Role Description Are you passionate about systems and integrations? Do you thrive on solving complex problems and building scalable, data-driven solutions that improve efficiency and productivity? If so, we invite you to help shape the future of our operations. The GCOE Senior BI Developer is responsible for leveraging in-depth expertise in our systems and processes to enhance business enablement and organizational efficiency. This role involves solving complex problems by developing innovative models and researching new tools to optimize our operations. Working independently with minimal guidance, the Senior BI Developer also acts as a resource for colleagues, offering support and mentorship. This position is part of the Global Commercial Operations & Enablement (GCOE) Team and will be in Concord, Canada with remote work arrangement (preferred someone with commutable distance to Concord site). The GCOE team provides our SCIEX business partners with real-time data access, enabling them to make confident, data-driven business decisions. In this role, you will have the opportunity to: - Drive the analytics function for the GCOE team, acting as a liaison with business users and technical resources for complex data projects. - Design data modeling processes to create algorithms and predictive models, perform custom analysis on SCIEX data, and present insights using data visualization techniques. - Lead data initiatives end-to-end, including requirements gathering, solution design, development, implementation, validation, and stakeholder enablement (training and documentation). - Coach and mentor analysts and developers in building advanced data models, reports, and analytical solutions, while promoting strong development standards, critical thinking, and continuous improvement. - Evaluate, recommend, and help implement modern technologies and methods for data integration, modeling, analytics, and performance optimization. Qualifications - Bachelor’s Degree or diploma in Technology, Business, or similar discipline. - 5+ years of experience developing enterprise business intelligence and analytics solutions using Power BI, including complex data models and advanced DAX measures. - Advanced proficiency in Python (Pandas) for large-scale data manipulation, transformation, and optimization, with experience using GitHub for version control. - Proficiency in SQL and Azure Data Studio for data extraction, validation, and analytical problem-solving. - Strong critical thinking, communication, and time-management skills, with the ability to operate independently in a global corporate environment while delivering a high level of customer service. Requirements - Previous experience in Oracle (or other ERP system) and Salesforce would be a plus. Benefits - Comprehensive package of benefits including paid time off, medical/dental/vision insurance, and 401(k) to eligible employees. - Flexible, remote working arrangements for eligible roles. - Annual salary range for this role is $130-$135K CAD, with eligibility for bonus/incentive pay.

Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Spectrolab, Inc., a wholly owned subsidiary of The Boeing Company, seeks a Manufacturing Engineer to serve as Solar Panel and Array Process Manufacturing Engineer on our Manufacturing Process Engineering team based in Sylmar, CA. You will have the opportunity to work on projects covering the entire range of Spectrolab's products from large and small solar cell assemblies, panels and arrays for a variety of space applications using the world's highest efficiency solar cells to airborne searchlight gimbal systems and ground-based high-intensity illuminated test systems. You will contribute to development programs and help shape our next-generation improvements in product, process, and tooling design. Position Responsibilities: - Develop and implement production processes. - Generate and maintain process documentation to ensure correct and consistent process application in production. - Analyze and evaluate design/build concepts and producible definitions. - Participate in gated process and product reviews. - Present PFMECA readiness information to both internal and external customers for process and training purposes. - Lead and implement manufacturing plans. - Assist in developing and maintaining manufacturing training requirements. - Support definition of required tooling methodologies to ensure consistent process application - Conduct producibility and variation analyses to ensure that manufacturing process capability matches requirements. - Assist in providing producibility information for inclusion in project plans and helps document producibility best practices. - Identify leading edge technologies, materials, or process improvements and targeted automation to improve ergonomics, safety, cost, and schedule. - Develop and monitor process pareto items to identify and correct drift as well as identify and implement continuous improvement to product and process. - Resolve technical problems of significant impact to performance, cost, and schedule. This position is expected to be fully onsite. This position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. § 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee. Basic Qualifications (Required Skills/Experience): - Experience in manufacturing or production engineering role (3+ years for level 3, 5+ years for level 4). - Assembly or mechanical experience. Preferred Qualifications (Desired Skills/Experience): - General Array Integration and Test (AI&T) operations support. - Solar Array Design and Manufacturing experience. - Maintaining production procedure and documentation. - Experience with Lean events (AIW, 3P etc.) - Experience with Factory Automation business capabilities such as machine tool integration or fabrication. - Experience in RCCA. - Experience with Database design or database development (SQL preferred). - Experience as process trainer. - Familiarity with AS9100, NASA, AIAA, and other Aerospace standards. - Experience in hands on troubleshooting and resolving process, test, or software issues. Typical Education & Experience: Level 3: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Level 4: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 3: $111,350 - $150,650 Level 4: $135,150 - $182,850. Applications for this position will be accepted until Mar. 23, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation Relocation assistance is not a negotiable benefit for this position. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As an Analytics Engineer, you will play a key role in building and maintaining the data foundation that drives insights, reporting, and decision-making across the organization. You will work closely with data engineers, analysts, and business stakeholders to transform raw data into accurate, actionable datasets. The role involves: - Designing scalable data models - Implementing metrics aligned with business logic - Ensuring high standards of performance, testing, and documentation - Enabling data-driven strategies across operations, risk, customer insights, and regulatory reporting Success in this role comes from a combination of technical expertise, analytical thinking, and collaboration across cross-functional teams. The position offers an opportunity to contribute to a fast-growing, innovative environment where your work directly impacts business outcomes. Accountabilities: - Build and maintain dbt models and transformation pipelines that deliver high-quality, business-ready datasets. - Implement and maintain metrics and definitions aligned with documented business logic. - Partner with analysts and business stakeholders to clarify requirements and translate complex questions into data models. - Ensure analytics solutions meet standards for performance, testing, documentation, and reliability. - Participate in code reviews, design discussions, and contribute to continuous improvement of analytics engineering practices. - Support cross-functional teams by enabling data access and insights for operational, strategic, and regulatory needs. Qualifications - Bachelor’s degree in Computer Science, Engineering, Business, or a related field. - 1–3 years of experience in analytics engineering, business intelligence, or related data roles. - Strong SQL skills and familiarity with dimensional modeling concepts. - Experience with transformation tools such as dbt, and modern data warehouses like Snowflake, BigQuery, or Databricks SQL. - Analytical mindset with attention to detail and comfort operating in a regulated environment. - Ability to work independently on defined problems and incorporate feedback effectively. - Experience with Databricks, Jira, or Notion is a plus. - Excellent communication and collaboration skills, with the ability to translate technical insights for business stakeholders. Benefits - Competitive salary range of $130,146 – $162,000 per year. - Comprehensive medical, dental, and vision coverage. - Health Savings Account (HSA) and Flexible Spending Accounts (FSA) options. - Life insurance, long-term and short-term disability coverage. - Supplemental benefits including Hospital Indemnity, Accident, and Critical Illness coverage. - 401(k) retirement plan with company matching. - Generous paid time off, including vacation, sick leave, and 11 paid holidays. - Opportunities for professional development, flexible work arrangements, and a collaborative, innovative culture.

• Construir e otimizar a modelagem de dados com dbt/SQL, seguindo boas práticas de desenvolvimento e governança • Garantir governança, qualidade, documentação, escalabilidade e impacto dos dados no negócio • Participar de discussões com áreas de negócio para entender regras e necessidades • Trabalho conjunto com engenheiros de software para compreender estrutura, frequência de atualização, limitações, contexto de negócio e particularidades técnicas das fontes de dados • Implementar testes de qualidade de dados • Monitorar e dar manutenção de pipelines para garantir disponibilidade, performance e integridade dos dados de seu domínio de negócio • Traduzir necessidades de negócios em soluções alinhadas com as ferramentas e estratégias de plataforma de dados • Suporte para o time de dados, referente ao entendimento da plataforma de dados e as boas práticas • Contribuir para a construção da plataforma de dados do Asaas