Role Description 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 and support the 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. Duties: - Provides hands-on support, leadership, advice, and direction on the strategic data initiatives that are being undertaken as part of the Data Strategy. - Coordinates with various internal and external clients to understand their analytics needs and how to use the data to best meet these needs. - Anticipates, identifies, and responds to diverse and complex data analytic requirements across GoA departments and from external organizations. - Ensures services and project deliverables evolve as the work progresses, in response to emerging user and business needs, as well as design and technical opportunities. - Works with Manager Analytics Capability Centre to: - Develop and share analytical models and products. - Provide continuous improvement of analytics capacities. - Design and support development of analytic service offerings. - Analyzes and organizes raw data, preparing it for prescriptive and predictive modeling, while building algorithms that deliver business value. - Supports in the development of full-stack data analytics or AI applications as required. - Provides expertise and leadership in the design and competition of analytic projects. - Evaluates business needs, enhances data quality, and designs analytical tools to support 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 maintain effective relationships with internal and external stakeholders. - Creates and presents options, roadmaps, frameworks, models, and briefings for senior executives regarding 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. - Applies skills to provide insights, support decision-making, and facilitate strategic business planning across the department. - Focuses 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 with a deeper understanding of their operations, transactions, services, and information required for them to identify new opportunities that can 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. - Captures business and technical metadata for analytical products. - Escalates issues and risks, as appropriate. - Works within a multi-vendor/staff environment. Qualifications - Data Analytics Specialist / Data Scientist with a diverse range of analytical skills. - Experience in working in multi-faceted roles including data analysis, data science, data modeling, statistical analysis, AI & ML, strategizing, advising, data product design, and delivery. Requirements - Expertise in anticipating, identifying, and responding to diverse and complex data analytic requirements. - Ability to coordinate with various internal and external clients. - Strong analytical and problem-solving skills. - Experience in coaching and mentoring team members. - Ability to create and present analytical models and products. Benefits - Opportunity to work on strategic data initiatives. - Collaboration with various internal and external stakeholders. - Professional development and mentorship opportunities.

• Teach for America is increasing our investment in our student outcomes strategy that combines multiple approaches to understand how our students are performing and use student data for program improvement. • Support collection of student data from district and school partners across TFA regions. • Build and manage strategic data sharing partnerships with school districts and state agencies. • Develop and maintain strong relationships with LEAs and SEAs. • Establish trust with district and state partners to facilitate timely sharing of student achievement data. • Serve as the primary point of contact for partner agencies throughout the data collection process. • Lead regional student data collection projects, including developing and managing project plans. • Analyze and translate student achievement data into actionable insights. • Ensure data collection, storage, and reporting comply with policies and student data privacy requirements.

• Conduct analyses across various datasets and communicating insights and impact in context with intent on a recurring basis. • Perform rigorous quantitative analysis across relevant systems, existing dashboards, and manual sources. • Regularly share insights on progress/outcomes, potential scenarios, and trends in strategic indicators to Supply Chain leadership and review with subject matter experts to ensure appropriate context. • Enable Global Supply Chain organization to become more data driven by developing automated data accessibility and effective reporting. • Develop new dashboards that empower business stakeholders with self-service analytics. • Maintain and evolve existing reporting to be readily accessible and better fit for purpose. • Create new data sources to unlock new functionality or visibility. • Perform and present ad-hoc analyses to ensure effective execution of strategy, highlighting key takeaways to business stakeholders. • Act as translator between lab coats and business suits – communicating in a way to make insights approachable and technical details meaningful. • Support Supply Chain Excellence leadership in creating presentations for executive stakeholder reviews. • Spearhead definition of meaningful metrics, balancing subtleties, and standardization, by driving consensus with cross-functional teams. • Work with leadership and operational colleagues across Global Supply Chain to define strategic KPIs, develop implementation roadmaps in collaboration with IT partners, and socialize results with broader Deckers organization. • Drive progress of Supply Chain Think Tank initiative – a cross-functional partnership between Global Supply Chain and Enterprise Analytics teams to develop automated reports.

Role Description This is a remote position. We are seeking an experienced Data Analytics Specialist / Data Scientist to support the design, development, and delivery of analytical data products and services. The successful candidate will leverage advanced analytics, statistical modeling, Artificial Intelligence (AI), and Machine Learning (ML) to transform complex data into actionable insights that drive business decisions. This role requires close collaboration with business stakeholders, data engineers, and cross-functional teams to develop innovative, data-driven solutions. Qualifications - Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. - 6+ years of experience using statistical and programming languages such as Python, R, SQL, SAS, or Scala. - 6+ years of experience building analytical and quantitative models. - 6+ years of experience preparing data for predictive and prescriptive modeling. - 5+ years of experience translating complex business problems into analytical solutions. - 6+ years of experience with data analytics methodologies and statistical analysis. - 6+ years of experience applying statistical and data mining techniques. - 6+ years of experience with Artificial Intelligence (AI) and Machine Learning (ML). - Strong knowledge of: - Data Analytics - Data Science - Data Modeling - Statistical Analysis - Predictive & Prescriptive Analytics - Data Mining - Machine Learning - Artificial Intelligence - Experience with dashboarding and visualization tools such as Power BI or Tableau. - Excellent problem-solving, communication, and stakeholder management skills. Requirements - 6+ years of experience using statistical and programming languages such as Python, R, SQL, SAS, or Scala. - 6+ years of experience building analytical and quantitative models. - 6+ years of experience preparing data for predictive and prescriptive modeling. - 5+ years of experience translating complex business problems into analytical solutions. - 6+ years of experience with data analytics methodologies and statistical analysis. - 6+ years of experience applying statistical and data mining techniques. - 6+ years of experience with Artificial Intelligence (AI) and Machine Learning (ML). Company Description