At KenWave we help pressure pipe owners save time, money, and resources by supplying information on the actual state of their pipes to support smart asset management choices. KenWave’s Tonal Pipe Assessment™ (TPA) Technology is non-invasive and provides reliable information on pipe wall conditions, leaks, air pockets, and other anomalies without the risks and dangers of invasive inspection. Our technology is safe, straightforward, scalable and provides maximum network coverage.

Forge Connections, Fuel Growth: Lead as a Data Analyst at KenWave!
We are looking for a Data Analyst to assist us with processing field-gathered acoustic data for pipeline condition assessment projects. This role also supports Engineers and Software Developers in creating and deploying new analytical tools and frameworks to extend our predictive capabilities.

Specific accountabilities include:

Analyze acoustic data and manage the implementation of the condition assessment process

Develop and improve Python Scripts for processing/interpretation of field data

Review and integrate signal processing algorithms of sound files

Build and maintain a queries/report dashboard using SQL

Simplify data processing and automate where possible to support analysis

Develop alternative methods for manual processes

Education & Skill Requirements:

Bachelors Degree in one of the following areas: Computer Science, Data, Engineering,



Mathematics, Physics

3-5 years of employment experience

A Masters Degree would be an asset

Experience with:

Python, SQL, and managing databases

Distributed data processing frameworks

Software best practices including testing, benchmarking and peer reviews

Working through the ML lifecycle for data-intensive applications

Advanced pattern mining, clustering and parametric sweep optimization models

Familiarity with Octave, Matlab and MathCAD

Prior acoustical experience including acoustic or optical signal processing would be an asset

Knowledge of Machine Learning, Artificial Intelligence and Data Science

Abilitity to explain and synthesize the results of statisitcal models to a non-statistician

Strong communication skills with the ability to collaborate across business and technological functions including interfacing with external stakeholders

Familiarity with multivariate spectral analysis of time series data would be an asset

Salary:
70-100K - depending on experience

KenWave is an inclusive and equal opportunity employer committed to providing diversity and accommodation for applicants upon request in accordance with the Accessibility for Ontarians with Disabilities Act (AODA).

This is a non-management position
This is a full time position

#J-18808-Ljbffr

📌 Data Analyst (Mississauga - Head Office) (Ontario)
🏢 KenWave Solutions
📍 Ontario