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Data Science And Analytics Jobs in Edmonton, AB (NOW HIRING)

Sr Advisor Business Enablement

Edmonton, AB · On-site

CA$96K - CA$125K/yr

Serve as the business liaison and sponsor for data, analytics, automation, AI, and technology ... Data Science, or a related field. * Significant experience in long-term planning, business ...

New

Leverage analytical tools (statistical, predictive modelling, etc.) to identify segmented, zone ... Propose and support network experiments in partnership with tech & data science teams. Assess ...

... Science, Engineering, or a related field is required * Minimum 3-5 years of experience developing business intelligence, analytics, reporting, or data visualization solutions * Experience gathering ...

... data science and manufacturing, Nabors aims to innovate the future of energy and enable the ... Excellent troubleshooting skills to analyze equipment skillfully * Must be professional in both ...

A Day in the Life As a Senior GIS Analyst, you'll be responsible for leading multiple projects ... unites science, data and practical expertise to deliver solutions that strengthen our clients ...

Experience with cloud networking and integration with downstream analytics tooling (including Power ... Collaborate with data engineers, data scientists, and other stakeholders to support their workflows ...

Using analysis tools such as process maps, data flows, and other documentation techniques to ... A degree or diploma in Business, Management Information Systems, Computer Science, or a related ...

Showing results 41-60

Data Science And Analytics information

What is data science and analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.

What are the key skills and qualifications needed to thrive as a data science and analytics professional, and why are they important?

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology, with opportunities for advancement and specialization.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, data visualization tools, and statistical analysis, often with certifications or experience in big data platforms and SQL. Job responsibilities include interpreting complex data, building predictive models, and supporting data-driven decision-making.
Infographic showing various Data Science And Analytics job openings in Edmonton, AB as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Sr Advisor Business Enablement

Enbridge

Edmonton, AB • On-site

CA$96K - CA$125K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 2 days ago

New


Enbridge rating

8.4

Company rating: 8.4 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

20th of 53 rated energy and utility


Job description

Posting End Date:

August 28, 2026

Employee Type:

Regular-Full time

Union/Non:

This is a non-union position

At Enbridge, we're advancing how data, technology, and business capabilities support the safe and reliable operation of our energy infrastructure. As a Senior Advisor, Business Enablement, you will play a key role in linking business priorities with technology, data, analytics, and intelligent solutions, helping Integrity & Risk Management (IRM) teams modernize processes, improve decision-making, and deliver meaningful business value.

Ready to make an impact? Join Enbridge and help shape the processes, strategies, and solutions that enable our teams to deliver exceptional results. If you're energized by collaboration, continuous improvement, and driving meaningful business outcomes, we encourage you to apply today.

What You Will Do:
  • Collaborate with leaders across Integrity & Risk Management to align business priorities, operational needs, and modernization initiatives with broader organizational strategies.

  • Develop and maintain business capability roadmaps, helping prioritize data, systems, technology, and process improvement opportunities.

  • Lead the development of arguments, investment recommendations, funding proposals, and implementation plans that support critical initiatives and long-term business objectives.

  • Serve as the business liaison and sponsor for data, analytics, automation, AI, and technology initiatives, ensuring business requirements are clearly defined and communicated to delivery partners.

  • Facilitate workshops, collaborator engagements, and executive-level discussions to drive alignment, resolve challenges, and support effective decision-making.

  • Coordinate business readiness activities, support change adoption, and help advance technology and enablement initiatives from concept through implementation.

  • Build positive relationships across business, technology, and leadership teams to find opportunities, manage risks, and drive value realization.

Who You Are:
  • University degree or equivalent experience in Business, Engineering, Information Systems, Data Science, or a related field.

  • Significant experience in long-term planning, business enablement, technology strategy, management consulting, program management, or operational excellence.

  • Proven experience developing arguments, investment recommendations, executive presentations, and funding proposals.

  • Demonstrated success leading complex, cross-functional initiatives involving business collaborators, technology teams, vendors, and senior leadership.

  • Strong business insight with the ability to assess priorities, structure complex problems, and support informed decision-making.

  • Outstanding ability in building relationships, communicating, facilitating, and influencing, with the capacity to deliver results without direct authority.

Preferred:
  • Experience supporting data integration, analytics, digital transformation, governance, automation, or AI-related initiatives.

  • Knowledge of data strategy, business process improvement, operational risk management, and technology enablement practices.

  • Experience translating business requirements into technology solutions and working with enterprise technology delivery models.

  • Familiarity with integrity management, risk management, operations, or related energy industry environments.

Working Conditions:
  • Office-based position with the opportunity to work collaboratively across various sites, including Calgary, Edmonton, and Houston.

  • Frequent interaction with business leaders, technology teams, and project collaborators in a fast-paced, collaborative environment.

  • Consistent involvement in workshops, planning sessions, executive presentations, and cross-functional meetings.

  • Occasional travel may be required to support collaborator engagement, project activities, and business initiatives.

Physical Requirements include but are not limited to:

Grasping, kneeling, light - moderate lifting (objects up to 20 pounds), reaching above shoulder, repetitive motion, typing, sitting, standing, visual requirement (able to see screens, detect color coding, read fine print), hearing requirement and the ability to sit at a computer for long periods of time.

Mental Requirements (Both Field & Office) include but are not limited to:

Ability to: understand, remember and apply oral and/or written instructions or other information, understand complex problems and collaborate/explore alternative solutions, organize thoughts and ideas into understandable terminology, organize and prioritize work schedule on a short-term basis, make decisions which have moderate impact on the immediate work unit and monitor impact outside this area, understand and follow basic instructions and guidelines, complete routine forms, compose letters, outlines, memoranda and basic reports and communicate with individuals via telephone.

Salary:
  • Ranges from $96,200 - $125,000 USD for US locations based upon candidate's experience, skills, and internal equity.
  • Applicable compensation policies and guidelines apply to internal candidates.
Benefits:
  • A flexible benefits program that allows each employee to select the level of coverage needed for their family in the areas of health, dental, insurance and disability.

  • A paid parenthood leave benefit that offers up to 20 weeks of paid leave for birth-giving parents and up to 12 weeks for other eligible parents, providing flexibility and support during this important life event.

  • Valuable retirement savings plans, including a savings plan with company stock as an investment option.

  • Paid time off/vacation/sick, plus paid personal days off (depending on location), and paid holidays .

  • An Employee and Family Assistance Program.

  • A Wellness Program, which focuses on supporting healthier employees by providing tools, resources, and opportunities to improve physical, mental, social, and financial well-being.

  • Enbridge's FlexWork (hybrid work model) offers eligible employees (Manager and below) the option to work from home on Wednesdays and Fridays, opt for a compressed work week schedule, and have flexible start and end times. Role requirements determine your eligibility for each option. #LI-Hybrid

At Enbridge, we are dedicated to our core value of Inclusion.We are proud to bean Equal Opportunity Employer. We are committed to providing employment opportunities to all qualified individuals, without regard to age, race, color, national or ethnic origin, religion, sex, sexual orientation, gender identity or expression, marital status, family status, veteran status, Indigenous status, disability, or any other reason protected by federal, state, or local law.Applicants with disabilities can request accessible formats, communication supports, or other accessibility assistance by contacting careers@enbridge.com.

Information For Applicants:

  • Applications can be submitted via our online recruiting system only.

  • We appreciate your interest in working with us; however, only those applicants selected for interviews will be contacted.

  • Final candidates for this position may be required to undergo a security screening, including a criminal records check.

To learn more about us, visit www.enbridge.com


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