Project Name Data Projects Scope The Data and Content Management Division uses a one-government approach to information and privacy governance, decision-making, and service delivery across the Government of Alberta (GoA) balanced with individual client needs. This facilitates enhanced data access, collaboration, reduction in data duplication, and innovation to ensure effective and efficient services across the government to provide better services to Albertans. The Data Centre of Excellence requires a resource to support the design and development of analytical data products & services to enable the GoA to better leverage its data assets support implementation of the GoA 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. This role will enact the pillars of the Data Strategy by using data to benefit Albertans. 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 be aspects of data engineering, technical analysis, and business analysis. Duties Provides hands‑on support, leadership, advice and direction on the strategic data initiatives that are being undertaken as part of the Data Strategy. Provides expertise and leadership in the design and competition of analytic projects. Develops and shares data models and products. Provides continuous improvement of analytics capacities. Designs and supports development of analytic service offerings. Analyzes and organizes raw data, preparing it for prescriptive and predictive modeling, while building algorithms that deliver business value. Evaluates business needs, enhances data quality, and designs analytical tools to support our data services. Conducts complex data analysis and collaborates with data engineers and analysts on various projects. Coaches and mentors team members, fostering a client-centric approach and encouraging innovative solutions. Works closely with senior management to support a cultural shift toward data as a strategic asset and maintains effective relationships with internal and external stakeholders. Creates and presents options, roadmaps, frameworks, models, and briefings for senior executives with regards to analytics services, based on best and emerging practices and principles. Facilitates strategic conversations to develop shared understanding and generate options for decision-making to align diverse stakeholder interests and goals. Develops baseline and ongoing outcomes, key results, metrics, and other indicators. Works 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. Qualifications Experience in Data Analytics or as a Data Scientist. Applies 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. Provides 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. Provides depth and insights on GoA's data assets and transforms them into meaningful analytics for decision making. Brings knowledge of statistical classification techniques such as k‑means and hierarchical clustering, partition trees, and logistic regression. Integrates both quantitative and qualitative data to create business insights. Designs and creates dashboards and custom reporting with various data sources and inputs. Analyzes data and prepares results. Gathers and documents client requirements. Catches business and technical metadata for analytical products. Escalates issues and risks, as appropriate. Works within a multi-vendor/staff environment. Deliverables Specific deliverables and due dates will be determined by the client team in conjunction with project management. Status reports – weekly and monthly. #J-18808-Ljbffr