Deliver functional and technical specs for next generation Analytics and Reporting in the field of Treasury (Corporate) supported by our internal .Net/Java developers globally and Professional Services consultants, ensuring customer design requirements are well defined with clients in bringing analytics and reporting solutions to life.
Build analytical applications and reports in platforms such as Qlik Sense, and SAP Analytics Cloud, both for internal needs and for clients.
Work with senior developers and BI analytical experts in our Lab to develop customise or build new BI analytical visualisations for clients e.g. custom visualisation extensions that can be used in platforms like Qlik Sense using JS D3 or Picasso JS libraries.
Assist in documenting help content around BI analytics and reports for clients, as well as internal BI, in tools such as Zendesk.
Develop BI use cases to help our customers discover new ways of applying BI analytics and reporting in the Corporate Treasury space.
Build data models and relational database models in RDBMS and in-memory platforms such as SAP HANA, SQL, PostGres and Teradata.
Experience as a Senior Business Intelligence Consultant having built analytics and reporting apps in platforms such QlikView/Qlik Sense/SAP Analytics Cloud/Tableau.
Proven strong understanding of data modelling and relational database management, including SQL view/procedure queries in platforms like SQL Server, Oracle or PostGres.
Ability to work with in-memory database and big data environments such as SQL Server, Teradata or SAP HANA to enhance real-time performance and retrieval of data.
Understanding of scheduled integration/ETL/transformation tools and processes and consolidating data from multiple sources, transforming data.
Strong communication skills and experience in having worked within an existing BI analytics or BI development practice is important.
Ability to adapt to client demands and prioritise tasks to ensure timeous delivery.
Cloud BI background or experience in deploying BI within SaaS environments such as Qlik, SAP Analytics Cloud and Tableau.
Background in Finance or Banking is preferable. MS/BS degree in Finance, Computer Science, Engineering is advantageous.
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