Senior Data Analyst

1 month ago

Gauteng Johannesburg, South Africa Experian Full time
Experian’s job vacancy, Career and Recruitment

Job title : Senior Data Analyst – Bryanston jobs in Gauteng

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.

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*Senior Data Analyst – Bryanston in Johannesburg

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