Description
Provide business intelligence support for data
operations for the David Geffen School of Medicine at UCLA, including the
design, testing,
implementation and documentation of data analytics
projects. Gather business requirements, translate them into technical
specifications and
formulate strategies for report curation, working
with multiple business divisions. Participate in data warehouse design, data
lineage documentation, and cube creation for data consumption layer development,
working with peers within the Data Operations team. Perform designing,
programming, and UAT to deploy data models and analytics, working with end
users. Work with departments to identify their data needs and work with team
members in Data Operations to create business data analytics deliverables.
Create dashboards, reports, and
SSRS, SAS, and R.
The employer offers hybrid work-from-home with 10% employment at the job site.
Salary Range: $107,120 - $202,200 annually
Qualifications
Required:
Bachelor's degree in Information system, information
management, computer science or a related field. Five years of experience in
job offered or as a business intelligence analyst or a related occupational
title.
of years of experience for each skill can be gained concurrently together, as
well as concurrently with the number of years of required experience.Three years of demonstrated experience
working in academic environment managing academic financial data and BI
analytics. Three years of experience implementing data warehousing methodologies
using relational database management system software (RDBMS) including MSSQL, Oracle
DB, and Azure. Three years of experience
working with relational database and data modeling techniques including
multi-dimensional and tabular data cube designs. Three years of experience
utilizing business intelligence tools including Tableau, Power BI, SAS, R and
SRSS. Three years of demonstrated experience and knowledge of programing
languages including SQL, MDX, DAX, SAS, R, and Python. Three years of
demonstrated experience performing academic or financial data reporting.
The following skills
does not require a set period of time as demonstration of proficiency.
Demonstrated experience utilizing R and SAS to create statistical models.
Experience serving as subject matter expert on data visualization and best
practices in BI reporting while providing support to other BI developers.
Demonstrated ability to effectively communicate in written and oral
communications.
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