• Review, evaluate, and accurately label audio recordings and other data files using designated software tools and quality control procedures. • Inspect, classify, and analyze data according to established guidelines to determine quality, accuracy, and compliance. • Identify actual or potential quality issues, inconsistencies, anomalies, or irregularities and document findings with precision and attention to detail. • Communicate observations and quality concerns to team leads and escalate issues to management when necessary. • Maintain accurate records of quality assessments, findings, and related activities. • Assist with quality control projects and initiatives as assigned. • Collaborate effectively with team members to support operational goals and project success. • Contribute to process improvement efforts by identifying trends, recurring issues, and opportunities to enhance quality standards. • Consistently apply established rules, procedures, and quality criteria when evaluating data. • Complete QC Analyst basic certification training and testing. Following certification, exercises professional judgment and discretion to make independent and consequential risk determinations under defined time constraints. • Perform additional related duties as required.

• 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.