Data Provisioning Student: Automate & Analyze Data

Canadian Natural; Calgary; On-site; CAD 24,000 - 36,000; Part time

Benefits offered by this job

Paid holidays during Christmas week

Relocation assistance under policy

Volunteer opportunities

Intern Social Committee

Job summary

Canadian Natural is seeking a Data Provisioning Student in Calgary to join a dynamic team of data professionals. You will develop tools to streamline application support and enable data provisioning for analytics, using C#, Python, SQL, and vendor tools such as Informatica and Databricks.

The role involves building data conversion scripts, developing reports in Power BI/Tableau/SSRS, and scheduling jobs with Orchestrator.

Qualifications

• Preference for 2nd year undergrad in Information Systems.
• Passion for data; familiarity with SQL and Oracle SQL Developer.
• Familiar with Power BI, Tableau, Python, C#, and related analytics tools.

Responsibilities

• Develop application/integration components to automate and streamline business processes using C#, Python, SQL and vendor tools like Informatica, Databricks, Azure Data Factory.
• Develop data conversion scripts to load data from external sources and fix data quality issues.
• Create analytic reports using Power BI, Tableau or SSRS.
• Develop job schedules using orchestration tools like Orchestrator.
• Estimate development effort for new or modified components.
• Maintain technical specs and documentation.
• Troubleshoot and fix day-to-day application/SQL issues.
• Manage data access for SSRS, Tableau and Power BI users.

Skills

SQL

Python

C#

Power BI

Tableau

SSRS

Orchestrator

Informatica

Databricks

Azure Data Factory

Data analytics

Education

2nd year Information Systems undergraduate

Tools

Oracle SQL Developer

MS SQL Server Reporting Services (SSRS)

Job description

Canadian Natural is seeking a Data Provisioning Student in Calgary to join a dynamic team of data professionals. You will develop tools to streamline application support and enable data provisioning for analytics, using C#, Python, SQL, and vendor tools such as Informatica and Databricks.

The role involves building data conversion scripts, developing reports in Power BI/Tableau/SSRS, and scheduling jobs with Orchestrator.