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Remote Entry Level Data Analyst Jobs in Calgary, AB

Analyst, Cost Planning

Calgary, AB · On-site +1

CA$60K - CA$70K/yr

... data cost information Key Requirements: * Degree or Diploma in Architectural Technology, Civil ... and remote work for focused tasks. Inclusivity & Accessibility Altus Group is committed to ...

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Remote Entry Level Data Analyst information

Is it possible to get a remote job as a remote entry level data analyst?

Yes, remote entry-level data analyst positions are available and increasingly common. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often accept candidates with relevant coursework or certifications. Many companies offer remote work options for entry-level analysts, especially in tech, finance, and consulting industries.

What does a remote entry level data analyst do?

A typical day as a Remote Entry Level Data Analyst often involves cleaning and organizing datasets, generating basic reports, and collaborating with team members through virtual meetings and communication platforms. You might use spreadsheet software or data visualization tools to identify trends and present findings to your supervisor or project stakeholders. Regular tasks also include responding to ad-hoc requests for data and assisting more senior analysts on larger projects. Since you’re working remotely, maintaining clear communication and managing your time independently are crucial for staying aligned with your team’s goals.

How to get a job as a remote entry level data analyst with no experience?

To secure a remote entry-level data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or certifications. Create a strong resume highlighting relevant coursework, projects, or internships, and apply to entry-level roles that often value transferable skills and willingness to learn, while demonstrating your ability to work independently in a remote environment.

What is a remote entry level data analyst?

A Remote Entry Level Data Analyst is a professional who works from a remote location to collect, process, and analyze data to help businesses make informed decisions. They use tools like Excel, SQL, and Python to identify trends, create reports, and support decision-making. Since this is an entry-level role, it typically requires basic data analysis skills and may involve working under the guidance of experienced analysts. Strong communication and problem-solving skills are essential for translating data insights into actionable business strategies.

What are the key skills and qualifications needed to thrive as a remote entry level data analyst?

To thrive as a Remote Entry Level Data Analyst, you need a solid understanding of data analysis, basic statistics, and proficiency with spreadsheet and data visualization tools—often supported by a degree in a related field such as mathematics or computer science. Familiarity with programming languages like SQL or Python and experience using analytics platforms like Excel, Tableau, or Google Data Studio are commonly required. Strong attention to detail, effective communication, and self-motivation are key soft skills for remote collaboration and successful project delivery. These skills are essential for accurately interpreting data, sharing actionable insights, and contributing to team objectives in a distributed work environment.

What are the most commonly searched types of Remote Data Analyst jobs in Calgary, AB? The most popular types of Remote Data Analyst jobs in Calgary, AB are:
What job categories do people searching Remote Entry Level Data Analyst jobs in Calgary, AB look for? The top searched job categories for Remote Entry Level Data Analyst jobs in Calgary, AB are:
Infographic showing various Remote Entry Level Data Analyst job openings in Calgary, AB as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Managed Pressure Drilling (MPD) Engineer - Data Analysis Specialist

Citadel Drilling Ltd., Opla Energy

Calgary, AB • On-site, Remote

Full-time

Re-posted 5 days ago


Job description

Location: Houston, Texas or Calgary, Alberta


About Us

Opla Energy is a leader in the energy industry, providing cutting-edge drilling solutions that enhance operational efficiency and reduce costs. We specialize in Managed Pressure Drilling (MPD) and leverage technology to optimize drilling performance. Our parent company, Citadel Drilling, is service-oriented and committed to meeting client needs with a fleet of modern, technically advanced AC triple (TACT) rigs-designed to maximize efficiency while minimizing costly downtime and labor expenses.


Job Summary

We are seeking an experienced MPD Engineer with a strong background in Python programming and data analysis. The ideal candidate will have hands-on expertise in MPD operations, real-time data processing, and automation of drilling workflows. The role requires understanding of MPD methodologies, downhole dynamics, and the ability to develop analytical tools to optimize drilling performance.


Key Duties and Responsibilities

  • Manage all aspects of project planning, proposal development, and program execution for MPD wells.
  • Prepare and deliver technical presentations and detailed reports on complex MPD projects and topics.
  • Collaborate with the R&D team to support the development and enhancement of proprietary MPD software.
  • Assist the sales team in client meetings, presentations, and providing technical expertise and support.
  • Provide remote and on-site engineering support to Opla personnel and clients.
  • Ensure full compliance with Opla's safety policies, procedures, and corporate standards.
  • Deliver 24/7 engineering support for active field operations as required.
  • Design, implement, and optimize MPD strategies to enhance drilling performance and well control.
  • Develop and deploy Python-based data analysis tools for real-time drilling data monitoring and informed decision-making.
  • Analyze surface and downhole data to generate insights on wellbore pressure, flow dynamics, and drilling efficiency.
  • Work closely with drilling teams to improve MPD workflows, automation systems, and predictive modeling capabilities.
  • Ensure all MPD operations comply with applicable HSE and regulatory standards.
  • Support remote operations and assist in troubleshooting MPD systems in real time.
  • Provide technical support and feedback for MPD software improvements and new feature development.


Qualifications & Requirements

  • Bachelor's degree in Petroleum, Chemical, or Mechanical Engineering (minimum requirement).
  • Recent graduate with a minimum of 1 year of experience in drilling engineering or operations, preferably with exposure to Managed Pressure Drilling (MPD).
  • Holds or is eligible to obtain E.I.T. certification.
  • Shift work required, with a hybrid schedule split between home and Opla's office.
  • Willing to travel as needed, including occasional trips to remote sites or international locations.
  • Strong proficiency in Python and Power BI (or similar tools) for data analysis, automation, and scripting.
  • Experience with real-time drilling data, machine learning algorithms, and IoT applications.
  • Solid understanding of drilling hydraulics, pressure control, and wellbore stability.
  • Practical experience with MPD software, surface control systems, and well control methodologies.
  • Excellent communication, interpersonal, and leadership skills.
  • Demonstrated willingness to learn and collaborate effectively in a team environment.
  • Ability to work independently in a fast-paced, high-energy setting.
  • Strong organizational skills with the ability to prioritize multiple tasks effectively.
  • Consistently maintains a professional and friendly demeanor.
  • Committed to upholding Opla's Core Values.
  • Must possess a valid driver's license.

Benefits

  • Competitive salary and performance-based bonuses.
  • Opportunity to work on innovative MPD projects with advanced technologies.
  • Professional development programs and training.
  • Collaborative and inclusive work environment.