164 Data Visualization jobs in Canada
Data Visualization Specialist
Posted 3 days ago
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Job Description
Data Visualization Specialist Apply now » Apply now Start applying with LinkedIn
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Apply now × Apply for Job × × × Enter your email to apply Date: Sep 25, 2025
Location: Montreal, QC, CA, H3B 4T9
Company: Deloitte
Job Type: Permanent
Work Model: Hybrid
Reference code:
Primary Location: Montreal, QC
All Available Locations: Montreal, QC; Fredericton, NB; Moncton, NB; Saint John, NB
Our Purpose
At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.
By living our Purpose, we will make an impact that matters.
Have many careers in one Firm.
Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
Learn from deep subject matter experts through mentoring and on the job coaching
--
You love to solve complex business problems, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data and design to make impact that matters - if that is you, then Omnia AI is where you want to be.
What will your typical day look like? You will be responsible for conducting detailed requirements gathering sessions and articulating client needs within briefing documentation. Responsible for designing and developing interactive data visualizations that adhere to Information Design best practices and communicate business insights back to clients. Collaborating extensively with clients and other Deloitte teams. Liaising with data science and data architecture team members to optimize client data for visualization purposes. Managing project timelines and client deliverables. Candidates with experience creating visualizations for Financial Services, Public Sector, Healthcare, Consumer or Energy & Resource sectors are preferred.
About the team AI&Data, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.
Our Data & Analytics Modernization team helps clients design, architect, and implement the data platforms - be it in the cloud or on-premise - required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.
Enough about us, let’s talk about you You are someone with:
University or college degree, preferably within the disciplines of statistics, mathematics, computer science, geospatial analysis or graphic/communication design
Strong working knowledge of Tableau, MS Power BI, and/or other data visualization software
Minimum of 2+ years applying Information Design best practices to create static or interactive visualizations for client deliverables
Strong presentation and communication skills to facilitate workshops and convey ideas and concepts to various target groups in both functional and technical roles
A passion for quality visual design and user experience
Data visualization portfolio
Good working knowledge of Adobe Creative Suite (InDesign, Illustrator) is a plus
Knowledge of SQL, JS and D3 is a plus
Bilingual (English / French)
If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.
Total Rewards
The salary range for this position is $57,000 - $02,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.
Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: 4,000 per year for mental health support benefits, a 1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.
Our promise to our people: Deloitte is where potential comes to life.
Be yourself, and more.
We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.
You shape how we make impact.
Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.
Be the leader you want to be
Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.
Have as many careers as you want.
We are uniquely able to offer you new challenges and roles - and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.
The next step is yours
At Deloitte, we are all about doing business inclusively - that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan , Reconciliation Action Plan and the BlackNorth Initiative .
We encourage you to connect with us at if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).
By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.
Job Segment: QC, Cloud, Data Architect, Computer Science, GIS, Quality, Technology, Data
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Data Visualization Specialist
Posted 3 days ago
Job Viewed
Job Description
Posting End Date:
October 07, 2025
Employee Type:
Regular-Full time
Union/Non:
This is a non-union position
As a Data Visualization Specialist, you will help mature the area of Technical Training performance measurement and analytics to develop incremental value for the organization. This role provides all reporting and analysis business intelligence to Enbridge Gas Ontario Technical Training for the tracking, evaluation and continuous improvement of training offered to employees. This role uses specific expertise in Data Analytics, Power Apps, Power BI, and SharePoint training content management.
What You Will Do Build, develop, and implement interactive Power BI reports and dashboards that offer actionable insights to stakeholders.
Build and maintain applications using Power Apps
Act as a liaison between technical teams and business users to ensure that Power BI solutions meet organizational needs.
Perform analysis within Power BI to identify trends, patterns, and correlations between different variables.
Engage with business departments to analyze, compare, and standardize key performance measures, ensuring alignment and consistency in reporting across the organization.
Perform detailed analysis to identify and measure factors impacting Technical Training efficiency and address key business challenges.
Establish and monitor scorecards and performance dashboard metrics to ensure incremental progress towards Technical Training excellence.
Collaborate with a network of subject matter experts across the Enterprise specializing in data analytics.
Independently initiate analysis and data auditing initiatives to ensure records integrity and resolve issues throughout the Technical Training processes.
Support team members in managing training content for technical training.
Work together with collaborators from all levels of the business to build, measure, and validate reporting for key performance indicators.
Who You Are Related university degree with 7+ years of experience OR equivalent combination of education, certification and experience.
Excellent communication, presentation, problem solving, interpersonal and analytical skills.
Strong report development and data modelling skills.
Ability to synthesize large amount of business data and derive insights and recommendations.
Ability to identify innovative reporting solutions to enhance business effectiveness and efficiency.
Expertise in Power Apps & Power BI for crafting interactive reports and dashboards.
Strong ability to write, optimize, and troubleshoot complex SQL queries
Familiarity with data warehousing concepts and ETL processes.
Working Conditions Office environment
Minimal travel to surrounding offices
FlexWork Enbridge offers diverse workplace initiatives that set us apart and provide flexibility for our staff. The FlexWork program allows eligible employees to choose variable daily schedules, a compressed workweek, or work from home twice a week based on role requirements. #LI-Hybrid
At Enbridge, we are dedicated to our core value of Inclusion. We are proud to be an 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 .
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
Intern, Data visualization (Winter 2026)
Posted 16 days ago
Job Viewed
Job Description
Bombardier is a global leader in aviation, creating innovative and game-changing planes. Our products and services provide world-class experiences that set new standards in passenger comfort, energy efficiency, reliability and safety. We are a global organization focused on working together with a team spirit.
**Your boarding pass will include.**
Several conferences, including:
+ Meet An Executive
+ Women Taking Flight
Learning more about Bombardier, including:
+ Bombardier Products conference
+ Visits of the Bombardier sites
+ Bombardier Academy of Learning
Many social/networking opportunities, including:
+ Volunteering
+ Networking for Success
+ 5 à 7, Potluck, and much more!
**What are your contributions to the team?**
+ Work with the planning and inventory management teams, as well as our technical team composed of a data engineer and a business intelligence analyst, to produce dashboards related to inventory management and spare parts demand governance.
+ Create and improve Power BI dashboards:
+ Used as decision-making tools by the management team, providing an overview of process health to choose the appropriate recovery plan.
+ To help teams detect anomalies and opportunities in stock management and planning.
+ In collaboration with inventory control analysts:
+ Organize, improve, and automate existing dashboards to provide better visibility of daily and monthly inventory levels compared to the planned budget.
+ Reduce manual work.
+ Develop tools and perform analyses within Power BI to optimize report performance by improving the data lifecycle from collection to their use in dashboards.
**How to thrive in this role?**
+ You are full time enrolled in a master's degree in business intelligence or any other equivalent field of study.
+ You physically located in the Montreal area and available to come to work 2 full days per week.
+ You have a strong interest in data transformation and business intelligence.
+ You have strong skills in the use of data visualization tool such a Tableau and Power BI.
+ You speak and write in French and English.
+ You are autonomous and have resourceful spirit
+ You have good communication skills.
+ You have good ability to learn and adapt.
**Boarding Information:**
+ Location: Administrative Centre (CA)
+ Duration: 8 months
+ Flexible workplace-Hybrid
_It is important to note that our internship opportunities are open to students only, not new graduates. All our interns may be required to occasionally travel outside of Canada for training/work purpose._
Sr. Data Scientist working with large scale data to perform data visualization, statistical modellin
Posted 3 days ago
Job Viewed
Job Description
6 months to start
Occasional workshops in the office as need (Downtown Toronto)
1 round of interview
Scope: Our mining client is looking to set up their data and analytics team within Canada. They are looking to take a lead on data platforms and foundations and create unique capabilities for our client
Must haves:
7+ years as a data scientist with experience working with Python (pandas, scikit-learn, XGBoost, PyTorch/TensorFlow) and SQL
ML lifecycle tools (MLflow, DVC, SageMaker) and Advanced statistical modeling (time series, causal inference, A/B testing)
Large-scale data (Snowflake, BigQuery, Databricks)
Visualization (Power BI, Tableau, Plotly Dash)
Exposure to MLOps (CI/CD, model monitoring
Mining experience highly preferred
Soft skills
- Business acumen and domain understanding
- Experimentation mindset
- Communication and storytelling
- Cross-functional collaboration
- Awareness of AI ethics and bias
- Apply
Business Intelligence and Data Analytics Developer
Posted today
Job Viewed
Job Description
Job Description
Salary:
Business Intelligence and Data Analytics Developer
Olsen Consulting specializes in the implementation and optimization of enterprise resource management systems, particularly Vista ERP, for high-revenue construction companies across North America. As a trailblazer in the industry, our goal is to propel our clients toward digital transformation by automating and enhancing their business processes. We are committed to driving impactful changes through data analytics and technology, harnessing our collective expertise, innovation, and commitment to excellence. To further our mission, we are on the lookout for an exceptionally skilled Business Intelligence and Data Analytics Consultant to join our elite team of professionals.
Key Responsibilities
- Collaborate with cross-functional teams to analyze and address client challenges, and apply innovative solutions for business process improvements.
- Design, implement, and deploy analytics solutions leveraging tools and languages such as Power BI, SQL, VBA, Python, DAX, and Power Query.
- Conduct in-depth data analyses and forecasting to identify patterns, trends, and insights that inform decision-making at multiple levels.
- Develop interactive dashboards for a range of business functions, delivering actionable insights to key stakeholders.
- Lead efforts in problem-solving, investigation, and analyses, providing informed recommendations to clients.
- Create and maintain thorough, timely documentation related to software and analytics tasks.
- Deliver training on data interpretation and analytical techniques to internal and external stakeholders.
Qualifications and Experience
- A minimum of 5 years' experience in the realms of data analytics, automation, and business intelligence.
- Proficiency in a broad range of data analytics tools such as Excel, Python, Power BI, HANA, and SSMS.
- High level of competency in SQL, VBA, Power Query, DAX, Python
- Experience with ERP systems like SAP, Vista Viewpoint, and QAD is a strong plus.
- Strong attention to detail, exceptional problem-solving skills, and a proven track record in a consulting environment.
- Ability to demonstrate skills highly preferred.
- Eligible to work in Canada.
Skills
- Excellent verbal and written communication abilities.
- Mastery of data management techniques and SQL optimization.
- Proven leadership and project management skills.
- High level of integrity and ability to handle the confidentiality of sensitive information.
- Capability to manage multiple projects and deadlines across varied clients.
Benefits of Working at Olsen Consulting
- A team environment that thrives on intellectual curiosity, continuous learning, and high-performance
- Remote work flexibility to maintain work-life balance.
- Defined pathways for career growth and professional development.
- Comprehensive benefits package.
- Paid sick/personal days and competitive salaries.
- Open communication lines for transparent and constructive dialogue.
- A positive, encouraging work environment
- Opportunity for overtime banking to optimize your work hours.
Olsen Consulting is committed to recognizing the dignity and worth of every individual, offering equitable rights and opportunities to all our employees. We foster a culture of understanding and mutual respect.
If you are highly motivated, committed to continual learning, and excited to be a part of a growing firm, we invite you to submit your resume and cover letter. Please articulate why you are a remarkable candidate and what you are seeking from your next career move and employer.
We appreciate the interest of all applicants, but only those shortlisted will be contacted.
Data Analytics Specialist
Posted 1 day ago
Job Viewed
Job Description
Aramco energizes the world economy.
Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer.
With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society.
Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.
We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.
Position description
We are seeking Data Analytics Specialist to join our Digital Engineering Solutions Division under Process & Control Systems Department.
Process and Control Systems Department provides services in the field of process engineering, automation, new energy and digitalization to various entities within Aramco.
As a Data Analytics Engineer your role will be to lead innovation within the business and define how the business creates additional value through the utilization of its data assets and analytics. You will identify and solve strategic and tactical analytic business problems to enhance operational efficiency.
Duties and Responsibilities
As a successful candidate you will be required to perform the following:
- Identify and develop advanced analytics use cases to resolve complex technical challenges, optimize processes, enhance revenue, ensure environmental sustainability, and improve safety.
- Drive ideas from conception to production using best-in-class Machine Learning Operations (MLOps) and Development Operations (DevOps) practices.
- Develop and optimize Machine Learning (ML) models and pipelines, ensuring their efficient deployment, monitoring, and scaling.
- Explore diverse data sources to improve predictive modeling and optimize business strategies.
- Assess Artificial Intelligence (AI) tools and methods for data analysis, enhancing business impact and decision-making.
- Implement predictive modeling techniques to optimize production facilities, revenue streams, and operational efficiencies.
- Generate documentation in line with established standards to support the development and deployment process.
- Collaborate with cross-functional teams, including IT, engineering, and business stakeholders, to drive data-driven solutions.
- Contribute to technical task forces investigating incidents and solving domain-specific problems using AI/ML techniques.
- Publish research papers for peer-reviewed journals and presents findings to other organizations and conferences to advance industry knowledge.
- Promotes a learning environment through knowledge-sharing, and fosters a culture of continuous learning and innovation.
- Provide leadership and mentorship to junior team members and specialists.
Minimum Requirements
As a successful candidate you will hold a:
- Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. An advanced degree (Master’s or PhD) focused on Data Science, AI, or ML Engineering with a background in Engineering is highly preferred.
- 20 years of overall experience, with hands-on experience in Data Science, Natural Language Processing (NLP), Computer Vision, and/or ML projects in the industry.
- Expertise in MLOps, DevOps, AIOps, DataOps and related operational frameworks for model deployment, monitoring, and automation.
- Experience in data collection, cleaning, preprocessing, and wrangling for industry-related problems based on domain knowledge.
- Proficiency in Platforms such as Python, R, SQL, SAS, Scala, and cloud platforms such as Azure and Google Cloud (Vertex AI).
- Expertise in visualization tools and packages; User Interface (UI) experience with Power Business Intelligence (Power BI) or similar tools.
- Experience with IT architecture and deploying models in on-prem environments.
- Strong understanding of continuous integration / continuous deployment (CI/CD) pipelines, containerization (Docker, Kubernetes), and automation frameworks.
- Demonstrated ability to publish research or contribute to industry knowledge through journal papers, conference proceedings, or whitepapers.
Job Post Duration
Job posting start date: 07/10/2025
Job posting end date: 12/31/2025
Working environment
Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.
At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development.
We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.
Data Analytics Specialist
Posted 1 day ago
Job Viewed
Job Description
Aramco energizes the world economy.
Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer.
With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society.
Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.
We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.
Position description
We are seeking Data Analytics Specialist to join our Digital Engineering Solutions Division under Process & Control Systems Department.
Process and Control Systems Department provides services in the field of process engineering, automation, new energy and digitalization to various entities within Aramco.
As a Data Analytics Engineer your role will be to lead innovation within the business and define how the business creates additional value through the utilization of its data assets and analytics. You will identify and solve strategic and tactical analytic business problems to enhance operational efficiency.
Duties and Responsibilities
As a successful candidate you will be required to perform the following:
- Identify and develop advanced analytics use cases to resolve complex technical challenges, optimize processes, enhance revenue, ensure environmental sustainability, and improve safety.
- Drive ideas from conception to production using best-in-class Machine Learning Operations (MLOps) and Development Operations (DevOps) practices.
- Develop and optimize Machine Learning (ML) models and pipelines, ensuring their efficient deployment, monitoring, and scaling.
- Explore diverse data sources to improve predictive modeling and optimize business strategies.
- Assess Artificial Intelligence (AI) tools and methods for data analysis, enhancing business impact and decision-making.
- Implement predictive modeling techniques to optimize production facilities, revenue streams, and operational efficiencies.
- Generate documentation in line with established standards to support the development and deployment process.
- Collaborate with cross-functional teams, including IT, engineering, and business stakeholders, to drive data-driven solutions.
- Contribute to technical task forces investigating incidents and solving domain-specific problems using AI/ML techniques.
- Publish research papers for peer-reviewed journals and presents findings to other organizations and conferences to advance industry knowledge.
- Promotes a learning environment through knowledge-sharing, and fosters a culture of continuous learning and innovation.
- Provide leadership and mentorship to junior team members and specialists.
Minimum Requirements
As a successful candidate you will hold a:
- Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. An advanced degree (Master’s or PhD) focused on Data Science, AI, or ML Engineering with a background in Engineering is highly preferred.
- 20 years of overall experience, with hands-on experience in Data Science, Natural Language Processing (NLP), Computer Vision, and/or ML projects in the industry.
- Expertise in MLOps, DevOps, AIOps, DataOps and related operational frameworks for model deployment, monitoring, and automation.
- Experience in data collection, cleaning, preprocessing, and wrangling for industry-related problems based on domain knowledge.
- Proficiency in Platforms such as Python, R, SQL, SAS, Scala, and cloud platforms such as Azure and Google Cloud (Vertex AI).
- Expertise in visualization tools and packages; User Interface (UI) experience with Power Business Intelligence (Power BI) or similar tools.
- Experience with IT architecture and deploying models in on-prem environments.
- Strong understanding of continuous integration / continuous deployment (CI/CD) pipelines, containerization (Docker, Kubernetes), and automation frameworks.
- Demonstrated ability to publish research or contribute to industry knowledge through journal papers, conference proceedings, or whitepapers.
Job Post Duration
Job posting start date: 07/10/2025
Job posting end date: 12/31/2025
Working environment
Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.
At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development.
We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.
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Data Analytics Specialist
Posted 1 day ago
Job Viewed
Job Description
Aramco energizes the world economy.
Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer.
With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society.
Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.
We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.
Position description
We are seeking Data Analytics Specialist to join our Digital Engineering Solutions Division under Process & Control Systems Department.
Process and Control Systems Department provides services in the field of process engineering, automation, new energy and digitalization to various entities within Aramco.
As a Data Analytics Engineer your role will be to lead innovation within the business and define how the business creates additional value through the utilization of its data assets and analytics. You will identify and solve strategic and tactical analytic business problems to enhance operational efficiency.
Duties and Responsibilities
As a successful candidate you will be required to perform the following:
- Identify and develop advanced analytics use cases to resolve complex technical challenges, optimize processes, enhance revenue, ensure environmental sustainability, and improve safety.
- Drive ideas from conception to production using best-in-class Machine Learning Operations (MLOps) and Development Operations (DevOps) practices.
- Develop and optimize Machine Learning (ML) models and pipelines, ensuring their efficient deployment, monitoring, and scaling.
- Explore diverse data sources to improve predictive modeling and optimize business strategies.
- Assess Artificial Intelligence (AI) tools and methods for data analysis, enhancing business impact and decision-making.
- Implement predictive modeling techniques to optimize production facilities, revenue streams, and operational efficiencies.
- Generate documentation in line with established standards to support the development and deployment process.
- Collaborate with cross-functional teams, including IT, engineering, and business stakeholders, to drive data-driven solutions.
- Contribute to technical task forces investigating incidents and solving domain-specific problems using AI/ML techniques.
- Publish research papers for peer-reviewed journals and presents findings to other organizations and conferences to advance industry knowledge.
- Promotes a learning environment through knowledge-sharing, and fosters a culture of continuous learning and innovation.
- Provide leadership and mentorship to junior team members and specialists.
Minimum Requirements
As a successful candidate you will hold a:
- Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. An advanced degree (Master’s or PhD) focused on Data Science, AI, or ML Engineering with a background in Engineering is highly preferred.
- 20 years of overall experience, with hands-on experience in Data Science, Natural Language Processing (NLP), Computer Vision, and/or ML projects in the industry.
- Expertise in MLOps, DevOps, AIOps, DataOps and related operational frameworks for model deployment, monitoring, and automation.
- Experience in data collection, cleaning, preprocessing, and wrangling for industry-related problems based on domain knowledge.
- Proficiency in Platforms such as Python, R, SQL, SAS, Scala, and cloud platforms such as Azure and Google Cloud (Vertex AI).
- Expertise in visualization tools and packages; User Interface (UI) experience with Power Business Intelligence (Power BI) or similar tools.
- Experience with IT architecture and deploying models in on-prem environments.
- Strong understanding of continuous integration / continuous deployment (CI/CD) pipelines, containerization (Docker, Kubernetes), and automation frameworks.
- Demonstrated ability to publish research or contribute to industry knowledge through journal papers, conference proceedings, or whitepapers.
Job Post Duration
Job posting start date: 07/10/2025
Job posting end date: 12/31/2025
Working environment
Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.
At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development.
We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.
Data Analytics Specialist
Posted 1 day ago
Job Viewed
Job Description
Aramco energizes the world economy.
Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer.
With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society.
Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.
We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.
Position description
We are seeking Data Analytics Specialist to join our Digital Engineering Solutions Division under Process & Control Systems Department.
Process and Control Systems Department provides services in the field of process engineering, automation, new energy and digitalization to various entities within Aramco.
As a Data Analytics Engineer your role will be to lead innovation within the business and define how the business creates additional value through the utilization of its data assets and analytics. You will identify and solve strategic and tactical analytic business problems to enhance operational efficiency.
Duties and Responsibilities
As a successful candidate you will be required to perform the following:
- Identify and develop advanced analytics use cases to resolve complex technical challenges, optimize processes, enhance revenue, ensure environmental sustainability, and improve safety.
- Drive ideas from conception to production using best-in-class Machine Learning Operations (MLOps) and Development Operations (DevOps) practices.
- Develop and optimize Machine Learning (ML) models and pipelines, ensuring their efficient deployment, monitoring, and scaling.
- Explore diverse data sources to improve predictive modeling and optimize business strategies.
- Assess Artificial Intelligence (AI) tools and methods for data analysis, enhancing business impact and decision-making.
- Implement predictive modeling techniques to optimize production facilities, revenue streams, and operational efficiencies.
- Generate documentation in line with established standards to support the development and deployment process.
- Collaborate with cross-functional teams, including IT, engineering, and business stakeholders, to drive data-driven solutions.
- Contribute to technical task forces investigating incidents and solving domain-specific problems using AI/ML techniques.
- Publish research papers for peer-reviewed journals and presents findings to other organizations and conferences to advance industry knowledge.
- Promotes a learning environment through knowledge-sharing, and fosters a culture of continuous learning and innovation.
- Provide leadership and mentorship to junior team members and specialists.
Minimum Requirements
As a successful candidate you will hold a:
- Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. An advanced degree (Master’s or PhD) focused on Data Science, AI, or ML Engineering with a background in Engineering is highly preferred.
- 20 years of overall experience, with hands-on experience in Data Science, Natural Language Processing (NLP), Computer Vision, and/or ML projects in the industry.
- Expertise in MLOps, DevOps, AIOps, DataOps and related operational frameworks for model deployment, monitoring, and automation.
- Experience in data collection, cleaning, preprocessing, and wrangling for industry-related problems based on domain knowledge.
- Proficiency in Platforms such as Python, R, SQL, SAS, Scala, and cloud platforms such as Azure and Google Cloud (Vertex AI).
- Expertise in visualization tools and packages; User Interface (UI) experience with Power Business Intelligence (Power BI) or similar tools.
- Experience with IT architecture and deploying models in on-prem environments.
- Strong understanding of continuous integration / continuous deployment (CI/CD) pipelines, containerization (Docker, Kubernetes), and automation frameworks.
- Demonstrated ability to publish research or contribute to industry knowledge through journal papers, conference proceedings, or whitepapers.
Job Post Duration
Job posting start date: 07/10/2025
Job posting end date: 12/31/2025
Working environment
Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.
At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development.
We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.