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Company | Certarus Ltd. |
Address | Calgary, Alberta, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Internet Publishing |
Expires | 2023-08-17 |
Posted at | 9 months ago |
Certarus is the North American leader in providing low carbon energy solutions through a fully integrated compressed natural gas (CNG), renewable natural gas (RNG), and hydrogen platform. The company safely delivers clean-burning fuels to remote communities and industrial customers not connected to a pipeline.
- Process Automation
- Business Intelligence (Dashboards / Reporting)
- In-house Software Development
- We support a hybrid work environment consisting of in-person collaboration at our Calgary office and flexible remote work.
- Normal working hours are expected for this role.
- Oversee various machine learning projects from proof-of-concept to operationalization.
- Other duties as assigned.
- Develop and execute a roadmap for data & analytics function.
- Lead a data & analytics team and ensure that all members are contributing to a data platform that drives maximum business impact.
- High-grade the business intelligence platform to ensure that dashboards adequately address business questions, measure performance, and drive meaningful action.
- Interface with Certarus’ customers on data integration projects to extend visibility and establish shared KPIs.
- Partner with key stakeholders in various departments to design, iterate and implement data initiatives.
- Champion good data governance practices and standards while leading initiatives to reduce technical debt / multiple sources of truth.
- Evaluate and improve upon existing data architecture for optimal usability, reliability, and scalability.
- Experience processing and analyzing real time streaming data is an asset.
- Post-secondary degree in Computer Science, Statistics or related technical discipline, or equivalent industry experience.
- Experience with big data technologies such as Azure Synapse, Hadoop, Spark, etc.
- Experience working with BI tools such as Power BI, Tableau, Grafana, etc.
- Understand best practices in terms of data standards, database design, data architecture and modelling.
- Expert in SQL as well as a data scripting language such as Python or R.
- 8+ years’ data / analytics / business intelligence experience in a professional environment.
- Highly self-motivated individual who can proactively identify opportunities for improvement.
- Strong problem-solving skills and the ability to think critically and strategically, with a data-driven mindset.
- Expert developing and maintaining data warehouses, relational databases, and data lakes.
- Experience developing AI/ML models in a cloud environment is an asset.
- Experience developing in .NET Framework is an asset.
- Comfortable working in a fast-paced, high-performance environment.
- Experience with Microsoft Technology Stack (PowerApps/Automate, SharePoint, PowerShell) is an asset.
- Demonstrate ability to lead, mentor, and motivate a team while ensuring that they have the resources, direction, and balance to achieve their goals.
- Logistics and/or Oil and Gas business knowledge is an asset.
- Proven experience in design, architecture, implementation, and operation of large, scalable analytical solutions.
- Experience developing data integrations and transformations in Azure (Databricks, Data Factory, Data Share, Logic Apps) or AWS equivalents.
- Excellent communication and facilitation skills, with the ability to build relationships and collaborate effectively with cross-functional teams.
- Hands on experience implementing statistical methodologies against time series data to provide actionable insights is an asset.
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