Senior Data Analyst

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.  

Job Purpose: The successful candidate in this role will perform a mixture of data analysis, scientific research, algorithm design, automation and software development to advance our data analytics solutions and productivity. He/she will work closely with Operations, Engineering and Research.

% of Time

Primary Accountabilities

50

Acoustic file analysis and processing

25

Research and Development of new algorithms and data tools

20

Data Management/Analytics

5

Project Administration

Required Education & Experience:

• One of:
  • Advanced Degree (PhD or MSc) in a quantitative field: Engineering, Physics, Computer Science, Math, Statistics
  • Bachelor's degree in a quantitative field and 3 years of data analysis experience

Required Knowledge, Skills, Abilities and Other Competencies:

• Highly analytical, creative, and innovative approach to problem solving.
• Demonstrated expertise in data mining, time-series analysis and statistics.
• Experience SQL and other database technologies
• Proficient with data extraction, manipulation and visualization using Python.
• Follow best coding practices emphasizing quality and readability.
• Solid understanding of Probabilistic concepts and Statistical Inference
• Ability to understand advanced concepts in physics and acoustics.
• Personal skills: good communicator, perseverant, detail-oriented, self-starter.

These are considered assets:

• Experience with developing software for scientific / engineering applications.
• Experience with acoustic, seismic, vibration, or other time series data sets.
• Experience with Machine Learning algorithms
• Experience working with cross-functional business and engineering stakeholders
• Business acumen and ability to translate business needs into data requirements

Responsibilities:

• Analyze acoustic data files
• Develop processes and procedures for accurate and efficient signal processing
• Perform exploratory data analysis to extract key insights and propose solutions to stakeholders. Create and track relevant key performance metrics.
• Work with the R&D team to develop and evaluate new processing methodologies
• Apply different feature sets & machine learning algorithms for data analysis automation.
• Work with operations to define acceptance criteria & performance indicators for automation algorithms and software improvements
• Work with the software development team to integrate automation algorithms and software improvements into our data analysis software
• Write scripts or data pipelines to extract, combine, and analyze data from multiple sources.
• Establish conclusive evidence, supported by data, to present to senior management
• Works in compliance with the Mueller Water Products Code of Conduct and all Environmental, Health and Safety policies, procedures, and regulations.
• Other duties as assigned

Lominger Competencies:

• Technical Learning
• Time management
• Problem Solving
• Functional/Technical Skills
• Informing
• Written Communication
• Drive for results

Working Conditions:

• Office Environment
• Up to 10 percent travel may be required.