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Senior Data Analyst – Bryanston needed at Experian

Job title : Senior Data Analyst – Bryanston

Job Location : Gauteng, Johannesburg

Deadline : April 05, 2024

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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 real-world 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).
  • Problem-solving 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 pre-processing of structured and unstructured data.
  • Analyse large amounts of information to discover trends and patterns.
  • Build predictive models and machine-learning algorithms.
  • Provide rapid feedback and insight on ad-hoc requests.
  • Present information using data visualization techniques.
  • Propose solutions and strategies to business challenges.
  • Collaborate with client and product development teams.
  • Undertaking data collection, pre-processing, 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.

How to Apply for this Offer

Interested and Qualified candidates should Click here to Apply Now

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