Data Management Services is a group of people that play a mediating and collaborating role between business and IT. This middle ground determines the caliber of person that would fit the role to be a strongly technical as well as business minded. Often this type of person is categorized as an intrapreneurial.
Primary responsibility is to support the Business and our Clients with data and insights using best practice Data Management techniques as outlined in the DMBoK. To achieve these outcomes, this will require that the candidate to have good interpersonal skills, to guide and make recommendations on best practice techniques to a strongly business minded audience.
Purpose of the role
Provide Business Insight to support the FNZ TA SA business. This is done by:
Using approved, state-of-the-art technology to build dashboards and data models.
Collaborating with our clients' data professionals to improve current products to increase usage.
Collaborating with wider audience to improve and develop our combined Data Management strategies.
Contributing to the development, documentation, and adoption of solutions for non-technical and technical audiences.
Competencies and experience
Personality and Attributes
Good communication skills (verbal and written)
Good interpersonal skills
Analytical thinking
Facilitation skills
Creative thinking
Strong problem-solving skills
Negotiation skills
Critical thinking
Skills and Experience
Knowledge of the Financial and Investment Industry.
Understanding of general business terminology.
Experience in engaging with stakeholders at all levels of business.
Able to present and communicate concepts and ideas clearly to an audience.
Drive to gather accurate and comprehensive information.
Able to collate and organise information.
Experience in information classification and taxonomy.
Able to interpret and simplify information.
Keen understanding of data terminology and principles.
Data Management and Business Intelligence
Provide data management services to external (Client related) and internal projects.
Provide input to data deliverables, conduct root cause analysis into anomalies & provide feedback to requesters.
Identify and recommend data management opportunities.
Identify and recommend new metrics, attributes, datasets to support business intelligence requirements.
Driving a Data-Driven approach to decisions.
Driving on a Right-Data at the Right-Time principle to Intelligence.
Technical competencies
Excellent digital literacy.
DMBoK v2
General MS Windows operating skills.
Good knowledge of the Office 365 suite of tools (Teams, Word, Excel, PowerPoint).
Solid knowledge of:
SQL (ANSI – preferably T-SQL)
Dimensional modeling (Kimble methodology)
RDBMS architecture
OLTP and OLAP concepts
Data integration concepts (ETL / ELT)
MS Data Platform.
Azure Data Platform is advantageous.
Educational Requirements (Educational / academic qualifications)
Matric essential.
Technical degree or diploma (in related industry) advantageous.
Formal business/technical analysis training advantageous.
Relevant data certifications advantageous.
About FNZ
FNZ is committed to opening up wealth so that everyone, everywhere can invest in their future on their terms. We know the foundation to do that already exists in the wealth management industry, but complexity holds firms back.
We created wealth's growth platform to help. We provide a global, end-to-end wealth management platform that integrates modern technology with business and investment operations. All in a regulated financial institution.
We partner with over 650 financial institutions and 12,000 wealth managers, with US$1.5 trillion in assets under administration (AUA).
Together with our customers, we help over 20 million people from all wealth segments to invest in their future.
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