• Generate policy-relevant analytical outputs on learning quality and equity using AMPL datasets, working together with country teams as co-authors. • Strengthen national capacity to independently apply advanced statistical methods to learning assessment data in selected countries. • Implement a six-month phased programme combining structured training, hands-on application and technical mentoring, centred on two in-person workshops. • Assess the availability and readiness of AMPL datasets and develop a common analytical framework addressing key policy questions on learning outcomes, equity and school/system-level effects. • Prepare training materials covering advanced statistical methods supported by practical tools such as annotated code and replicable templates.

• Analisar dados para a tomada de decisões • Colaborar com equipes para entender necessidades de dados • Auxiliar na implementação de soluções de dados

Role Description Eucalyptus / Hims & Hers Canada is looking for a Data Analyst / BI professional to join our small but high-impact Canadian data function. This is a rare opportunity to own analytics for an entire national business unit end-to-end — not a narrow slice of it. You'll work directly with the Lead Data Scientist who owns the full Canadian data stack, as well as the national and international business leaders. You'll get exposure across growth, product, finance, and operations, while collaborating closely with our more mature US analytics team. This role is built for someone who wants: - 360-degree ownership early in their career. - To understand how an entire business works end-to-end through data, not just execute isolated report requests. Why this role over a narrower DA/BI job elsewhere: - Own analytics for an entire national business unit. - Work directly alongside the person building the playbook. - Access to a mature US/international analytics team. - Exposure to problems that typically don't land on someone's desk until several years later in their career. If you're optimizing for how fast you'll grow and how much you'll actually own, not just the number on the offer letter, this role is built for you. What You'll Do: - Build and maintain dashboards and reporting across the business (Looker Studio, Google Sheets, and other tools as needed). - Support A/B testing and experimentation — from test design through results interpretation. - Own cohort and retention analytics for the Canadian subscription business. - Write and optimize SQL to answer business questions directly from BigQuery. - Support light data engineering work in Dataform as needed to keep pipelines and data models healthy. - Partner cross-functionally with Growth, Product, Finance, and Care/Ops stakeholders to translate business questions into metrics and analyses. - Think systematically about metrics from a business point of view — not just "what's the number" but "why does this number matter and what should we do about it." - Collaborate with the US analytics team to learn established best practices and bring them into the Canadian business. Qualifications - 2 years of full-time experience in analytics, BI, or a related data role. - Strong SQL skills (must-have). - Working proficiency in Python (must-have). - Experience building dashboards and reports (tool-agnostic — Looker, Tableau, Looker Studio, Power BI, etc. all count). - Experience with A/B testing / experiment analytics. - Experience with cohort and retention analysis. - Comfort with the SQL and basic data engineering skills needed to support DA/BI work (e.g., understanding data models, light pipeline troubleshooting). - Experience in using AI tools for analytics and coding (i.e. Claude, Claude Code, Cursor, Codex, etc.). - Strong communication skills, especially in a remote, cross-functional, and cross-border environment. - Ability to connect business context to metrics — you ask "why" before you ask "how". Requirements - Experience in product, finance, acquisition/funnel, retention, or growth analytics (nice to have). - Experience with subscription-based business models (nice to have). - GCP experience (BigQuery, Dataform, or similar) (nice to have). Who Will Thrive in This Role - You want to understand an entire business inside and out, not just own one dashboard or one metric. - You're proactive and a fast learner — comfortable defining your own path when there's no existing playbook. - You communicate clearly and independently in a remote setting, without needing constant hand-holding. - You're excited to work with and learn from a more mature US team, and to bring that knowledge back to a growing Canadian function. - You're willing to stretch beyond traditional DA/BI scope into adjacent areas like data engineering and finance-adjacent modeling as the business needs it.

Role Description Our client is seeking a detail-oriented HRIS Data Analyst to support a large-scale HRIS implementation by preparing, validating, and cleansing employee data within the current platform. This role is ideal for someone who enjoys working with Excel, identifying data inconsistencies, and ensuring information is accurate prior to migration into a new enterprise HR system. The initial focus of this engagement is data cleanup and preparation. As the implementation progresses, there may be opportunities to support data validation, testing, system implementation activities, and post-go-live support. Success in this role requires exceptional attention to detail, strong Excel skills, and the ability to follow established processes and business rules. Previous HR experience is preferred but not required, and experience supporting oil and gas, energy, or industrial organizations is a plus. This position is a 3+ month remote role working mostly MST and CST hours. All qualified candidates must be authorized to work in the United States without requiring visa sponsorship or visa transfers. Please note that we do not work C2C. Responsibilities - Extract employee and organizational data from the Insperity HR platform. - Pull, analyze, and reconcile Excel reports from multiple data sources. - Review historical employee data to identify inconsistencies, duplicate records, missing information, and inaccuracies. - Perform data cleanup activities following established business rules and project guidelines. - Research, validate, organize, and maintain employee data. - Prepare clean, accurate datasets for migration into a new HRIS platform. - Create and maintain Excel files used for data transformation, validation, and import activities. - Support data validation and quality assurance throughout the HRIS implementation. - Document completed work and escalate discrepancies or data quality issues as needed. - Collaborate with project team members while consistently delivering accurate, high-quality work. - Assist with data validation, testing, and post-go-live support as project needs evolve. Qualifications - Advanced proficiency in Microsoft Excel, including formulas, XLOOKUP/VLOOKUP, sorting, filtering, pivot tables, and data validation. - Experience working with large datasets and performing data cleanup, reconciliation, or data quality activities. - Exceptional attention to detail with a strong commitment to data accuracy. - Strong analytical, organizational, time management, and problem-solving skills. - Ability to follow detailed instructions, established processes, and business rules. - Excellent written and verbal communication skills. - Ability to work independently in a fully remote environment while collaborating effectively with a project team. - Experience working within an HRIS, payroll, or enterprise business system; Insperity experience is a plus. - Experience supporting data migration or enterprise system implementation projects is preferred. - Familiarity with CSV imports, data mapping, and data validation. - Advanced experience using Microsoft Excel for reporting and data analysis. - HR experience is preferred but not required. - Experience supporting organizations within the oil and gas, energy, or industrial sectors is a plus. - Highly detail-oriented, process-driven, and motivated by improving data quality and ensuring accurate information prior to system implementation. Education/Certifications - Bachelor’s degree required Compensation Sand Cherry Associates is required by Colorado law to include a reasonable estimate of the compensation range for this role. This compensation range considers a wide range of factors considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and delivery model. This is a short-term consulting engagement with an hourly rate of $60-$80. Years of experience, level of education, geographic location, unique skills/qualifications for the specific role and potential certifications can be key factors in the final compensation for this role.