Data Analyst at Mueller Water Products
Who We Are
Thank you for your interest in Mueller Water Products, Inc.
For more than 165 years, Mueller Water Products, Inc. has been building the future of water infrastructure. From lifesaving fire protection to data intelligence, we are committed to developing products and solutions that help cities and utilities deliver clean, safe drinking water to hundreds of millions of people across North America.
Our purpose is to connect communities to water, life’s most essential resource, with exceptional, people solutions and products. Behind that purpose is a dedicated team, united by our shared values of respect, integrity, trust, inclusion and safety. With a vision to be the leader in water infrastructure solutions—solving challenges, enriching lives and safeguarding the future—we are making a positive impact that will last for generations.
By joining Mueller, you become part of a dynamic team dedicated to excellence and innovation, working collaboratively to achieve meaningful results. We champion our people because when they succeed, our communities thrive. We invite you to learn more about career opportunities with us and consider submitting your application.
Vacancy Disclosure
This posting is for an existing vacancy within our organization that we are actively seeking to fill. Data Analyst
We are currently searching for a full-time Data Analyst to join our team based in Toronto, Ontario.
As a Data Analyst you will be responsible for collecting, processing and analyzing data from an industry leading Internet of Things (IoT) leak detection system and providing actionable insights to water utilities.
Key Responsibilities
Manage key client sites using the EchoShore product line: an industry leading Internet of Things (IoT) leak detection system. Perform acoustic analysis and large-scale data processing for leak detection and pipe condition assessment and provide reports to water utilities (customers) to help them manage their water distribution networks.
Communicate the status of data analysis to Project Managers. Identify data anomalies and significant variances and flag them to senior staff.
Assisting with the development of automatic software tools to improve productivity and efficiency of data analysis process. You will work closely with various departments (IT, software, sales) to implement these tools, understand their data needs and provide data-driven insights.
Analyze data and work with Senior Data Analysts and Software Engineers to adjust analysis software for best outcomes including defining acceptance criteria
Develop processes and procedures for accurate and efficient data analysis
Monitor process performance through KPIs and strive for continuous improvement and further development of the leak detection center
Prepare and update Standard Operating Procedure documents as required
Build and maintain relationships with external leak detection customers
Prepare and distribute reports to external customers regarding their leak assessment results
Work in compliance with the MWP Code of conduct and all Environmental, Health and Safety policies, procedures and regulations
Position Requirements
Bachelor’s degree in quantitative fields such as Engineering, Statistics, Mathematics, Computer Science, or a related field.
Previous experience in data analytics
Strong analytical skills, including data mining and statistical analysis
Proficiency in data analysis tools and software (e.g., SQL, Excel, R, Python). The ability to perform large scale data frame processing using Pandas and NumPy is a plus.
Database skills: good command of SQL queries. Understand database technologies: relational database (RDBMS), NoSQL, document-oriented, etc.
Good command of numerical methods and associated tools: Scipy, Matlab, Octave, or other.
Personal skills: creative, perseverant, detail-oriented, self-starter.
Well developed communication skills, both verbal and written, with the ability to present analysis results and data insights to technical and non-technical stakeholders.
Online asynchronous communication is required.
Critical Competencies: technical learning, time management, problem solving.
Position Assets
Experience with acoustic, seismic, and vibration analysis is a plus.
Knowledge of signal processing techniques and time-series analysis to identify anomalies, trends and other data patterns.
Experience with GIS processing software such as ArcGIS, Geocortex, DMTI Spatial
Design and implement instrumentation for data collection and analysis.
Conduct experiments to test hypotheses and validate data models.
Analyze experimental results and provide actionable insights.
Working experience in an Agile environment. Familiar with issue and bug tracking using JIRA
Familiar with Data Visualization tools such as Matplotlib, Plotly, etc
Mueller is committed to providing accommodation for people with disabilities. Accommodation is available, upon request, for candidates participating in the recruitment process.
Salary/Pay Range
$57,433.00-$78,970.00 CAD
The compensation range above reflects a good-faith estimate of starting base pay for full-time (40 hours per week) employment as of the date of posting. Individual compensation may vary depending on a variety of factors, including, but not limited to, the role, professional experience, job-related skills, achievements, and/or work location. The range listed is only one component of the total compensation package offered to candidates.
Other Compensation & Benefits
Mueller offers a competitive salary and benefits package. Current benefit offerings include: medical, dental, and vision insurance; retirement plan with 5% company match; Employee Stock Purchase Plan (ESPP); short-term and long-term disability benefits; paid time off; Pregnancy & Parental Leave Top Up; tuition reimbursement; an Employee Assistance Program (EAP), and more.
Accommodation
If you require accommodations during any stage of the application or interview process, please let us know. We are happy to work with you to meet your needs.
Mueller collects and maintains resumes for a period of 3 years for consideration of future opportunities.
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