1

Data And Analytics Manager Jobs in Alberta (NOW HIRING)

... Manager, Commercial Analytics to play a critical role in shaping our commercial strategy. This ... If you are passionate about power markets, quantitative analysis, and driving value through data ...

... data platform modernization initiatives. * Help clients identify and prioritize analytics and AI use cases. * Contribute to business cases and roadmap development. * Assist with change management and ...

... management systems is considered an asset. * Experience working within governed analytics ... Understanding of data lake concepts * Demonstrated ability to work with raw data, assess data ...

Build and manage GCP resources using Pulumi and YAML configurations, and maintain code in GitHub. * Advanced Analytics & Insights: Conduct in-depth exploratory data analysis and apply statistical ...

Build and manage GCP resources using Pulumi and YAML configurations, and maintain code in GitHub. * Advanced Analytics & Insights: Conduct in-depth exploratory data analysis and apply statistical ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As anAI & Advanced Analytics, Senior Manager,unlock your potential and embrace the chance to drive ...

next page

Showing results 1-20

Data And Analytics Manager information

What are the key skills and qualifications needed to thrive as a Data and Analytics Manager, and why are they important?

To thrive as a Data and Analytics Manager, you need expertise in data analysis, statistical modeling, and business intelligence, often supported by a degree in a quantitative field and experience in data management. Proficiency with tools like SQL, Python, Tableau, and data warehousing systems, as well as relevant certifications such as Certified Analytics Professional (CAP), is highly valuable. Strong leadership, communication, and problem-solving skills set top performers apart by enabling them to translate complex data insights into actionable business strategies. These skills are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

What are top 3 soft skills for a data analyst?

For a Data and Analytics Manager, the top three soft skills for a data analyst are communication, critical thinking, and collaboration. These skills enable analysts to interpret data effectively, present insights clearly, and work well within teams to support decision-making. Strong interpersonal skills and adaptability are also valuable in dynamic data environments.

What are some common challenges faced by Data and Analytics Managers when implementing data-driven initiatives in organizations?

Data and Analytics Managers often encounter challenges such as integrating data from disparate sources, ensuring data quality and governance, and aligning data strategies with business goals. They must also navigate organizational resistance to change, educate stakeholders on the value of analytics, and stay updated on rapidly evolving technologies. Successfully overcoming these challenges requires strong communication, project management skills, and a proactive approach to stakeholder engagement.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a Data and Analytics Manager involves interpreting complex data, making strategic decisions, and communicating insights, which require human judgment and domain expertise. AI is a complement to data analysts, enhancing productivity rather than fully replacing them. Skills in data visualization, critical thinking, and understanding business context remain essential for the role.

What does a data analytics manager do?

A data analytics manager oversees the collection, analysis, and interpretation of data to support business decision-making. They lead data teams, develop analytics strategies, and use tools like SQL, Python, or Tableau to generate insights that improve organizational performance.

What is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Chief Data Officer, Data Science Director, and Senior Data Scientist, often requiring advanced skills in machine learning, big data tools, and leadership. These positions can offer six-figure salaries, especially in large organizations or industries like finance and technology.

What are Data and Analytics Managers?

Data and Analytics Managers are professionals responsible for overseeing an organization's data strategy, including data collection, storage, analysis, and reporting. They manage teams of data analysts and data scientists, ensuring data quality and developing insights that inform business decisions. Their role often involves collaborating with other departments to identify data needs, selecting appropriate tools and technologies, and ensuring compliance with data governance policies. Data and Analytics Managers play a crucial role in helping companies leverage data to drive growth and efficiency.
What are popular job titles related to Data And Analytics Manager jobs in Alberta? For Data And Analytics Manager jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data And Analytics Manager jobs in Alberta look for? The top searched job categories for Data And Analytics Manager jobs in Alberta are:
What cities in Alberta are hiring for Data And Analytics Manager jobs? Cities in Alberta with the most Data And Analytics Manager job openings:
Infographic showing various Data And Analytics Manager job openings in Alberta as of July 2026, with employment types broken down into 50% Full Time, 25% Temporary, and 25% Contract. Highlights an 100% In-person job distribution.

Data Analytics Specialist (REMOTE) JP973

P@thlion Staffing Careers

Edmonton, AB โ€ข On-site, Remote

Full-time

Posted 13 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.