Midlevel Data Analyst needs 5-10 years of experience in developing reporting strategies and dashboard development (required)
Midlevel Data Analyst requires:
Solid understanding of data modeling & consistent record of driving efficiencies in reporting
Comfortable sourcing and working with large data sets.
Ability to understand data and recognize trends.
Report production capabilities.
Analytical/Critical mentality, attention to detail
Strong analytical, critical thinking & influencing skills
Excellent teamwork, interpersonal and communication skills
Ability to develop relationships at all levels of the business
The ability to multitask, prioritize and work in a fast-paced environment.
Merchandising, logistic, and retail sale at a product level experience (preferred)
Midlevel Data Analyst duties:
Conduct initial data analysis (data impact assessments) and present findings to the IT and Business teams, focusing on building out our Enterprise Item Master and the Product Inquiry Dashboard, as well as the Snowflake DataMart.
Validate during User Acceptance Testing (UAT) that the data aligns with our stakeholders? expectations.
Perform statistical methods to analyze data and draw insights using techniques such as descriptive statistics, exploratory data analysis (EDA), and inferential statistics.