Veolia in North America is the top-ranked environmental company in the United States for three consecutive years, and the country’s largest private water operator and technology provider as well as hazardous waste and pollution treatment leader. It offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery. Veolia helps commercial, industrial, healthcare, higher education and municipality customers throughout North America. Headquartered in Boston, Veolia has more than 10,000 employees working at more than 350 locations across North America.
Position Purpose:
As a Data Analyst, this position will apply data mining, statistical, and modeling techniques to numerous types of data on a daily basis. This position will work closely with various areas within various Operational Areas including but not limited to; Metering, Systems Maintenance, and Production, then work with the Finance team to help develop and implement corrective solutions based on where the data leads you. Once data has been gathered and interpreted, the Data Analyst will report back what has been found in a comprehensive study to wider business/relevant colleagues.
Primary Duties/Responsibilities:
- Analyze different datasets related to customer accounts to detect, analyze and interpret useful patterns and trends in complex data sets that could be helpful for diagnosis and prediction of consumption, asset failure, maintenance needs.
- Using data to find and analyze sources, group data in logical categories, ensure data consistency, cleanse the data and provide insights.
- Create and analyze reports to determine patterns and trends.
- Present reports visually such as graphs, charts, and dashboards.
- Develop and help to implement corrective solutions.
- Defining new data collection and analysis processes.
- Performing analysis to assess quality and meaning of data.
- Preparing reports for the management stating trends, patterns, and predictions using relevant data.
- Other duties as assigned.
Education/Experience/Background:
- Bachelor’s degree in Applied Mathematics, Statistics, Computer Science, Accounting, Finance, or related field.
- 1-3 years of