Data Analytics Specialist JP973

P@thlion Staffing Careers; Edmonton; On-site; CAD 90,000 - 120,000; Full time

Job summary

P@thlion Staffing Careers supports the Government of Alberta Data Centre of Excellence in designing and delivering analytical data products and services. The role focuses on high-quality data modelling, applying algorithms, de-identification, synthetic data creation, and creating visualisations for evidence across ministries and external stakeholders.

Working within a team, you will coordinate with clients, mentor staff, and contribute to building prescriptive and predictive analytics leveraging

Qualifications

• Experience in data analytics within a government or large-scale public sector context.
• Strong data governance, de-identification, and privacy principles.
• Ability to design and develop analytical data products and services.

Responsibilities

• Provide hands-on leadership on strategic data initiatives within the GoA Data Strategy.
• Coordinate with internal/external clients to understand analytics needs and deliver data solutions.
• Develop analytic models, dashboards and reporting across ministries.
• Mentor team members and foster client-centric, innovative analytics.
• Collaborate with data engineers and analysts on complex projects.

Skills

Data modelling

Algorithms

Data visualization

Stakeholder communication

Mentorship

Statistical methods

Python

SQL

Education

Bachelor's degree in data science, statistics, or computer science

Tools

Python

SQL

R

Tableau/Power BI

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.

Role Overview

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 modelling, applying algorithms, de‑identification, synthetic data creation, visualisations 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.

Responsibilities

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 organise raw data, preparing it for prescriptive and predictive modelling, 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 generalisable 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 visualisations.
• 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.
• Analyse 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.