A Bachelor's or Master's degree in Business, Finance, Technology, Computer Science, Engineering, or any discipline.
Knowledge of data mining with large structured and unstructured datasets, data acquisition, data validation, predictive modelling, and data visualization.
Proficiency in all phases of requirements gathering, analysis, designing, testing, and documentation, and a good understanding of Agile and Waterfall methodologies.
Ability to work independently and in a team environment, collaborating effectively with business, delivery, and technology partners.
Responsibilities
Participate in project-cycle planning for the data warehouse, including source data analysis, data extraction, and designing transformation and loading strategies.
Create technical specification documents and capacity planning reports as project requirements, following the software development life cycle using the Waterfall model.
Produce documentation that enables stakeholders to understand the steps of the data analysis process.
Assist supply chain analysts in automating reporting functionality using Power BI tools, including reports, dashboards, and scorecards with key performance indicators.
Create action filters, parameters, and calculated sets to prepare dashboards and worksheets in Tableau.
Job Description
Involve in project cycle plan for the data warehouse, source data analysis, data extraction process, transformation, and loading strategy designing.
Create Technical Specification Documents and capacity planning reports as part of the project requirement and followed the SDLC using the Waterfall model.
Produce appropriate documentation that allowed stakeholders to understand the steps of the data analysis process.
Assist Supply chain analysts with automating reporting functionality using Power BI tools, Power BI reporting, Dashboards & Scorecards (KPI).
Create action filters, parameters, and calculated sets for preparing dashboards and worksheets in Tableau
Qualifications
Bachelors or Masters Degree in Business, Finance, Technology, Computer Science, Engineering or any discipline.
Knowledge of Data Mining with large datasets of Structured and Unstructured Data, Data Acquisition, Data Validation, Predictive Modelling, and Data Visualization.
Proficiency in all phases of requirements gathering, analysis, designing, testing and documentation, and a good understanding of Agile and Waterfall Methodologies.
Ability to work independently and in a team environment, collaborating effectively with business, delivery, and technology partners.