writing complex SQL queries
PREFERRED QUALIFICATIONS
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience with data modeling, warehousing and building ETL pipelines