Logistics at full potential We are currently looking for a talented and passionate certified Data Analyst.
The successful candidate will turn data into information, information into insight and insight into business decisions.
Reporting to the Ste Manager, you will be conducting full lifecycle analysis to include requirements, activities and design.
You will develop analysis and reporting capabilities.
You will also monitor performance and quality control plans to identify improvements.
What you will do: Collect, interpret data, analyze results using statistical techniques and provide ongoing reports.
Develop and implement databases, data collection systems, data analytics techniques and models, and other strategies that optimize statistical efficiency and quality.
Acquire data from primary or secondary data sources and maintain databases / data systems Identify, analyze, and interpret trends or patterns in complex data sets Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems Work with management to prioritize business and information needs Identify and define new process improvement opportunities Required Education and Experience To be successful in this role it is essential that you have the following skills: Knowledge and experience with R Proven working experience as a Data Analyst or Business Data Analyst Technical expertise regarding data models and database design development.
Strong knowledge of and experience with reporting packages and BI tools (Business Objects, Microstrategy, Power BI, etc.
), databases (Oracle, DB2, etc.
), programming (XML, Javascript, or ETL frameworks) Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.)
Strong technical knowledge of MS Excel.
Technical knowledge of SaaS cloud environments (AWS or Azure).
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Adept at queries, report writing and presenting findings Preferred Education: Bachelor's degree in Mathematics, Computer Science, Information Management or Statistics Language skills: Proficiency English