Data Analyst

2 weeks ago

Johannesburg, Gauteng, South Africa Experian Full time
Full-time

Employee Status:
Regular

Role Type:
Hybrid

Department:
Data Management

Schedule:
Full Time

Company Description:

Experian plc is an Anglo-Irish multinational consumer credit reporting company.


Experian collects and aggregates information on over 1 billion people and businesses, including 235 million individual US consumers and more than 25 million US businesses.

We operate in 37 countries with offices in the United Kingdom, the United States and Brazil.

We employ approximately 17,000 colleagues, and last fiscal year, our year-end revenue was US$5.18 billion.

Our product proposition covers credit services, Decision Analytics and marketing assistance to businesses, including individual fingerprinting and targeting.

Qualifications:


BSc/BA in Computer Science math, software engineering, statistics, data science or a related technical field with 3 to 5 years of work experience.

Microsoft SQL certification.

Functional

  • Proven experience as a Data Scientist or Data Analyst.
  • Experience in data warehousing, ETL processes, data mining and data modelling.
  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their realworld advantages/drawbacks.
  • Knowledge of Microsoft SQL Server, T-SQL, Azure and Python.
  • Proficiency in data visualization tools (e.g., Power BI, Tableau).
  • Analytical mind and business acumen.
  • Strong math skills (e.g., statistics, algorithms).
  • Problemsolving aptitude.
  • Excellent communication and presentation skills.
  • Ability to work independently and with team members from different backgrounds.
  • Excellent attention to detail.
  • A drive to learn and master new technologies and techniques.
  • Working with large datasets and moving of files between different environments.
  • Import and Export data from different database technologies.
  • Process automation and monitoring.
  • Code migration from legacy languages and systems.
  • Data Cleansing
  • Data profiling
  • Excellent team player and collaboration skills.
  • Ability to prioritize and manage multiple tasks and projects simultaneously.

Technical
Experienced and knowledgeable in the use of tools and techniques such as

  • Microsoft SQL Server
  • T-SQL
  • Azure Data Platform Stack
  • Azure Data Lakes/Blob
  • Azure HDInsight (Apache Spark)
  • Azure Databricks
  • Python
  • PL/pgSQL
  • Statistics

Additional Information:

Principle responsibilities

  • Identify valuable data sources and automate collection, loading and transforming processes.
  • Developing and maintaining databases, data systems, and data pipelines.
  • Efficient Data Engineering (ETL).
  • Data investigations and anomaly detection in data.
  • Manage scheduled client and business processes and deliverables.
  • Undertake preprocessing of structured and unstructured data.
  • Analyse large amounts of information to discover trends and patterns.
  • Build predictive models and machinelearning algorithms.
  • Provide rapid feedback and insight on adhoc requests.
  • Present information using data visualization techniques.
  • Propose solutions and strategies to business challenges.
  • Collaborate with client and product development teams.
  • Undertaking data collection, preprocessing, and analysis.
  • Building models to address business problems.
  • Code migration from legacy languages.
  • Creating reports and presentations for business uses.
  • Correlating similar data to find actionable results.
  • Managing and administrating monthly business processes.
  • Client and business communication.
Experian Careers - Creating a better tomorrow together

Experian Careers - Creating a better tomorrow together

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