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

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.