2130 Data Analytics Food Manufacturing jobs in Chesapeake,VA

Remote Customer Service

Hire Standard Staffing

Chesapeake, VA

Must be a U.S. or Canadian citizen.
Comfortable using Zoom and other online communication tools.
No prior insurance experience is required — only a strong drive to succeed and a willingness to learn.

Dollar Tree

Chesapeake, VA 23322

Sentara Health

Virginia Beach, VA 23464

Bachelor's Degree (Required)
Minimum 3 years of experience working in data analytics (Required)
Must have experience working in cost utilization, cost of care trends, medical expense trending.
Must have experience coding in SQL (advanced)
Experience working with Power BI, Tableau, data bricks
Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington (state), West Virginia, Wisconsin, Wyoming

Family Dollar

Chesapeake, VA 23322

Coca-Cola Refreshments

Norfolk, VA 23501

USAA

Chesapeake, VA 23324

Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline is required; OR 4 years of related statistics, mathematics or quantitative analytics or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
8 years of experience in a decision support analytic function OR Advanced degree in relevant discipline, 6 years of experience in a decision support analytic function.
Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
Expert knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.