unTribe - Data Analysis with New Tech

PROJECT DESCRIPTION/DESCRIPTION DU PROJET: unTribe seeks to address issues that organizations have managing their data in a simpler, more cost-effective way. We uniquely provide modern data integration and orchestration platform that brings data engineers, data scientists, and BI practitioners together. While the technology we build is inclusive, we also strive to build an inclusive team. And, we are excited to participate in Venture for Canada's Intrapreneurship program! In this project, the data engineering team will utilize unTribe's pre-release Cloud-Native Data Integration (CNDI) technology to perform data analysis in an area of inquiry that is of internal or public interest. In the latter case, projects may include analysis in an area such as political economy, financial markets, trade, healthcare, urban development, macroeconomics, media, sports, hobbies, or others. The goal is to test the technology in a variety of scenarios, and generate content unTribe can use in support and marketing efforts. HOW MANY STUDENT INTRAPRENEURS WILL THIS PROJECT ACCOMMODATE?/DE COMBIEN D’ÉTUDIANTS AVEZ-VOUS BESOIN POUR EXÉCUTER CE PROJET? 5 TIME COMMITMENT PER STUDENT/TEMPS DE TRAVAIL PAR ÉTUDIANT: 70 hours KEY PROJECT ACTIVITIES/TÂCHES ASSOCIÉES AU PROJET: Requirements analysis Research, e.g. surveying related literature Data modeling Data retrieval and manipulation Working with the software development team on making new feature requests, logging bugs, and improving the documentation IDEAL ROLES/RESPONSIBILITIES/RÔLES/RESPONSABILITÉS:* Please note appropriate projects can accommodate most students, regardless of the field of study or experience. We may not be able to fill these roles exactly. Business Intelligence Analysts (2x member): Research and Analysis - Selection of an analysis topic, related research, sourcing of data, target data modeling, and project summary presentation lead role. Data Engineer (3x): Data engineering implementation - based on interaction with the Business Intelligence Analysts, utilize unTribe's software to implement and perform the corresponding data integration work. Report issues/suggestions as they arise. Support and training will be provided. FINAL PROJECT DELIVERABLES/LIVRABLES DU PROJET: Summary presentation of analysis Report on software issues or suggestions for documentation improvements PROJECT MENTOR NAME/NOM DU MENTOR DU PROJET: Krisztina Pap

Level UP: UX/UI Design

Positions available: 2 We’re looking for UX/UI talent! Do you have a background or interest in user experience design or user interface design? We’d love to develop a new website at untribe.com to present the company to the world. If you were to design a site to have excellent visual appeal, clarity, and delight customers - what would you do? This can include designing elements, interactive or animated features, and outlining the customer journey. Outcomes Your project can be an interactive mockup, flat wireframes, a functional website, a photoshop file - whatever gets your vision across. Please feel free to be creative and depart from the current design.

Level UP: Strategic Prospecting Plan

Positions available: 2 To become a proactive sales team, we need assistance developing an outreach process. We would like to equip our sales team with a plan that guides them in researching new prospects, identifying key contacts, and reaching out with compelling messages. We would like you to create a simple step-by-step strategy for prospecting in our target market. The project may include, but is not limited to: Identifying new potential accounts that align with our current customer base. Compiling relevant market information. Building a customizable outreach script. Creating a simple tracking framework, including metrics, for measuring outreach success. The final project deliverable is a report including research, analysis, and recommendations. It should assist our sales team in successfully prospecting within our target market with actionable recommendations that will increase sales conversions.

Level UP: Data Engineering & BI/Analytics with New Technology

Positions available: 6 The data engineer/developer will utilize unTribe's pre-release Cloud-Native Data Integration (CNDI) technology to perform data analysis in an area of inquiry that is of internal or public interest. In the latter case, projects may include analysis in an area such as political economy, financial markets, trade, healthcare, urban development, macroeconomics, media, or other. The position requires skills in data retrieval and manipulation, empirical methods, and data display. Skills with data integration tooling, Python, or Spark are desirable. The project may include, but is not limited to: Overseeing complex data collection, manipulation, and data storage. Planning and performing the outlines and looking after data retrieval (eg, data scraping) and analysis (eg, big data analysis) using CNDI and related tools and methods. Responsible for complex tasks in relation to data retrieval and analysis. Working with team members in the design and execution of analysis and testing. Surveying related literature. Writing reports to summarize findings. Working with the software development team on making new feature requests, logging bugs, and improving documentation. Working with cloud infrastructure. For each position, three 80-hour project milestones may be realized: Preparation - in this phase, the focus is on the selection of an analysis topic, related research, preliminary data modelling, as well as the installation of CNDI, learning the tool, and reporting issues or suggestions for documentation improvements. Data Integration - The focus of this phase is the execution of data integration work. Data will be transformed using ETL, ELT, or stream processing. The data integration work is deployed to a shared environment. Feedback will be provided on CNDI features and capabilities. Packaging - Based on the data integration work, the student may wish to perform data visualization, or apply AI/ML models to glean further insights. Reports are then written to summarize findings.