Data Analyst

Ignition Group; KwaZulu-Natal; On-site; ZAR 300,000 - 500,000; Full time

Job summary

A leading company is seeking a Data Analyst to identify and solve problems through analytics and statistical models. The role involves interpreting data, conducting quantitative analysis, and supporting the data analytics lifecycle, including data collection, preparation, and visualization. Ideal candidates will have strong analytical skills and a background in programming and statistics.

Qualifications

• Experience in data analytics and statistical modeling.
• Familiarity with data mining techniques.
• Ability to communicate complex data insights effectively.

Responsibilities

• Interpret data to answer business questions.
• Conduct quantitative analysis to solve problems.
• Support the data analytics lifecycle from collection to visualization.

Skills

Data Interpretation

Problem Solving

Data Analysis

Data Visualization

Statistical Techniques

Programming

Job description

Job Description: Data Analyst

This role involves identifying and solving problems through analytics and statistical models, utilizing data analytics, programming, and statistical techniques. The position requires working under guidance to use diverse data sources for specific data-related tasks.

Key Roles and Responsibilities

1. Data Interpretation and Problem Solving

• Interpret a wide range of data to answer specific business questions.
• Assist in solving problems by conducting quantitative analysis.
• Support the implementation of the data analytics lifecycle: identify, collect, clean, analyze, interpret, and visualize data.

Data Collection and Preparation

• Understand end-user requirements to gather necessary data.
• Utilize automated tools to extract data from primary and secondary sources.
• Clean, organize, and prepare data for analysis.
• Verify data quality to ensure accurate reporting.
• Identify gaps and assist in building datasets from scratch.
• Remove corrupted data and correct coding errors.
• Update databases to reflect system or business data changes.

Data Analysis and Insights

• Analyze data to identify patterns, trends, and forecast future outcomes.
• Apply data mining techniques and statistics to uncover insights and actionable recommendations.
• Translate complex data into understandable insights and communicate findings effectively.
• Focus on exploration and problem-solving.

Data Visualization and Technology Awareness

• Assist in creating visualizations such as dashboards and graphs.
• Stay updated on technological developments like cloud computing, machine learning, and artificial intelligence.