Data Analyst

Recruiter:

EQ Plus

Job Ref:

GTG007855/KV

Date posted:

Wednesday, December 11, 2024

Location:

Johannesburg, South Africa

Salary:

800 000 Annually

SUMMARY:
An opportunity for a Data Analyst to engage with various business units and domain experts to understand the business problems and opportunities, elicit requirements, understanding of the business needs and translating these into tangible actionable deliverables. Taking a business need/question and analyze the data in such a way that it can be answered by answering a data question.

Responsibilities

Implement and maintain data analytics solutions in various analytics platforms including but not limited to Microsoft Power BI, SSRS, SAP BW Microsoft Azure Cloud environment.
Utilizing a data analytics development cycle to implement analytics solutions.
Attend to add-hoc data analytics / Reporting requests and tasks.
Identify opportunities to add value within the business that is delivered through data analytics solutions.
Knowledge sharing – ensure both the business understanding and the technical knowledge is shared within the team.
Ensure ongoing knowledge of industry standards as well as best practice and identify opportunities to enhance the internal processes.
Ensure reporting and analytics solutions meet the needs of the stakeholders.

CV to be sent to:teboho@eqplus.co.za

POSITION INFO:
Data visualizations & reporting:

Apply best practices when implementing reports and practical experience developing dashboards and dashboards.
Apply agreed to the agreed to standards and procedure as defined within the Data Management and Analytics Team

Qualifications

Degree in Mathematics, Statistics, Computer Science, and
Relevant data analytics or certifications such as: AWS, Microsoft Azure, Python, SAS etc.
5 years or more of hands-on work experience in data analytics.
At least 2 years of experience in engaging business on requirements and implementing Microsoft PowerBI dashboards. Experience with SQL and working with large-scale data sets
Experience in modelling business problems. Excellent problem solving and analytical skills. Experience in operationalising data analytics solutions

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