Title: Senior Data Analyst (Marketing Experience) Canada Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role The Senior Marketing Analysts primary responsibility is to help clients maximize value from their marketing data. Youll own client delivery end-to-end for your assigned accounts - from data modeling through final reporting. Youll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. Youll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows. We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients. Responsibilities - Support clients directly - understand their requirements, translate them into data solutions, and deliver clear insights. - Build and maintain dashboards and reports in Looker, Power BI, and Tableau - depending on client setup. - Design and maintain data models that consolidate data from multiple marketing platforms and sources. - Map and document data flows across complex, multi-source schemas. - Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. - Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. - Manage and enhance data transformations with dbt. - Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. - Use Git for version control and collaboration. Must Have Qualifications - Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all. - 3+ years of SQL experience. - Proficiency with AI tools and ability to integrate them into daily workflows. - Experience working with multiple marketing data sources simultaneously (ad platforms, CRM, web analytics, etc.). - Understanding of data modeling principles (star schema, dimensional modeling). - Understanding of ELT/ETL concepts and debugging data transformation logic. - English C1 level with excellent written and verbal communication. - Ability to communicate directly with clients and stakeholders. - Takes ownership and responsibility for their work and results. - Can present their work and insights confidently to clients. - Consistently checks their own work for quality, accuracy, and completeness before delivery. - Strong analytical skills, proactive problem-solving, and close attention to detail. - Comfortable with ambiguity and able to drive clarity with clients and internal teams. - Hands-on experience with QA/UAT processes. Nice to Have - Knowledge of Google Analytics (for business understanding). - Knowledge of Google Analytics Data Streams. - Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.). - Understanding of Marketing Mix Modeling (MMM) concepts. - dbt experience in analytics workflows. - Python or other scripting language for data analysis and automation. - Experience with data quality frameworks or data observability tools. - Familiarity with marketing attribution models. What We Offer - Remote-first environment - Strong product/market fit: marketing data product for US-based enterprises - 20 working days of PTO per year - US holidays and additional days off - Professional development reimbursement

Title: Senior Data Analyst (Marketing Experience) Mexico Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role The Senior Marketing Analysts primary responsibility is to help clients maximize value from their marketing data. Youll own client delivery end-to-end for your assigned accounts - from data modeling through final reporting. Youll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. Youll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows. We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients. Responsibilities - Support clients directly - understand their requirements, translate them into data solutions, and deliver clear insights. - Build and maintain dashboards and reports in Looker, Power BI, and Tableau - depending on client setup. - Design and maintain data models that consolidate data from multiple marketing platforms and sources. - Map and document data flows across complex, multi-source schemas. - Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. - Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. - Manage and enhance data transformations with dbt. - Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. - Use Git for version control and collaboration. Must Have Qualifications - Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all. - 3+ years of SQL experience. - Proficiency with AI tools and ability to integrate them into daily workflows. - Experience working with multiple marketing data sources simultaneously (ad platforms, CRM, web analytics, etc.). - Understanding of data modeling principles (star schema, dimensional modeling). - Understanding of ELT/ETL concepts and debugging data transformation logic. - English C1 level with excellent written and verbal communication. - Ability to communicate directly with clients and stakeholders. - Takes ownership and responsibility for their work and results. - Can present their work and insights confidently to clients. - Consistently checks their own work for quality, accuracy, and completeness before delivery. - Strong analytical skills, proactive problem-solving, and close attention to detail. - Comfortable with ambiguity and able to drive clarity with clients and internal teams. - Hands-on experience with QA/UAT processes. Nice to Have - Knowledge of Google Analytics (for business understanding). - Knowledge of Google Analytics Data Streams. - Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.). - Understanding of Marketing Mix Modeling (MMM) concepts. - dbt experience in analytics workflows. - Python or other scripting language for data analysis and automation. - Experience with data quality frameworks or data observability tools. - Familiarity with marketing attribution models. What We Offer - Remote-first environment - Strong product/market fit: marketing data product for US-based enterprises - 20 working days of PTO per year - US holidays and additional days off - Professional development reimbursement

Role Description UNICEF is committed to ensuring that all children and young people acquire the knowledge, skills, and competencies needed to successfully learn, thrive and transition to further learning, decent work, and active citizenship. The consultancy will contribute to strengthening evidence-based decision-making, improving education and skills programme performance, supporting education sector planning and financing, and promoting successful school-to-work transitions for adolescents and young people. Expected Deliverables: - Task 1 – Global Public Goods on Education System External Efficiency and Skills–Labor Market Alignment - 1A. Compendium of Good Practices on Education–Labor Market Observatories - 1B. Compendium of Good Practices on Tracer Studies and Employer Surveys - 1C. Compendium of Good Practices on Public–Private Dialogue and Stakeholder Engagement - Task 2 – Technical Assistance to Country Offices and Governments - 2A. Demand-Driven Technical Assistance to Countries: Provide technical assistance to UNICEF Country Offices and governments, in response to formal technical assistance requests, on establishing or strengthening education–labor market observatories, tracer studies, employer surveys, labor market intelligence systems, and stakeholder consultation mechanisms. Support will be provided to at least five countries and documented through technical reports, mission reports, technical reviews, workshop outputs, and country-specific recommendations. - 2B. Toolkit: Produce a toolkit consolidating lessons from the global reviews and identifying operational models, indicators, templates, and tools that can inform future UNICEF guidance, technical assistance, and country support on education-to-employment transitions and labor market alignment monitoring. - 2C. Knowledge Sharing, Capacity Development and Final Synthesis: Develop knowledge products and training materials, facilitate regional and global webinars and peer-learning exchanges, document country case studies and implementation lessons, and produce a final synthesis report highlighting country experiences, emerging lessons, and recommendations for strengthening education system external efficiency and skills–labor market alignment. Qualifications - Advanced university degree (Master's or higher) in Economics, Labor Economics, Statistics, Monitoring and Evaluation, or a closely related field. Requirements - At least eight years of progressively responsible professional experience in labor market analysis, TVET, education sector planning, education financing, monitoring and evaluation, or closely related fields. - Demonstrated experience conducting or supporting graduate tracer studies, employer surveys, labor market assessments, labor market intelligence systems, workforce observatories, or similar monitoring systems. - Proven experience supporting governments and development partners in strengthening alignment between education systems and labor market needs. - Experience producing analytical reports, global reviews, guidance materials, toolkits, and other knowledge products intended for policy and operational use. - Experience providing technical assistance to governments and/or international organizations in low-and middle-income countries. Skills - Strong understanding of education-to-employment transitions and employability outcomes. - Knowledge of education system performance, external efficiency analysis, skills development systems, TVET, and workforce development policies. - Familiarity with labor market observatories, tracer studies, employer surveys, labor market intelligence systems, and skills forecasting methodologies. - Strong analytical, research, writing, and synthesis skills. - Ability to translate technical evidence into practical recommendations for policymakers and practitioners. - Strong facilitation and stakeholder engagement skills. Language Requirements - Fluent in English, spoken and written. Knowledge of French will be an advantage. Desirables - Experience working with Ministries of Education, Labor, Planning, TVET authorities, chambers of commerce, employers' organizations, trade unions, and development partners is desirable. - Knowledge of French or another UN language. Benefits - Diverse opportunities for professional and personal development. - Attractive compensation and benefits package.

• Fully conversant with the trial protocol, Case Report Forms (CRFs/eCRF), off-site manual (if applicable), supporting documents, procedures, and timelines to enable day to day running of the trial including all relevant SOPs • Communicate effectively with the Illingworth research nurse project manager (RNPM), Research nurse manager, site staff and the Principal Investigator, to ensure a smooth and efficient flow of information • Maintain accurate documentation including electronic transfer of data as per Illingworth SOPs throughout the trial, ensuring subject confidentiality, adhering to GCP and data protection requirements • Attend Site Initiation Visits (SIV) as required and any other necessary meetings, including multi-disciplinary, project management and client-facing meetings • Coordinate (working with the RN team) and complete subject trial visits on- and off-site • Ensure all trial related procedures and assessments are completed according to the protocol and relevant SOPs and that data is collected accurately • Administer trial medication as per the protocol, and facilitate the safe storage, transfer, and accountability of trial medication in accordance with Illingworth SOPs • Process and safely package and dispatch samples, liaising with courier companies and organizations in line with project requirements and supporting documents • Assist in identifying potentially eligible patients for research projects and assist with patient recruitment into clinical trials providing information and support for those patients for on- and off-site care • Ensure the accurate reporting of adverse events (AEs) and serious adverse events (SAEs)/suspected unexpected serious adverse reactions (SUSARs) to the site team and relevant RNPM, providing support for any additional follow-up that may be required • Report any suspected misconduct or fraud to Illingworth and associated companies