Job Description
Description
Apply emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
Designing and implementing data structures to support Big Data, Analytical models and traditional BI/DW reporting solutions using technologies such as Microsoft SQL, Oracle, SAP, Cloudera, IBM Watsons, MuleSoft, Qlik Technologies or Informatica.
Designing and developing data integration using Data Governance, Data Quality, MDM and Metadata management.
Applying analytical models to predict business outcomes with tools such as DataRobot and languages like Python or R.
You will be part of a collaborative team that provides our clients with solutions that are practical as well as visionary and have an impact from the back office to the boardroom.
Demonstrated experience across a broad range of industries such as Energy and Resources, Public Sector, Financial Services, Life Sciences and Health Care, Consumer Business, Manufacturing, Telecommunications or Consumer Business.
Ability to link industry specific business requirements to BI, Analytics and Big Data solutions.
Ability to recommend BI/DW/Analytics processes, governance, organisational and platform models, tool selections, and data integration options to clients.
Project experience through all phases of the project lifecycle from strategy and advisory, scoping and planning, requirements gathering, design, development, testing, training and deployment.
