1. Data Analysis: Analysing and interpreting complex data using statistical methods and tools to uncover Developing scripts and code in SQL to automate data analysis and streamline workflows. 9. Microsoft Azure
will have a strong background in data science, data analysis, or data engineering, with extensive experience leverage your expertise in data visualisation, data analysis, and data engineering to create solutions that Experience: Minimum of 5 years in a data science, data analysis, or similar role Data Visualization: Proficient
a Product Owner you will be responsible for data analysis, integration and sharing products to local government proficiency and understanding of data principles. Data analysis and visualisation skills would be an advantage
catalogue to align to new career architecture Data mapping, analysis, reconciling data outliers Completing data relevant experience as a business analyst Strong data analysis experience System Documentation experience Data
catalogue to align to new career architecture Data mapping, analysis, reconciling data outliers Completing data relevant experience as a business analyst Strong data analysis experience System Documentation experience Data
Junior Industrial Engineer with a passion for data analysis and a keen interest in understanding and improving and reporting purposes. Data Analysis & Reporting • Utilise data analysis tools and methodologies
extensive data from internal and external sources to derive actionable insights. Translate analysis into clear years in FMCG or Liquor Industry with robust data analysis exposure. Skills: Proficiency in Excel and statistical Traits: Detail-oriented with a passion for data analysis and creativity in problem-solving. Availability:
processes and methodologies. Responsibilities: Data Analysis Utilise Python and SQL to extract, clean, and Skills Required: 3 solid years of experience in data analysis, preferably in a business intelligence or analytics Technologies must have Python and SQL for data manipulation and analysis. Experience with data visualisation
industry trends Engaging in A/B testing and data analysis to continuously improve site merchandising Strong analytical skills and familiarity with data analysis tools Excellent understanding of online customer
Reporting Live Data Capturing & Optimizing Data. Analysis & Co-ordinating Sales Agents Performance