As a Data Analyst, you will be responsible for creating meaning from data sets by transforming data into readable, goal-driven reports to assist in continuous innovation and growth.

This requires a detail oriented individual with solid exposure to mathematical and statistical principles and a deep understanding of popular data analysis tools and databases.

Responsibilities

• Managing data sets, including creation, updates, and deletion.
• Performing analysis to assess the quality and meaning of data
• Removing corrupted data and fixing coding errors and related problems
• Commissioning and decommissioning of data sets.
• Producing reports and charts communicating trends within data is a requirement
• Managing and designing the reporting environment, including data sources, security, and metadata.
• Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
• Generating reports from single or multiple systems.
• Evaluating changes and updates to source production systems.
• Training end users in new reports and dashboards.
• Providing technical expertise in data storage structures, data mining, and data cleansing.
• Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
• Working with programmers, developers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
• overseeing the implementation of project management plans to ensure technical feasibility.
• Create and maintain comprehensive project documentation.
• Partaking in the enhancement of the Data Science functions.
• Understand all interactions between the system components.
• Transition existing dashboards from Tableau to Qlik Sens

Requirements 

• Proficient in Microsoft office and Google Suite
• Proficient Qlik sense
• Proficient Tableau
• Is capable in programming and/or the understanding of programing languages
• Quantitative and qualitative analytical skills
• Has sensible statistical knowledge
• Experienced in data visualization
• Experienced with Machine Learning
• Defining Metrics of Data and Analytics projects
• Familiar with data architecture
• Experienced in working with big data
• Technical writing experience in relevant areas, including queries, reports, and presentations.
• Programming Languages and Software Knowledge Required:
• Python
• SAS
• Alteryx
• Data Analysis tools such as Alteryx