· Design, implement, and support a platform providing secured access to large datasets.
·
Interface with tax, finance and accounting
customers, gathering requirements and delivering complete BI solutions.
·
Model data and metadata to support ad-hoc and
pre-built reporting.
·
Own the design, development, and maintenance of
ongoing metrics, reports, analyses, dashboards, etc. to drive key business
decisions.
·
Recognize and adopt best practices in reporting
and analysis: data integrity, test design, analysis, validation, and
documentation.
·
Tune application and query performance using
profiling tools and SQL.
·
Analyze and solve problems at their root,
stepping back to understand the broader context.
·
Learn and understand a broad range of data resources and know when, how, and which to use and which not to use.
·
Keep up to date with advances in big data
technologies and run pilots to design the data architecture to scale with the
increased data volume using AWS.
·
Continually improve ongoing reporting and
analysis processes, automating or simplifying self-service support for
datasets.
·
Triage many possible courses of action in a
high-ambiguity environment, making use of both quantitative analysis and
business judgment.