Data Analytics Specialist (Data Scientist)

Data Analytics Specialist (Data Scientist)

Contract - 12 month (up to 12 month extension)

$97 / hr

May 16, 2025

Closed

About the Role

Our public sector client is seeking a Data Analytics Specialist for a 1‑year full time contract, with the possibility of up to a 12‑month extension. The Data Analytics Specialist will be required on a full‑time basis (7.25 hour work day, 36.25 hours / week) and is required to support the design and development of analytical data products & services to enable the Client to better leverage its data assets and support implementation of the Client’s Data Strategy. Working within a team, this resource is an expert and plays a key role in ensuring high‑quality data modeling, applying algorithms, de‑identification, synthetic data creation, visualizations and development of evidence for use across ministries and with external stakeholders.

The successful candidate will be a Data Analytics Specialist / Data Scientist with a diverse range of analytical skills and experience in working in multi‑faceted roles. The role may have aspects of any or all the following : data analysis, data science, data modelling, statistical analysis, artificial intelligence (AI) & machine learning (ML), strategizing, advising, data product design and delivery. There may also be aspects of data engineering, technical analysis, and business analysis.

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 the Client’s departments and from external organisations, 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 to :

• 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 organise raw data, preparing it for prescriptive and predictive modelling, while building algorithms that deliver business value
• Evaluate business needs, enhance data quality, and design analytical tools to support our data services
• Conduct complex data analysis and collaborate with data engineers and analysts on various projects
• Coach and mentor team members, fostering a client‑centric approach and encouraging innovative solutions
• Work 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 data visualisations
• Experience in Data Analytics or as a Data Scientist
• Apply skills to provide insights, support decision‑making and facilitate strategic business planning across the department
• 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
• Provide depth and insights on Client’s data assets and transform them into meaningful analytics for decision‑making
• Bring knowledge of statistical classification techniques such as k‑means, 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

Deliverables

Working Hours

Standard hours of work are 08 : 15 – 16 : 30 Alberta time, Monday through Friday excluding holidays observed by the client, and will be expected to be on‑call periodically. Work must be done from within Canada, due to network and data security issues. It is anticipated the role will be 100% remote; however, in the event of an onsite meeting, the Client / Handis Consulting Ltd. does not pay for travel to attend on‑site meetings, nor any expenses related to relocation, commuting, housing / accommodation, food / drink.

Resource will work remotely, though must be available for onsite meetings when required. Onsite meetings include but are not limited to strategic, analytical, and technical discussions, meeting with team members, senior managers, directors, executive directors, and business clients. Frequency of meeting could be up to 3‑4 times per fiscal year. Actual onsite attendance may be negotiable, particularly if resource lives outside Alberta.

Equipment

The candidate shall be responsible for providing all their own equipment. The computer’s operating system must be a modern version of Windows or MacOS that is compatible with Azure Virtual Desktop (AVD) and related software for remote access. AVD / remote‑related software will be installed on the resource’s computer.

Requirements

Education

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

Work Experience

Standard Security Clearance

The contractor shall, prior to commencement of the Services, provide the client, on its request and at no cost to the client / Handis Consulting Ltd., with a current criminal record check.

Resource References

Three references, for whom similar work has been performed, must be provided. The most recent reference should be listed first. Reference checks may or may not be completed to assist with scoring of the proposed resource by the client.

Submission Requirements

Submit your resume detailing all relevant experience and certifications, as well as 3 recent references. Candidate must have or immediately obtain Incorporated Business status.

Handis Consulting prides itself in being an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

#J-18808-Ljbffr