• ERP analysis & data mapping: You analyze the data structures of common ERP systems on the German market. You understand how customer data is structured in legacy systems and develop logic to transform it into our target model. • Data preparation & migration: You ingest customer data (exports, databases), prepare and clean it ("Data Cleaning") and validate the results. Your goal: a flawless go-live for the customer. • Customer interface: You review the prepared data together with customers, identify necessary corrections and finalize the import. You can explain technical details clearly to non-technical contacts. • From process to automation: You are motivated to eliminate manual steps. You recognize patterns in migrations and help the team develop automated pipelines, scripts, or import assistants to accelerate onboarding step by step. • Quality assurance: You perform logical and content comparisons to ensure migrated data is 100% consistent.

Role Description Altera Digital Health is seeking a passionate and qualified Health Informatics Intern to join our dynamic team! This is a remote internship opportunity in Canada. As a Health Informatics Intern, you will play a vital role in supporting our projects and gaining valuable experience in a fast-paced and growing healthcare technology company. This is a 3-4 month internship with the potential for extension. - Collaborate with cross-functional teams to gather and analyze project requirements and assist in project execution. - Analyze and document clinical and referral workflows and participate in the design and validation of clinical order sets. - Contribute to the development of new clinical dashboards and reports that deliver value to clinical users. - Rapidly learn and contribute to process improvement initiatives aimed at improving clinician experience and population health outcomes. - Provide support for project incidents and maintain excellent client relationships. - Expand your knowledge and skills through hands-on experience in a dynamic and collaborative work environment. Qualifications - Currently enrolled in a Canadian health informatics, computer science, software engineering or data science master’s program with an internship track. Applicants with a postgraduate certificate in health informatics may also be considered. - Passionate about healthcare and interested in advancing healthcare technology. - Technical proficiency in MS Office, MS Visio, and data visualization & reporting tools (Power BI & SQL query is required). - Familiarity with Health Interoperability Standards (HL7, FHIR, SNOMED, ICD, etc.) preferred. - Coding knowledge (XML, JSON, Python, SQL) preferred. - Strong critical thinking, analytical, and problem-solving skills. - Excellent communication skills, both written and verbal. - Self-starter with the ability to work with minimal supervision and a willingness to learn quickly on the job. Requirements - Visits to clients. - Work location: Saskatchewan or Manitoba with some travel to client. Benefits - Competitive hourly rate. - Opportunity to gain valuable experience in a leading healthcare technology company. - Work in a dynamic and collaborative remote work environment.

• Develop and maintain Python-based analytical workflows to support machine learning model development, scoring, validation, and performance monitoring. • Design and build scalable, production-grade datasets and feature tables to support reporting, experimentation, and predictive modeling initiatives. • Write complex SQL queries to integrate multi-source marketing, CRM, and enrollment data, ensuring data accuracy, consistency, and performance optimization. • Engineer and validate model features to support advanced marketing analytics initiatives, including multi-touch attribution, marketing mix modeling, lead scoring, and customer lifetime value. • Partner in the deployment and operationalization of predictive models into production environments, ensuring reliable and automated data pipelines. • Contribute to the design and enhancement of marketing analytics data architecture to ensure data is accessible, reliable, and reusable across teams. • Identify and implement process improvements, including pipeline optimization, automation of manual workflows, and infrastructure redesign for scalability and performance. • Perform complex analyses on marketing, digital, and call center data to identify drivers of conversion and enrollment performance. • Conduct root cause analysis across traffic, campaign, and enrollment datasets to uncover actionable business insights. • Design automated reporting solutions that empower business stakeholders to self-serve insights while ensuring data governance and consistency.

Role Description You will join the Advanced Analytics team of a leading multinational energy company, working in close partnership with a Product Owner. The mission is to extract, interrogate and interpret structured procurement and transactional data across multiple source systems - surfacing patterns, anomalies and insights that drive business decisions. What You Will Do - Write and maintain Python and SQL scripts to extract and prepare transactional datasets from multiple source systems within an AWS environment. - Collaborate with the Product Owner to define analytical scenarios, translating business questions into structured analytical approaches. - Apply statistical methods to identify patterns, anomalies, trends and policy constraint violations across procurement datasets. - Research market benchmarks and external reference points to validate internal findings and assess whether observed trends are expected or significant. - Communicate conclusions clearly to non-technical stakeholders - translating statistical outputs into business-readable insights and recommendations. Qualifications - Procurement or financial transactional data experience - you instinctively understand what normal looks like, what anomalies look like and what questions are worth asking. - Strong SQL and Python - hands-on, production-quality scripting for data extraction, transformation and analysis. - Statistical analysis skills - pattern recognition, trend analysis and constraint validation applied to real business datasets. - AWS familiarity - comfortable working with S3 and relational schemas in a cloud environment. - Autonomous working style - you structure loosely defined scenarios into analytical approaches independently, without waiting for detailed specifications. - Clear communication - you translate statistical findings into plain business language for non-technical stakeholders and product team. Requirements - Background in supply chain, procurement operations or financial controls. - Experience benchmarking internal data against external market norms. - Familiarity with enterprise procurement or ERP systems (SAP, Oracle, Ariba or similar) as data sources. - English - Upper-intermediate. Benefits - Health insurance from the first days regardless of the probationary period. - Christmas holidays from 25 December to 31 December. - Cooperation with Superhumans center and Veteran HUB. - Support for psychological counseling provided by the Veteran Hub. - Internal policy making the company friendly to military and veterans with the assistance of the Hub.