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Online Data Analytics Jobs in Alberta (NOW HIRING)

Data Elephant is one of Canada's leading Data, Analytics & AI consulting firms, helping organizations modernize their data platforms, unlock business value from data, and accelerate AI adoption. We ...

Support our Business Intelligence and data analytics competency and capabilities. * Design and develop reports fit for the purpose of business requirements. * Change Management * Lead stakeholder ...

Support our Business Intelligence and data analytics competency and capabilities. * Design and develop reports fit for the purpose of business requirements. * Change Management * Lead stakeholder ...

Reporting to the Team Lead, Analytics, you will work closely with internal stakeholders and our analytics team to deliver high-quality, consistent, and scalable data products across multiple ...

... Online, Microsoft Copilot, and AI/document intelligence technologies. * Strong analytical, problem ... Experience with GIS, spatial data, or enterprise mapping systems. * Understanding of asset ...

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Online Data Analytics information

See Alberta salary details

$6

$40

$85

How much do online data analytics jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for online data analytics in Alberta is $40.05, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $56.01 per hour, depending on experience, location, and employer.

What is online data analytics?

Online data analytics refers to the process of collecting, processing, and analyzing data that is generated through online platforms, such as websites, social media, and digital marketing channels. Professionals in this field use specialized tools and techniques to interpret large datasets, identify trends, and provide actionable insights to help businesses improve their online strategies. The role often involves using software like Google Analytics, Python, and SQL to manage and visualize data. Online data analytics is crucial for optimizing digital campaigns, understanding user behavior, and making data-driven decisions.

What are the key skills and qualifications needed to thrive as an online data analyst?

To thrive as an Online Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau or Power BI is typically required, along with certifications like Google Data Analytics. Critical thinking, attention to detail, and effective communication are essential soft skills for translating data insights into actionable business recommendations. These abilities are vital for driving data-informed decisions and delivering value to organizations in digital environments.

How do online data analysts typically collaborate with other departments to drive business decisions?

Online data analysts often work closely with teams such as marketing, product development, and IT to interpret data trends and translate findings into actionable strategies. Regular cross-functional meetings and project-based collaborations are common, ensuring that analytical insights align with business goals. Effective communication skills are essential, as analysts must present complex data in a clear, concise manner to non-technical stakeholders. This collaborative approach not only enhances decision-making but also provides analysts with a broader understanding of business operations.

What is the difference between Online Data Analytics vs Data Analyst?

AspectOnline Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related fields; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data tools
Work EnvironmentRemote or online platforms, often freelance or contract-basedOffice or corporate settings, sometimes remote
Employer & Industry UsageTech companies, e-commerce, digital marketingFinance, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding online analytics roles, freelance opportunitiesTraditional data analysis careers, job requirements

Online Data Analytics focuses on analyzing digital data through online platforms, often in freelance or remote settings. Data Analysts typically work in corporate environments with a broader scope of data types. Both roles require similar skills and educational backgrounds but differ mainly in work environment and industry focus.

Can I become an online data analyst?

Online data analysts analyze data to help organizations make informed decisions and often work remotely. They typically need skills in data analysis tools like Excel, SQL, or Python, and may pursue certifications such as the Microsoft Certified Data Analyst Associate or Google Data Analytics Professional Certificate.

Can I work online as an online data analyst?

Yes, online data analysts can work remotely, often collaborating with teams through cloud-based tools and data analysis software like Excel, SQL, or Python. Many companies offer remote positions that require strong analytical skills, attention to detail, and the ability to communicate findings effectively.

What are the most commonly searched types of Data Analytics jobs in Alberta?

The most popular types of Data Analytics jobs in Alberta are:

Infographic showing various Online Data Analytics job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $83,295 per year, or $40 per hour.

Data Analytics Specialist (REMOTE) JP973

Edmonton, AB โ€ข On-site, Remote

Full-time

Re-posted 16 days ago


Job description

Project Name:
Data Projects
Scope:
The Data and Content Management Division uses a one-government approach to information and privacy governance, decision-making, and service delivery across the Government of Alberta (GoA) balanced with individual client needs. This facilitates enhanced data access, collaboration, reduction in data duplication, and innovation to ensure effective and efficient services across the government to provide better services to Albertans.
The Data Centre of Excellence requires a resource to support the design and development of analytical data products & services to enable the GoA to better leverage its data assets support implementation of the GoA Data Strategy. Working within a team, this resource is an expert, and plays a key role in ensuring high-quality data modeling, applying algorithms, de-identification, synthetic data creation, visualizations and development of evidence for use across ministries and with external stakeholders. This role will enact the pillars of the Data Strategy by using data to benefit Albertans
The successful candidate will be a Data Analytics Specialist / Data Scientist with a diverse range of analytical skills and experience in working in multi-faceted roles. The role may have aspects of any or all the following: data analysis, data science, data modelling, statistical analysis, artificial intelligence (AI) & machine learning (ML), strategizing, advising, data product design and delivery. There may be aspects of data engineering, technical analysis, and business analysis.
Duties:
Provides hands-on support, leadership, advice and direction on the strategic data initiatives that are being undertaken as part of the Data Strategy. A critical responsibility is to coordinate with various internal and external clients to understand their analytics needs and how to use the data to best meet these needs. This resource is an expert in anticipating, identifying and responding to diverse and complex data analytic requirements across GoA departments and from external organizations, while also aligning with other areas of branch and broader department. Services and project deliverables should evolve as the work progresses, in response to emerging user and business needs, as well as design and technical opportunities. Works with Manager Analytics Capability Centre to:

Develop and share analytical models and products.
Provide continuous improvement of analytics capacities.
Design and support development of analytic service offerings.
Analyze and organize raw data, preparing it for prescriptive and predictive modeling, while building algorithms that deliver business value.
Support in development of full-stack data analytics or AI applications as required.
Provide expertise and leadership in the design and competition of analytic projects.
Evaluating business needs, enhancing data quality, and designing analytical tools to support our data services.
Conducting complex data analysis and collaborating with data engineers and analysts on various projects.
Coaching and mentorship team members, fostering a client-centric approach and encouraging innovative solutions.
Working closely with senior management to support a cultural shift toward data as a strategic asset and maintain effective relationships with internal and external stakeholders.
Create and present options, roadmaps, frameworks, models, and briefings for senior executives with regards to analytics services, based on best and emerging practices and principles.
Facilitate strategic conversations to develop shared understanding and generate options for decision-making to align diverse stakeholder interests and goals.
Develop baseline and ongoing outcomes, key results, metrics, and other indicators.
Work as part of a team responsible for the generalizable extraction of knowledge from data by applying various techniques and methodologies including probability models, machine learning, computer programming, statistics, data engineering, pattern recognition and learning, and data visualizations
Apply skills to provide insights, support decision-making and facilitate strategic business planning across the department.
Requires a focus on understanding predictive analytics and needs-based analytics strategies to simplify, consistently produce and re-use analytical models and assets to drive measurable value.
Provide executives and decision-makers with a deeper understanding of their operations, transactions, services and information required for them to identify new opportunities that can be uncovered through analytics.
Provide depth and insights on GoA's data assets and transform them into meaningful analytics for decision making
Bring knowledge of statistical classification techniques such as k-means and hierarchical clustering, partition trees, and logistic regression.
Integrate both quantitative and qualitative data to create business insights.
Design and create dashboards and custom reporting with various data sources and inputs.
Analyze data and prepare results.
Gather and document client requirements.
Capture business and technical metadata for analytical products.
Escalate issues and risks, as appropriate.
Work within a multi-vendor/staff environment.