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Data Analyst / Data Modeler

Exusia, Inc.

Johannesburg

On-site

ZAR 600 000 - 800 000

Full time

Today
Be an early applicant

Job summary

A leading digital transformation company is seeking a Senior Data Analyst in Johannesburg to deliver data-driven solutions. The successful candidate will have at least 4 years of experience in data analysis and modeling, strong SQL or Python skills, and an engineering degree. Responsibilities include creating data models, data profiling, and managing project priorities. Competitive salary offered.

Qualifications

  • Minimum 4 years experience as a Data Analyst and Data Modeler.
  • Strong SQL or Python skills for data analysis and profiling.
  • Azure certification relevant for Data Engineering/Analytics.

Responsibilities

  • Create logical and conceptual data models for business and functional users.
  • Implement star schema and relational models for databases.
  • Perform data profiling and cleaning to certify data.

Skills

Data Analysis
Data Modeling
SQL
Python
Data Visualization

Education

Master of Science or equivalent engineering degree

Tools

Erwin
Power BI
SQL Databases
NoSQL Databases
Job description
About The Position

Department: Sales and Delivery Team – Empower Industry: Information Technology & Services, Computer Software, Management Consulting. Experience Range: 4+ years. Basic Qualification: Masters/Bachelor of Engineering or equivalent. Exusia, a cutting‑edge digital transformation company, is looking for Senior Data Analysts who will work for our Banking & Financial Services clients focused on Data Engineering & Data Analytics projects.

What’s the Role?

Full‑time position working with Exusia’s global clients (Americas, Europe, Africa, Asia) to deliver data‑driven solutions by performing business and data analysis, data modelling, data mapping, and translating functional requirements into technical specifications.

Work with Client Product Owners & Business SMEs, Exusia Solution Architects, and Senior Application Designers/Developers.

Responsibilities
  • Create logical and conceptual data models for business and functional users.
  • Understand ER and dimensional modeling techniques like star, snowflake, or constellation.
  • Implement star schema and relational (normalized, including 3NF) models and physical data models for a variety of RDBMS and cloud‑hosted databases.
  • Capture data mapping, data transformation, and business rules logic using source‑to‑target mapping templates.
  • Perform data profiling and cleaning, validation, and testing to certify data.
  • Analyze requirements and produce technical specifications, source‑to‑target mapping, data and data models.
  • Interpret data, analyze results, and prepare data analysis reports.
  • Collect, analyze, and disseminate significant amounts of information to project team & business stakeholders.
  • Manage changing priorities during the software development lifecycle (SDLC).
Qualifications & Requirements
  • Minimum 4 years experience as a Data Analyst and Data Modeler.
  • Master of Science (preferably in Computer and Information Sciences or Business Information Technology) or equivalent engineering degree.
  • Experience working in an agile software delivery model.
  • Prior data modeling experience, preferably for DWH/Data marts.
  • Strong SQL or Python skills for data analysis and profiling.
  • Hands‑on experience with data modeling tools like Erwin, ER Studio, InfoSphere Data Architect (IDA).
  • Hands‑on exposure to SQL and NoSQL databases and ability to write pseudo‑code for ETL requirements.
  • Reporting/Visualization tool experience (e.g., Power BI).
  • Azure certification relevant for Data Engineering/Analytics.
  • Experience and knowledge of one or more domains within Banking and Financial Services.
Nice‑to‑Have Skills
  • Exposure to scrum master or product owner role.
  • Knowledge of data processing/ETL using Ab Initio / SAS / ADF / Azure Databricks.
  • Exposure to one or more Cloud platforms – AWS, Microsoft Azure, Google Cloud Platform.
  • Experience with Data Governance projects including metadata management, data dictionary, data glossary, data lineage, and data quality aspects.
About Exusia

Exusia is a global technology consulting company that empowers clients to gain a competitive edge by accelerating business objectives and providing strategy and solutions in data management and analytics. The company has established its leadership position by solving some of the world’s largest and most complex data problems in the financial, healthcare, telecommunications, and high‑technology industries.

Exusia’s mission is to transform the world through the innovative use of information.

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