Job Title: Data Analytics Specialist
Duration: 12 Months
Location: Remote
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.
Deliverables:
• Specific deliverables and due dates will be determined by the client team in conjunction with project management.
• Status reports - weekly and monthly.
| Must Have |
| Bachelor degree in Computer Science or related field of study equivalencies will be considered. |
| Experience and comprehensive skills in using statistical and computer languages, e.g. R, Python, SQL |
| 6 years of experience |
| Experience in building analytical and quantitative analysis models. |
| 6 years of experience |
| Experience in preparing data for prescriptive and predictive modelling |
| 6 years of experience |
| Experience in understanding complex businesses questions and framing the right analytical question to solve a business problem. |
| 5 years of experience |
| Experience with and understanding of different approaches and methods for data analytics and data science (e.g. complex statistical modelling). |
| 6 years of experience |
| Experience with and understanding of statistical and data mining techniques to address key business issues. |
| 6 years of experience |
| Experience with Artificial Intelligence (AI) or Machine Learning (ML) applied to data science or analytics, such as using ML for anomaly detection, predictive monitoring, or AI-assisted data transformation and automation. |
| 6 years of experience |
| Nice To Have |
| Experience and knowledge of data sharing, data-linkage, de-identification, metadata, data quality, ethics, synthetic data and data literacy and how to promote use of government data. |
| 5 years of experience |
| Experience building and deploying end to end analytical or AI enabled applications, from data ingestion and modeling through to user facing solutions using modern web frameworks (e.g., React.js, Vue.js, or similar), enabling intuitive consumption of data and insights. |
| 2 years of experience |
| Experience combining raw data from a variety of data sources within and across domains. |
| 5 years of experience |
| Experience dealing with clients and explaining complex data principles in a thoughtful manner. |
| 5 years of experience |
| Experience designing and maintaining data pipelines, data analytics workflows, or data product workflows. |
| 2 years of experience |
| Experience preparing visualizations, dashboards, and analytical models |
| 5 years of experience |
| Experience utilizing big data technologies (e.g., Hadoop, Spark) or cloud platforms (e.g. Azure, Snowflake) |
| 3 years of experience |
| Experience working with large government datasets. |
| 3 years of experience |
Equipment Requirements:
Resource must provide their own computer and related equipment including software, printer, supplies, desks and chairs. The computer's operating system must be a modern version of Windows or MacOS that is compatible with Azure Virtual Desktop (AVD) and related software for remote access. Windows is preferred due to better compatibility. AVD/remote-related software will be installed on the resource's computer.
However, the Province shall ensure that the Contractor's resources have the necessary access and credentials to the Government of Alberta's system. In the event that, the Contractor's resources are directed to work in-person, the Province shall provide the requisite office space, furniture and office supplies. The Contractor shall continue to be responsible for providing computers and software and the Province shall continue to ensure that the Contractor's resources have the necessary access and credentials to the Government of Alberta's system. The fixed rate quoted must be inclusive of all overhead, office space and equipment, including supplies, administrative burden, mark-up and all other costs to perform the Services for the duration of the Contract.
Working Hours:
• Standard Hours of work are 08:15 – 16:30 Alberta time, Monday through Friday excluding holidays observed by the Province
• Work must be done from within Canada, due to network and data security issues.
Location:
The role will be remotely, however in the event of an on-site meeting, the GoA does not pay for travel to attend on-site meetings, nor any expenses related to relocation, commuting, housing/accommodation and food/drink. The resource must be available for onsite meetings when required. Onsite meetings include but are not limited to strategic, analytical, and technical discussions, meeting with team members, senior managers, directors, executive directors, and business clients. Frequency of meeting could be up to 3-4 times per fiscal year. Actual onsite attendance may be negotiable, particularly if resource lives outside Alberta.
Incumbency:
• This is a net new role.
Background Check Required:
Standard Background Check:
• The Supplier shall, prior to commencement of the Services, provide the Province, on its request and at no cost to the Province, with criminal record checks.
Mandatory Training Courses:
• Once hired the resource will be required to complete all mandatory training which includes but not limited to Freedom of Information and Protection of Privacy Act and Security awareness training. There may also be some optional courses as well.
Anticipated Interviews Dates
•Interviews will be held between ( 27 - 31 July, 2026). This is an estimate only.
Scoring Methodology:
Financial/Pricing: 20%
Resource Qualifications: 20%
Interview Process: 60%
SUBMISSION MUST INCLUDE:
• RESUME
• ALL REQUIRED EXPERIENCE MUST BE DESCRIBED IN RESUME UNDER THE JOB/PROJECT WHERE EXPERIENCE WAS ATTAINED.
• EACH JOB/PROJECT MUST CONTAIN THE TERM OF THE JOB/PROJECT IN THE FORMAT MMM/YYYY to MMM/YYYY.
• RESOURCE REFERENCES
• Three references, for whom similar work has been performed, must be provided. The most recent reference should be listed first. Reference checks may or may not be completed to assist with scoring of the proposed resource.
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