Data Analytics Specialist - Remote - SDAB

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.