Data Analyst

Calgary - Canada

Monthly Salary: Not Disclosed

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

Headquartered in Calgary Alberta Strathcona Resources Ltd. is one of North Americas fastest growing pure play heavy oil producers with operations focused on thermal oil and enhanced oil recovery near the Cold Lake and Lloydminster regions of Alberta and Saskatchewan.

Strathcona is committed to doing business the right way guided by our core values: Integrity Energy and Intelligence. These values define who we are as a company how we work together and how we make decisions: We prioritize respect accountability and collaboration. That means everyone can shape and strengthen our culture and drive results in meaningful ways. Our people bring energy and curiosity to solve problems and deliver results. Be part of a team where performance collaboration and innovation come together to drive success.

We are seeking a skilled Contract Data Analyst to help meet a period of increased demand for analytics and reporting across the business. This role will support immediate delivery needs of the business with the potential for extension based on business needs and fit.

Reporting to the Team Lead Analytics you will work closely with internal stakeholders and our analytics team to deliver high-quality consistent and scalable Tableau dashboards across multiple corporate functions. The ideal candidate brings strong technical expertise in Tableau and Databricks paired with a solid understanding of upstream and corporate oil and gas data.

Responsibilities:

Data Analytics (Primary)

Design build and maintain Tableau dashboards to support business needs across corporate teams ensuring established best practices and data governance
Partner with business stakeholders to understand requirements translate them into effective visual analytics and iterate based on feedback
Collaborate closely with internal data and analytics team members to ensure consistency scalability and maintainability of solutions
Support dashboard testing validation documentation and knowledge transfer as required

Data Development (Secondary)

Work with Databricks to query transform and optimize raw datasets to understand data structures relationships and data quality issues
Determine appropriate joins transformations and cleaning steps required to prepare raw data for analytics use cases
Ingest model and integrate new data sources while also enhancing and maintaining existing dataset

Qualifications:

Proven experience developing dashboards in Tableau
Strong working knowledge of Databricks or other data lake platforms including querying and working with curated and raw datasets
Experience working with enterprise data across multiple functional domains
Experience designing solutions for spreadsheet inputs and writeback or feedback loops within reporting workflows
Oil and gas industry experience particularly with corporate functions such as Finance Commercial Land or Supply Chain
Prior experience working with financial/reserve systems within the energy sector (Qbyte Execute Valnav)
Experience working within governed analytics environments and following established BI standards
Experience supporting self-service analytics initiatives
Understanding of data lake concepts
Familiarity with data ingestion data modeling and working with evolving datasets
Demonstrated ability to work with raw data assess data quality and independently determine how to join and clean datasets
Working experience with OLAP and Tabular models such as Analysis Services

Great things arent done by one person theyre done by a team.

We believe meaningful results come from people with unwavering commitment to integrity energy and intelligence how we show up matters just as much as what we deliver. We value our work our communities and our commitments but most of all we value the team of people who make what we do possible.

Apply to Strathcona

If you have what it takes to be a great Strathcona team member we want to hear from you. We appreciate all interest in this opportunity but only those selected to advance through the process will be contacted.

Required Experience:

Responsibilities:

Data Analytics (Primary)

Design build and maintain Tableau dashboards to support business needs across corporate teams ensuring established best practices and data governance
Partner with business stakeholders to understand requirements translate them into effective visual analytics and iterate based on feedback
Collaborate closely with internal data and analytics team members to ensure consistency scalability and maintainability of solutions
Support dashboard testing validation documentation and knowledge transfer as required

Data Development (Secondary)

Work with Databricks to query transform and optimize raw datasets to understand data structures relationships and data quality issues
Determine appropriate joins transformations and cleaning steps required to prepare raw data for analytics use cases
Ingest model and integrate new data sources while also enhancing and maintaining existing dataset

Qualifications:

Proven experience developing dashboards in Tableau
Strong working knowledge of Databricks or other data lake platforms including querying and working with curated and raw datasets
Experience working with enterprise data across multiple functional domains
Experience designing solutions for spreadsheet inputs and writeback or feedback loops within reporting workflows
Oil and gas industry experience particularly with corporate functions such as Finance Commercial Land or Supply Chain
Prior experience working with financial/reserve systems within the energy sector (Qbyte Execute Valnav)
Experience working within governed analytics environments and following established BI standards
Experience supporting self-service analytics initiatives
Understanding of data lake concepts
Familiarity with data ingestion data modeling and working with evolving datasets
Demonstrated ability to work with raw data assess data quality and independently determine how to join and clean datasets
Working experience with OLAP and Tabular models such as Analysis Services