Top Benefits
About the role
- Pay Rate: $100.00/hour, depending on experience
- Contract Length: 1 Year
- Location: Calgary, Alberta
Raise is currently hiring an IT Data Analyst-Architect on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to work with an industry leader. Our client, the third largest producer of Canadian oil and natural gas and the second largest refiner and upgrader with extensive midstream and downstream infrastructure
Note: The primary pay rate is based on T4 classification; however, we will also consider applications from candidates interested in an INC classification, where applicable.
Description The IT Data Analyst-Architect in this role will focus on using ETL best practices on data to solve business problems and improve efficiency within our organization's IT systems. Collect, clean and interpret data to identify trends and actionable insights, then communicate these findings to stakeholders to inform decision-making and drive data and process improvements. Develop data models, align data architecture with business objectives and technological capabilities.
Responsibilities
- Data Collection and Management:
- Gathering data from various sources, including databases, systems, and potentially external sources.
- Developing and maintaining data collection and storage systems.
- Ensuring data accuracy, integrity, consistency, and quality.
-
- Data Analysis and Interpretation:
- Applying statistical techniques and tools to analyze data.
- Identifying trends, patterns, correlations and inconsistencies within the data and associated systems
- Developing data models to support analysis and predictions.
-
- Communication and Reporting:
- Creating visualizations, reports, and dashboards to present findings.
- Communicating insights and proposing recommendations to technical and non-technical audiences.
- Collaborating with stakeholders to understand their needs and translate them into data-driven solutions.
-
- Troubleshooting and Optimization:
- Identifying and resolving issues with data systems and processes.
- Optimizing data collection, storage, and analysis processes.
- Continuously improving data quality and efficiency, and creating low maintenance solutions.
-
- Designing and Implementing Data Models:
- Determining how data is stored, accessed, and managed to achieve business goals.
-
- Ensuring Data Integrity and Security:
- Contributing to standards for data quality, security, and compliance.
-
- Developing Data Strategies:
- Contributing to the overall data strategy and ensuring it aligns with business goals.
-
- Staying Current with Technology:
- Continuously researching and evaluating new technologies and trends in data management.
Qualifications
- Technical Skills: Proficiency in SQL, data modeling and database design principles, and Power BI.
- Analytical Skills: Strong problem-solving, critical thinking, and analytical abilities.
- Collaboration Skills: Ability to work effectively with cross-functional teams including IT, operations, engineering, and finance.
- Desirable Skills:
- Technical Skills: Proficiency in Python specifically (but any statistical programming language is a plus) Databricks. PI Data Historian, MS SQL Server. other data visualization tools, and REST API programming, data migration. Proficiency in data warehousing, ETL (extract, transform, load) processes, and data modeling tools.
- Communication Skills: Ability to clearly and effectively communicate complex information, data flows and processes to diverse audiences.
- Domain Knowledge: Understanding of the upstream oil & gas industry, specifically Process Data, SCADA, Field Data Capture, heavy oil production processes, AB and SK air emissions regulations.
- Desirable Education:
- Bachelor’s degree in computer science, information technology, or a related field.
Looking for meaningful work? We can help! Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.
We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.
We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: https://raise.jobs/accommodations/
In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or any other Raise job posting (or have any other questions), please contact us at +1 800-567-9675 or hello@raiserecruiting.com.
#WES
Top Benefits
About the role
- Pay Rate: $100.00/hour, depending on experience
- Contract Length: 1 Year
- Location: Calgary, Alberta
Raise is currently hiring an IT Data Analyst-Architect on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to work with an industry leader. Our client, the third largest producer of Canadian oil and natural gas and the second largest refiner and upgrader with extensive midstream and downstream infrastructure
Note: The primary pay rate is based on T4 classification; however, we will also consider applications from candidates interested in an INC classification, where applicable.
Description The IT Data Analyst-Architect in this role will focus on using ETL best practices on data to solve business problems and improve efficiency within our organization's IT systems. Collect, clean and interpret data to identify trends and actionable insights, then communicate these findings to stakeholders to inform decision-making and drive data and process improvements. Develop data models, align data architecture with business objectives and technological capabilities.
Responsibilities
- Data Collection and Management:
- Gathering data from various sources, including databases, systems, and potentially external sources.
- Developing and maintaining data collection and storage systems.
- Ensuring data accuracy, integrity, consistency, and quality.
-
- Data Analysis and Interpretation:
- Applying statistical techniques and tools to analyze data.
- Identifying trends, patterns, correlations and inconsistencies within the data and associated systems
- Developing data models to support analysis and predictions.
-
- Communication and Reporting:
- Creating visualizations, reports, and dashboards to present findings.
- Communicating insights and proposing recommendations to technical and non-technical audiences.
- Collaborating with stakeholders to understand their needs and translate them into data-driven solutions.
-
- Troubleshooting and Optimization:
- Identifying and resolving issues with data systems and processes.
- Optimizing data collection, storage, and analysis processes.
- Continuously improving data quality and efficiency, and creating low maintenance solutions.
-
- Designing and Implementing Data Models:
- Determining how data is stored, accessed, and managed to achieve business goals.
-
- Ensuring Data Integrity and Security:
- Contributing to standards for data quality, security, and compliance.
-
- Developing Data Strategies:
- Contributing to the overall data strategy and ensuring it aligns with business goals.
-
- Staying Current with Technology:
- Continuously researching and evaluating new technologies and trends in data management.
Qualifications
- Technical Skills: Proficiency in SQL, data modeling and database design principles, and Power BI.
- Analytical Skills: Strong problem-solving, critical thinking, and analytical abilities.
- Collaboration Skills: Ability to work effectively with cross-functional teams including IT, operations, engineering, and finance.
- Desirable Skills:
- Technical Skills: Proficiency in Python specifically (but any statistical programming language is a plus) Databricks. PI Data Historian, MS SQL Server. other data visualization tools, and REST API programming, data migration. Proficiency in data warehousing, ETL (extract, transform, load) processes, and data modeling tools.
- Communication Skills: Ability to clearly and effectively communicate complex information, data flows and processes to diverse audiences.
- Domain Knowledge: Understanding of the upstream oil & gas industry, specifically Process Data, SCADA, Field Data Capture, heavy oil production processes, AB and SK air emissions regulations.
- Desirable Education:
- Bachelor’s degree in computer science, information technology, or a related field.
Looking for meaningful work? We can help! Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.
We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.
We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: https://raise.jobs/accommodations/
In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or any other Raise job posting (or have any other questions), please contact us at +1 800-567-9675 or hello@raiserecruiting.com.
#WES