Data Professional - Johannesburg, South Africa - IQbusiness South Africa

IQbusiness South Africa

Verified Company

Johannesburg, South Africa

4 weeks ago

Posted by:

Thabo Mthembu

beBee Recruiter

Description

Are you passionate about using data to solve problems?

Who we are:

We are a specialist team within the Solutions and Insights Business Group of IQbusiness. We exist to grow individuals within our team to achieve their professional goals.

In doing so, we assist our clients in their growth journey with our sustained energy and enthusiasm derived from our dynamic and cohesive team.

We provide efficient and novel Data Solutions to our clients uplifting their business and enriching our team.

What we want:

We are looking for a
Data Professional to join our dynamic and diverse team of Data Specialists.

If you meet some or all the below requirements, then you may have a certain set of skills which we require.

Data Governance:

Do you understand the information flow for organizations, including the integrity, efficiency, and availability of data?

Data Analysis - Can you turn data into information and information into insight that will lead to informed business decisions?

Data Modeller - Could you design and maintain optimal data models at both an enterprise and system level that meet the business and architectural objectives of the organisation?

Cloud Data Engineering - Are you able to work behind the scenes to obtain, process and supply data via various methodologies and technologies, to various consumers, in ways and forms that makes sense and adds value?

Do you have a broad understanding of Data Management (DMBOK)?

Personal competencies that we are looking for:

The ability to solve problems.
The ability to rotate around a problem, to see if solutions can be gained in different ways.
The ability to work in an ever changing, unstructured environment.
The ability to work as part of a team, with vastly differing skill sets and opinions.
The ability to contribute ideas to the quorum.
The ability to mentor and provide guidance for other team members.
A systems approach to thinking, as opposed to a siloed approach. You need to understand how your work affects the greater system.
The ability to work without supervision and take accountability for the work you deliver.
The ability to liaise with clients, the ability to ignore extraneous data and extracting the core requirements.

RESPONSIBILITIES:

As a Data Governance Analyst**:

Developing and implementing data standards, guaranteeing metadata is captured correctly, and creating methods for monitoring and reporting any data incidents.
Create and maintain common data dictionaries/business glossaries and the tools or methods that support data standards for an organization.
Analyse and oversee strategies designed to enhance data reliability and minimize redundancies.
Work with other information technology personnel to develop data quality standards.
Create key performance indicators and supply colleagues and organizational management with performance results.
Assist with data monitoring and provide organizational management with guidance on streamlining data management.
Implement procedures and policies for data management in an organization, assisting colleagues in performing datarelated tasks, and networking with clients.

As a Data Analyst:

Interpret data, analyse results and interpret trends enabling continuous improvement in data quality and overall business performance
Create detailed specifications that specify data sources, data flows, data transformations, data storage and reporting
Produce documentation such as sourcetotargetmaps, data dictionaries and data models
Create test cases and scenarios used to ensure quality assurance
Interact and collaborate with technical and business stakeholders to identify data sources, find data definitions for master and metadata as well as formulate and implement solutions
Promote the use of existing enterprise and divisional data standards to enhance data quality, ensure constant compliance and adherence to data governance principles
Promote reusability, maintainability, reliability, and scalability in design and development of data solutions
Process live and confidential data according to specified guidelines
Evaluate changes and updates to source production systems that could impact reporting and eventually business decisions

As a Data Modeller:

Modelling data changes required by new features or regulatory needs
Contribution in filling any gaps in the wider enterprise models
Ensuring that the data model is aligned to the wider enterprise models, raising issues for any exceptions
Collaborating with the business analysts, product teams and architects to build data flow and develop conceptual models
Perform reverse engineering of physical data models
Identify opportunities to improve business
Provide Data Management guidance and alignment to the Data Management framework and standards
Collate dataflow diagrams outlining the flow of data across systems and interfaces
Support the achievement of the