University of Denver
Director of Data Insights
University of Denver, Denver, Colorado, United States, 80285
Denver, CO
Experienced Alumni Jobs, Full-Time JobProject Canary is a climate technology company offering an enterprise data platform that helps energy companies improve and report on their emissions footprint. Project Canary builds high-fidelity sensors, ingests data from various other technologies and sources, and leverages proprietary analytics and models to deliver insights that operators can act on to reduce emissions. The data-driven technology enables energy operators to stop leaks faster, reduce risk, streamline reporting, and differentiate their operations for key stakeholders.Key ResponsibilitiesWork cross-functionally to identify core data value propositions for our company and our customers.Build and maintain strong relationships with key stakeholders within our customer base.Provide expert advice on leveraging data and deliver tools, reports, and analyses to increase the power and utility of our data and solutions.Work with sales and customer success teams to help communicate technical aspects of our product offering and solution on data integration into customer systems and processes.Challenge existing business processes through data-driven insightsGarner key insights from data and communicate these findings to key stakeholders to help make data-driven decisions.Analyze data to help contextualize continuous emissions monitoring data for customers including creating scalable analytical processes.Create dashboards and other data intelligence tools for internal and externa stakeholder groups.Develop advanced data tools to visualize complex concepts related to continuous emissions monitoring.Create automated data analysis tools and applications.SCADA data and emission event reconciliationEmission distribution analyses and comparative studies of bottom-up inventories to measured inventoriesCollaborate with product and data science teams to develop and test new product features and toolsSkills, Knowledge and ExpertiseGraduate degree in statistics, computer science, other degrees with a concentration on statistical methods, or BA/BS with additional education and experience.7+ years of experience working in an analytical capacity.5+ years of leadership experience developing talent, building teams, and managing others. Preference for managing data teams that are customer facing.Advanced proficiency in SQL for querying, analysis, and visualization is a mustStrong preference for additional proficiency in Python, R, or similar statistical analysis tools or languages.Demonstrated proficiency in data reporting tools or BI tools such as Tableau, Looker, Power BI, etc.Excellent written and verbal communication skills.Excellent relationship building skills to identify stakeholder needs, foster trust, challenge assumptions, and make recommendations.Hybrid work environment (at least 3 days/week in Denver office)Health, dental, and vision insurance with low deductibles and premiums paid by company 99% for self and 50% for dependents and/or spouse401K with company match (no vesting period)Opportunity for equity ownershipStudent loan assistanceGenerous PTO12 weeks of fully paid parental leave (gender neutral) including adoptionsFlex Choice Monthly Stipend – choice between parking, public transportation, or wellness assistanceDog friendly office environmentAbout Project CanaryProject Canary was founded in 2019 with a vision to measure what matters – the greenhouse gases emitted from critical parts of our energy infrastructure. Our team is constantly pushing the envelope to bring more visibility to the emissions problem than ever before – enabling the energy sector to reduce its carbon footprint.
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Experienced Alumni Jobs, Full-Time JobProject Canary is a climate technology company offering an enterprise data platform that helps energy companies improve and report on their emissions footprint. Project Canary builds high-fidelity sensors, ingests data from various other technologies and sources, and leverages proprietary analytics and models to deliver insights that operators can act on to reduce emissions. The data-driven technology enables energy operators to stop leaks faster, reduce risk, streamline reporting, and differentiate their operations for key stakeholders.Key ResponsibilitiesWork cross-functionally to identify core data value propositions for our company and our customers.Build and maintain strong relationships with key stakeholders within our customer base.Provide expert advice on leveraging data and deliver tools, reports, and analyses to increase the power and utility of our data and solutions.Work with sales and customer success teams to help communicate technical aspects of our product offering and solution on data integration into customer systems and processes.Challenge existing business processes through data-driven insightsGarner key insights from data and communicate these findings to key stakeholders to help make data-driven decisions.Analyze data to help contextualize continuous emissions monitoring data for customers including creating scalable analytical processes.Create dashboards and other data intelligence tools for internal and externa stakeholder groups.Develop advanced data tools to visualize complex concepts related to continuous emissions monitoring.Create automated data analysis tools and applications.SCADA data and emission event reconciliationEmission distribution analyses and comparative studies of bottom-up inventories to measured inventoriesCollaborate with product and data science teams to develop and test new product features and toolsSkills, Knowledge and ExpertiseGraduate degree in statistics, computer science, other degrees with a concentration on statistical methods, or BA/BS with additional education and experience.7+ years of experience working in an analytical capacity.5+ years of leadership experience developing talent, building teams, and managing others. Preference for managing data teams that are customer facing.Advanced proficiency in SQL for querying, analysis, and visualization is a mustStrong preference for additional proficiency in Python, R, or similar statistical analysis tools or languages.Demonstrated proficiency in data reporting tools or BI tools such as Tableau, Looker, Power BI, etc.Excellent written and verbal communication skills.Excellent relationship building skills to identify stakeholder needs, foster trust, challenge assumptions, and make recommendations.Hybrid work environment (at least 3 days/week in Denver office)Health, dental, and vision insurance with low deductibles and premiums paid by company 99% for self and 50% for dependents and/or spouse401K with company match (no vesting period)Opportunity for equity ownershipStudent loan assistanceGenerous PTO12 weeks of fully paid parental leave (gender neutral) including adoptionsFlex Choice Monthly Stipend – choice between parking, public transportation, or wellness assistanceDog friendly office environmentAbout Project CanaryProject Canary was founded in 2019 with a vision to measure what matters – the greenhouse gases emitted from critical parts of our energy infrastructure. Our team is constantly pushing the envelope to bring more visibility to the emissions problem than ever before – enabling the energy sector to reduce its carbon footprint.
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