Role Description We are seeking a dynamic Data Import & Reporting Analyst to join our customer success team. This role bridges the gap between data services and business intelligence. - Orchestrate smooth data migrations, helping new clients transition their historical data (reservations, guest profiles, inventory) from legacy systems to Cloudbeds. - Act as a reporting strategist, coaching clients on how to leverage Cloudbeds’ reporting features to extract meaningful insights, track KPIs, and drive data-backed business decisions from day one. Qualifications - Hospitality Tech Background: Direct experience working with Hotel Property Management Systems (e.g., Cloudbeds, Opera, Mews, Protel, or similar software). - Client-Facing Expertise: A proven track record in onboarding, implementation, or Tier 2/3 technical support with a natural ability to teach and guide users. - Advanced Spreadsheet Proficiency: Power-user skills in Excel and Google Sheets (VLOOKUPs, Pivot Tables, advanced formulas, and data cleaning). - Analytical Mindset: Strong understanding of basic data management principles, data mapping, parsing, and root-cause error analysis. - Meticulous Attention to Detail: Exceptional precision when handling sensitive historical, financial, and guest records. - Remote-First Readiness: Highly tech-savvy with cloud-based workflows and equipped with a reliable, high-speed internet connection for video coaching sessions. Requirements - Lead Data Migrations: Act as the primary technical advisor guiding new clients through the smooth transition of historical data (reservations, guest profiles, inventory) into Cloudbeds. - Execute Data Manipulation: Extract, clean, map, and validate client data from CSV/Excel formats to ensure flawless system uploads. - Drive Technical Troubleshooting: Proactively identify and resolve formatting discrepancies or system mismatches before clients go live. - Empower Clients Through Coaching: Train properties on how to build, customize, and automate operational and financial reports within the Cloudbeds platform. - Ensure Data Integrity: Guide clients through post-migration audits to validate accuracy across financial histories and occupancy metrics. - Advise on Best Practices: Consult with property managers on key performance indicators (KPIs) to help optimize their daily operations from day one. Benefits - Remote First, Remote Always - PTO in accordance with local labor requirements - Monthly Wellness Fridays - enjoy an extra long weekend every month - Full Paid Parental Leave - Home office stipend based on country of residency - Professional development courses in Cloudbeds University - Access to professional development, including manager training, upskilling and knowledge transfer

Role Description At Nachhilfeunterricht, we are actively seeking tutors to provide private lessons for all musical instruments. Teach your hobby and earn money with your passion! Qualifications - No prior experience is required to apply for this position. - Strong communication and teaching skills. Requirements - Ability to work from home or at the student's residence. - Enthusiasm for teaching. Benefits - Flexibility of timetable. - Possibility of remote work. - You will be able to set the price of your classes. Company Description Nachhilfeunterricht ist das führende Nachhilfeportal in Spanien, Frankreich, Italien und Lateinamerika und hat seit 2007 mehr als 3 Millionen Schülern geholfen, ihren idealen Lehrer zu finden. Und jetzt auch in Deutschland als Teil der führenden Nachhilfeplattform Gostudent. - Über 3 Mio. Schüler lernen bereits bei uns. - Unser Ziel ist es, Millionen von Lehrern mit Schülern zusammenzubringen, um neues Wissen in Hunderten von verschiedenen Fächern zu lehren und zu erlernen, mit Online- oder Präsenzunterricht, überall auf der Welt. - Gib Nachhilfe für alle Schüler, die Hilfe in ihrem Schulalltag benötigen.

• Provides financial, analytical, modeling expertise to build quantitative models for business projects • Conducts complex quantitative analysis as it applies to areas of responsibility, generally aligned to specific transactions and products • Performs statistical model assumptions' tests for soundness of model theory • Hands-on coding and building of quantitative models • Reviews model results and identifies unexpected results • Develops and analyzes key metric and plan variances and related information • Develops analyses of performance and predictive data • Compiles and generates ad-hoc analytical reports • Acts as a technical expert / lead integrating cross-function understanding within their own field of specialty • Independently manages end-to-end functional programs

Role Description StackAdapt is looking for a Data Analyst II to join our Business Intelligence team within Advertising Technologies. In this role, you will deliver advanced data analysis and reporting that drives strategic decision-making across product, revenue, and operations teams. This is an excellent opportunity for a data professional who thrives on translating raw data into actionable insights in a fast-paced, AI-augmented environment. This is a remote-friendly position open to candidates based in Canada. What You'll Be Doing: - Design, build, and maintain high-quality dashboards, reports, and datasets that support business decision-making across product, revenue, and operations teams. - Write advanced SQL queries to extract, transform, and validate data from multiple sources, ensuring accuracy and reliability of reporting outputs. - Identify and recommend new KPIs and metrics that improve business visibility and stakeholder understanding of performance trends. - Manage project plans for new reporting needs, including requirements gathering, milestone tracking, and timely delivery. - Partner with cross-functional teams (Product, Revenue, Operations) to clarify data requirements, resolve data quality issues, and support evidence-based planning. - Within your first 6 months, you will own the delivery of regular BI reporting cycles, contribute to at least one new KPI framework, and actively support the team's adoption of AI-assisted workflows using Claude for reporting and coding tasks and Gemini for planning and meeting documentation. - Reporting SLA adherence: dashboards and ad hoc reports delivered within agreed timelines. - Data quality: reduction in data errors or discrepancies flagged by stakeholders. - KPI adoption: number of new KPIs recommended and accepted by business partners. - Stakeholder satisfaction: positive feedback from cross-functional partners on insight quality and responsiveness. - Project delivery: reporting project plans completed on time and within scope. - Leverage AI/LLM tools (e.g., Claude, ChatGPT, Gemini) to accelerate analysis, automate repetitive tasks, and draft documentation. Qualifications - 2+ years of experience in a data analytics role, with a track record of delivering actionable insights from complex datasets. - Advanced SQL proficiency, including the ability to write complex queries, troubleshoot data issues, and work with data warehouses (e.g., Redshift, Snowflake, BigQuery). - Experience building and maintaining dashboards and reports using BI tools (e.g., Looker, Tableau, Sigma, or similar). - Strong project management skills: ability to clarify requirements, set milestones, manage risks, and deliver reporting initiatives independently. - Excellent communication skills with the ability to present data findings clearly to both technical and non-technical stakeholders. - Ability to write effective prompts, critically evaluate AI-generated output, and integrate AI tools into day-to-day workflows. Requirements - The compensation range listed for this role reflects the expected base salary for candidates located in Ontario, Canada. It is informed by market data and the approved budget for this position. - This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package. - Factors Influencing Final Compensation: - The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications. - Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer. - Ontario Salary Band: $76,000 — $90,000 CAD Benefits - Highly competitive salary - Retirement/401K/Pension Savings globally - Competitive Paid time off packages including birthday's off! - Access to a comprehensive mental health care program - Health benefits from day one of employment - Work from home reimbursements - Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto - Robust training and onboarding program - Coverage and support of personal development initiatives (conferences, courses, books etc) - Access to StackAdapt programmatic courses and certifications to support continuous learning - An awesome parental leave program - A friendly, welcoming, and supportive culture - Our social and team events!