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Executive Data Analytics Jobs in Alberta (NOW HIRING)

Data Elephant is one of Canada's leading Data, Analytics & AI consulting firms, helping ... Bridges the gap between executives, business users, and technical teams. * Is passionate about ...

Engage with the key functional leaders (executives and non-executives) demonstrating a deep understanding of their needs and the ways in which data analytics products and services can be applied to ...

Subject matter expertise in data storage, data management, data analytics and other IT services. ... executives. A successful track record of managing and closing complex sales campaigns, using ...

Identify and develop relationships with organizations that depend on spatial data for operations, analytics, or decision-making, from individual technical champions to executive sponsors. Lead ...

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Executive Data Analytics information

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often executive-level positions such as Chief Data Officer (CDO) or Vice President of Data Analytics, which can offer salaries exceeding $200,000 annually. These roles typically require extensive experience, advanced skills in data strategy, and leadership capabilities, often supported by certifications like Certified Analytics Professional (CAP) or advanced degrees.

How does an Executive Data Analytics professional typically collaborate with other departments to drive business strategy?

Executive Data Analytics professionals often work closely with leaders across marketing, finance, operations, and IT to translate complex data insights into strategic business decisions. They facilitate cross-functional meetings, present actionable findings, and recommend data-driven initiatives that align with organizational goals. This role requires strong communication and leadership skills, as executives must bridge the gap between technical data teams and non-technical stakeholders, ensuring everyone understands and acts on key insights.

What are the key skills and qualifications needed to thrive as an Executive in Data Analytics, and why are they important?

To thrive as an Executive in Data Analytics, you need expertise in data analysis, statistical modeling, and data-driven decision-making, usually supported by an advanced degree in data science, statistics, or a related field. Familiarity with analytics platforms such as Tableau, Power BI, SQL, and cloud-based data systems, along with certifications like Certified Analytics Professional (CAP), is typically required. Strong leadership, strategic thinking, and communication skills distinguish top performers by enabling them to translate complex data insights for stakeholders and drive organizational change. These skills are critical for aligning analytics initiatives with business goals and delivering measurable value.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the near future.

What is a data analyst executive?

A data analyst executive is a senior professional responsible for overseeing data analysis activities within an organization. They typically lead teams, develop data strategies, and use tools like SQL, Python, or Tableau to inform business decisions. Strong leadership, strategic thinking, and advanced analytical skills are essential for this role.

What is an Executive Data Analytics professional?

An Executive Data Analytics professional is a senior leader responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision-making processes. They manage teams of analysts and data scientists, align analytics projects with business goals, and ensure the effective use of data to drive growth and innovation. Their role typically involves collaborating with other executives, setting data governance policies, and identifying opportunities for leveraging data to improve performance and competitive advantage.
What are the most commonly searched types of Data Analytics jobs in Alberta? The most popular types of Data Analytics jobs in Alberta are:
What cities in Alberta are hiring for Executive Data Analytics jobs? Cities in Alberta with the most Executive Data Analytics job openings:

Data Analytics Specialist (REMOTE) JP973

P@thlion Staffing Careers

Edmonton, AB โ€ข On-site, Remote

Full-time

Posted 19 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.