Live Assets | IT Staffing Solutions is hiring a Data Analytics Specialist - GOAPRDJP00000929 for one of its clients.

​​The successful candidate will be a Data Analytics Specialist / Data Scientist with a diverse range of analytical skills and experience working in multi-faceted roles. The role may include aspects of any or all of the following: data analysis, data science, data modelling, statistical analysis, artificial intelligence (AI) and machine learning (ML), strategy development, advisory work, data product design and delivery.

Term: 1-Year Contract (06/19/2026 -​​​​​ 05/19/2027)

Location: Primary remote (occasional in office meetings in Edmonton)

Must-Have Skills (Required for Submission):

- Experience and comprehensive skills in using statistical and computer languages, e.g. R, Python, SQL 6 years

- 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

- Experience in building analytical and quantitative analysis models. 6 years

- Experience with projects that involved data science , data engineering and / or AI. 6 years

- Experience in preparing data for prescriptive and predictive modelling 6 years

- Experience with and understanding of different approaches and methods for data analytics and data science (e.g. complex statistical modelling). 6 years

- Experience with and understanding of statistical and data mining techniques to address key business issues. 6 years

- Bachelor degree in Computer Science or related field of study equivalencies will be considered.

Key Responsibilities:

- Lead and support strategic data and analytics initiatives aligned with the Data Strategy.





- Collaborate with stakeholders to gather and translate analytics requirements into solutions.

- Deliver data models, analytics products, and insights to support decision-making.

- Identify and address complex analytical needs across multiple departments.

- Ensure analytics solutions evolve with business needs and technical opportunities.

- ​​​​​​​Provide expertise and leadership in the design and competition of analytic projects

- Develop and share data 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.

- 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 a deeper understanding of their operations, transactions, services and information required for them to identify new opportunities that can only be uncovered through analytics.

- Provide depth and insights on the 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.

📌 Data Analytics Specialist (Edmonton)
🏢 Live Assets
📍 Edmonton