• Develop and implement predictive models using advanced statistical and machine learning techniques (e.g., regression, clustering, decision trees, neural networks) • Build and maintain programs for predictor and response variables, ensuring model accuracy and scalability • Partner with business stakeholders to understand needs, translate them into analytical solutions, and communicate actionable insights clearly • Present analytical findings to non-technical audiences, explaining methodologies, data sources, and business impact • Explore, prepare, and structure large datasets (internal and external) to support model development and enhancement • Contribute to the design and continuous improvement of modeling frameworks, processes, and best practices • Ensure data quality and model integrity through rigorous validation and review processes • Develop a strong understanding of the data landscape, including sourcing, mapping, and integrating data across systems • Support enterprise data initiatives (e.g., data migration and transformation programs) • Collaborate with and mentor junior analysts, sharing knowledge and promoting best practices • Stay current on industry trends, particularly within insurance analytics and predictive modeling

• Contribute to the development of learning processes, measurement practices, products and services for Goodwill Academy. • Provide expertise to Goodwill Industries International, Inc. staff and local Goodwill team members on data-informed best practices for learning & development. • Use data to design and continuously improve scalable processes, resources, and support services. • Define success metrics and adoption indicators for Goodwill Academy products and services. • Partner with Data Center of Excellence and Digital & Technology Services teams to track usage, engagement trends, and participation data within the LMS and related platforms. • Collect, analyze, and synthesize feedback from learning events, resources, and services. • Assist in developing and facilitating webinars to the internal GII team and the broader Goodwill network.

Role Description In this role, you will be responsible for delivering high‑quality data, insights, and analytics that empower managers to make accurate, data‑driven product, campaign, and operational decisions. You will help optimize processes—such as merchant onboarding and servicing within the Pay product—by identifying trends, anomalies, and risks to support more effective management of the area. Key Responsibilities - Power BI Reporting & Dashboard Management: Prepare, develop, and maintain Power BI reports (transactional and operational dashboards) to support effective decision‑making in product development, deployments, and marketing activities. - End‑to‑End Analytical Support: Conduct comprehensive analyses, interpret complex datasets, and present clear, concise conclusions and recommendations to internal and external stakeholders. - Trend & Anomaly Detection: Identify trends, patterns, deviations, and anomalies (e.g., campaign performance, transaction result outliers) and communicate findings to relevant teams for managerial action. - Data & Dashboard Optimization Activities: Participate in projects aimed at refining the maintenance, aggregation, and structuring of dashboards to improve efficiency and workspace organization within the Pay team. - Analytical Contribution to Business Cases: Support the development of business cases—including those requiring large or multi‑source datasets—for budgeting, financial planning, and strategic initiatives. - Business Analysis for Non‑Reported Areas: Perform business analyses for sales, product, growth, payments, or operational topics where no ongoing reporting exists or where data retrieval requires advanced database querying. - Coordination Between Data & Business Teams: Facilitate collaboration between Data and Business teams to streamline planning processes, enhance Data team understanding of business needs, and accelerate implementation timelines. Qualifications - Proven ability to work with large datasets, including advanced SQL skills, query optimization, and reporting process automation (including VBA). - Experience with Business Intelligence tools, especially Power BI (Power Query, DAX). - Basic programming knowledge in Python (including PySpark). - Strong working knowledge of Databricks or similar platforms. - Highly developed analytical thinking and problem‑solving mindset. - Ability to translate data into actionable insights and business‑oriented recommendations. - Skill in creating clear, logical, user‑friendly, and visually appealing data visualizations and reports. - Solid understanding of statistics and mathematics at a practical level. Benefits - The option to work from the office or 100% remotely. - Opportunity to work in a diverse, international and cross-functional environment, along with leading experts. - Fulfilling careers with a range of benefits and invests in providing training opportunities for their development. - Involvement in technology monitoring and choices. - Your impact will be visible instantly and you will be making a difference in our users' lives. - We offer B2B type of contract.

Role Description The Order Fulfilment Department currently has a vacancy for a Contact Agent reporting to the Fulfilment Team Manager, who will be responsible for maintaining smooth and efficient processes while providing outstanding customer service. This position requires someone who values strong working relationships with customers and suppliers and can intuitively identify and respond to customer needs before they arise. Qualifications - Excellent verbal and written communication skills (English) - Customer focused - Attention to detail - Ability to work under pressure & manage several priorities at a time - Good communicator - Being courteous and professional at all times - Ability to up-skill and learn independently - Ability to work independently and in a team - Grade 12 - At least 2-3 years' experience in a Customer Service/Call Centre environment - Strong customer service skills - Strong telephone etiquette - Live Chat experience - MS Office (Excel, Word and Outlook) experience will be advantageous Requirements - ISP experience will be advantageous - Being tech savvy is not a must, but it will definitely be an advantage Benefits - Fully Remote work environment - No need to go into the office; you can work from just about anywhere - Partnership with a shared office/workspace called Workshop 17, covering the cost of access to any of their branches around the country - Provision of all necessary tech equipment needed for a remote office: Laptop, monitor, and headset - Free connectivity provided