Business Intel Engineer Ii, Ww Ops Finance S&A

DESCRIPTION The World Wide OPS Finance S&A (Standardize & Automate) team is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer (BIE) to join the team.
The role will require an end-to-end understanding of data and reporting; this role requires an individual with excellent analytical abilities as well as outstanding business acumen.
The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoying working with large data sets. The successful candidate will be also an expert on creating advanced dashboards, connecting data sources through APIs, outstanding SQL skills and also passionate about presenting data in a very nice and easy-to-digest way.
In addition to Arlington, VA, this role can be located in:
- Dallas, TX
- Seattle/Bellevue, WA
- Nashville, TN
- New York, NY
Key job responsibilities
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
- Ensure data accuracy by validating data for new and existing tools.
- Combine knowledge of statistical methodology and analysis with programming skills to support complex analyses.
- Collaborate on the design, development, maintenance, and delivery/presentation of forecasting models, metrics, reports, analyses, tools, and dashboards.
- Respond to a variety of on-demand ad-hoc analytical requests as needed.
- Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.
We are open to hiring candidates to work out of one of the following locations:
Arlington, VA, USA | Bellevue, WA, USA | Dallas, TX, USA | Nashville, TN, USA | New York, NY, USA BASIC QUALIFICATIONS - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience in the data/BI space
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Knowledge of SQL and data warehousing concepts
- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)