Data Analyst – Network

Job not on LinkedIn

🕒 April 3

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

ERLPhase Power Technologies Ltd.

WebsiteLinkedInAll Job Openings

11 - 50 employees

⚡ Energy

🔧 Hardware

🏢 Enterprise

Energy • Hardware • Enterprise

ERLPhase Power Technologies Ltd. is a company based in Winnipeg, Canada, specializing in advanced technology and engineering solutions for the power protection industry. The company is dedicated to providing innovative solutions for the evolving needs of the global power grid. ERLPhase offers a range of products including TESLA power system disturbance recorders and intuitive relays ready for next-generation applications. The company emphasizes customer support, quality management, and corporate social responsibility as part of its ethos. As the power grid continues to transform, ERLPhase strives to remain at the forefront by delivering smart, forward-thinking products and solutions.

📋 Description

• Provide analytical oversight of the Network squad's models - demand forecasts, collection predictions, dimensions, shift release, and demand management allocation - in collaboration with Data Scientists and engineers • Investigate forecast errors by client, sort centre, day of week, and horizon - not just "accuracy is 92%" but "accuracy drops to 78% for TikTok on Mondays and here's what that costs us" • Quantify the CPP impact of model errors, working with the squad to understand how a 5% shift forecast miss translates into surge premiums or wasted capacity • Build dashboards that the squad and stakeholders rely on - accuracy tracking, bias monitoring, drift detection, model comparison before and after changes • Design alerting that surfaces model degradation before it hits operations, contributing to the squad's early warning capability • Partner with Data Scientists to validate model changes: did that retrain actually improve things, or did it just shift the error somewhere else? • Investigate when things go wrong - a forecast missed badly, a model drifted, a client's behaviour changed - working with the team to find out why and prevent recurrence • Translate model performance into language that Sortation, Last Mile, Middle Mile, and Finance can act on - helping build trust in the forecasts across the business • Maintain and extend the squad's dbt models and data pipelines that underpin the monitoring layer

🎯 Requirements

• Experience investigating data quality and model performance - spotting when numbers don't look right and following through to understand why • Familiarity with how predictive models work - their behaviour, assumptions, and common failure modes • Strong SQL skills, with experience using dbt and BigQuery or similar tools to build analytical pipelines • Experience building monitoring dashboards that inform regular decision-making • Clear communication with both technical and non-technical stakeholders - explaining model performance without unnecessary jargon • At least 3 years of experience in a data analyst or similar role • Bonus: comfort with Python for ad-hoc analysis and automation • A focus on impact - success in this role means the squad catches problems faster and the models improve over time

🏖️ Benefits

• Generous equity, richer than 99% of European startups, with annual top-ups to share Relay’s success. • Private health & dental coverage, so comprehensive you’d need to be a partner at a Magic Circle law firm to match it. • 25 days of holidays • Enhanced parental leave. • Hardware of your choice. • Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more).