Job Title: Data Analytics Specialist
Location: Remote (Within Canada)
Job Type: Contract
Duration: 12 Months
Shift: Standard Business Hours
Schedule: Monday–Friday, 8:15 AM–4:30 PM Alberta time
Pay Rate: CAD $60–$70/hour
Note: This job doesn't offer any benefits.
Position Overview
We are seeking a Data Analytics Specialist to develop analytical data products, statistical models, and AI-driven solutions that support data-informed decision-making across the Government of Alberta.
Required Qualifications
Bachelor's degree in Computer Science or a related field. Equivalent qualifications will be considered.
6 years of experience using statistical and programming languages, including R, Python, and SQL.
6 years of experience building analytical and quantitative models.
6 years of experience preparing data for prescriptive and predictive modeling.
5 years of experience understanding complex business questions and translating them into analytical problems.
6 years of experience with data analytics and data science methodologies, including complex statistical modeling.
6 years of experience applying statistical and data-mining techniques to address business challenges.
6 years of experience with Artificial Intelligence (AI) or Machine Learning (ML) applied to data science or analytics.
Preferred Qualifications
5 years of experience with data sharing, data linkage, de-identification, metadata, data quality, data ethics, synthetic data, and data literacy.
2 years of experience building and deploying end-to-end analytical or AI-enabled applications using modern web frameworks such as React.js or Vue.js.
5 years of experience combining raw data from multiple sources and domains.
5 years of experience explaining complex data concepts to clients and stakeholders.
2 years of experience designing and maintaining data pipelines, analytics workflows, or data product workflows.
5 years of experience developing visualizations, dashboards, and analytical models.
3 years of experience using big data technologies such as Hadoop or Spark, or cloud platforms such as Azure or Snowflake.
3 years of experience working with large government datasets.
Responsibilities
Develop and share analytical models and data products.
Improve analytics capabilities and support the development of analytical services.
Analyze and organize raw data for predictive and prescriptive modeling.
Develop algorithms that deliver measurable business value.
Support the development of full-stack data analytics and AI applications.
Lead and provide technical expertise for analytical projects.
Evaluate business needs, improve data quality, and develop analytical tools.
Conduct complex data analysis in collaboration with data engineers and analysts.
Coach and mentor team members and encourage innovative, client-focused solutions.
Work with senior management to promote data-driven decision-making and maintain stakeholder relationships.
Prepare and present analytical options, roadmaps, frameworks, models, and briefings for senior executives.
Facilitate strategic discussions to align stakeholder interests and support decision-making.
Develop baseline metrics, key results, and performance indicators.
Apply statistical methods, machine learning, programming, pattern recognition, and data visualization techniques to extract insights from data.
Integrate quantitative and qualitative data to generate business insights.
Develop dashboards and customized reports using multiple data sources.
Gather and document client requirements and capture business and technical metadata for analytical products.
Identify and escalate issues and risks while working in a multi-vendor environment.