Requirements

● Degree in Computer Science, Statistics, Informatics, Information Systems, Business
Administration, or another quantitative field experience.
● Strong Experience of Business Intelligence tools utilization including Hyperion, SAS,
Tableau, and/or Microsoft PowerBI. PowerBi is a must
● Advanced working SQL/PLSQL knowledge and experience working with relational
databases, query authoring (SQL) as well as working familiarity with a variety of
databases structures (Hadoop, MongoDB, dimensional designed solutions, and
structures)
● Experience with ETL tools, experience with ADF is highly desired
● High level analytical research, statistical, and problem-solving skills to analyze data for
trends and patterns, and interpret data with a clear objective in mind
● Experience building and optimizing data pipelines, architectures, and data sets
● Experience performing root cause analysis on internal and external data and processes
to answer specific business questions and identify opportunities for improvement
● Strong analytic skills related to working with unstructured datasets and recommending
transformations to optimal architectures
● Cloud-based data storage and data pipeline solutions
● Experience with Azure Cloud Services
● Experience with object-oriented/object function scripting languages: Python, Java is a
PLUS

About Our Client:

Our client is a solutions firm that builds and manages expert teams in technology and finance &
accounting. We deliver on our client's objectives by combining a global knowledge force with
flexible delivery and an unmatched drive for excellence..