Job Closed
This listing is no longer active.
We help Life Sciences protect their patients by managing the risks on their manufacturing processes.
Senior Data Analytics Specialist
Location
United States
Posted
93 days ago
Salary
0
Job Description
Senior Data Analytics Specialist
CINCO Engineering
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a highly motivated and detail-oriented Senior Data Analytics Specialist to support the development and implementation of data repositories and analytics tools for pharmaceutical regulated environments operating under Good Manufacturing Practices (GMP). This role will focus on enabling data-driven insights across manufacturing and quality domains, ensuring data integrity, compliance, and effective use of analytics to support operational and quality decision-making. - Analyze business needs and requirements for data and analytics to support regulatory filings. - Identify, classify, and map data sources. - Build data lineage diagram from data source to analytics ready datasets. - Determine data curation requirements to help organize, clean, manage, and maintain data for reliable analytical use cases. - Provide support for technical activities such as building data integration, designing data architecture, and data transformation and processing. - Develop data governance standards to comply with company and industry best practices. - Lead development of key project documents such as user requirements, design specifications, and configuration specifications. - Lead development of test scenarios and scripts in partnership with business, technical, and validation team members. - Lead test execution according to test protocols. - Provide support for development of standard operating procedures and other documentation required to go-Live. - Monitor execution of testing and relay results to technical team to address issues. - Provide support for training business teams for Go-Live. - Development of training materials as needed. - Provide regular updates to project team. Qualifications - Bachelor's Degree. - Minimum of 5-10 years of IT experience working in the role of business and technical analyst with a focus on data, business intelligence, and analytics projects. - Experience working in Biotech/Pharma (Regulated Industry). - Experience with developing requirements, design, and testing documents. - Hands-on experience with data analysis and reporting in support of Pharmaceutical GMP environment. - Experience with design and development and usage of data repository and analytics platforms. - Experience working with analytics (Python, R, Excel, Tableau, Spotfire, other reporting and analytics for manufacturing process industries). - Experience with database (SQL) and ETL development. - Experience with cloud environments (AWS, Azure). - Experience with usage of process analytic software is a plus (Aveva, Seeq). - Knowledge of System Support/System Administration, Communications, Project Management, Training, Computer System Validation, Business Requirements Documentation. - Demonstrated experience managing lifecycle documentation and validation in FDA-regulated environments. - Versed in FDA/Industry regulations and policies (Part 11, Computer System Validation). - Experience with system administration responsibilities. - Experience with helping lead data analysis and engineering projects. - Ability to work under tight timelines, communicate and work across teams in a collaborative manner, and work independently with minimal supervision. - GxP, Pharmaceutical Manufacturing and Quality Data (GMP data), Data analysis and reporting. - Understanding of GMP data sources across pharmaceutical manufacturing process and quality control testing environment sources such as Laboratory Management Information Systems, Quality Systems, Manufacturing Execution Systems, Data Historian, and other tools. - Understanding of data modeling tools.
Job Requirements
- Bachelor's Degree.
- Minimum of 5-10 years of IT experience working in the role of business and technical analyst with a focus on data, business intelligence, and analytics projects.
- Experience working in Biotech/Pharma (Regulated Industry).
- Experience with developing requirements, design, and testing documents.
- Hands-on experience with data analysis and reporting in support of Pharmaceutical GMP environment.
- Experience with design and development and usage of data repository and analytics platforms.
- Experience working with analytics (Python, R, Excel, Tableau, Spotfire, other reporting and analytics for manufacturing process industries).
- Experience with database (SQL) and ETL development.
- Experience with cloud environments (AWS, Azure).
- Experience with usage of process analytic software is a plus (Aveva, Seeq).
- Knowledge of System Support/System Administration, Communications, Project Management, Training, Computer System Validation, Business Requirements Documentation.
- Demonstrated experience managing lifecycle documentation and validation in FDA-regulated environments.
- Versed in FDA/Industry regulations and policies (Part 11, Computer System Validation).
- Experience with system administration responsibilities.
- Experience with helping lead data analysis and engineering projects.
- Ability to work under tight timelines, communicate and work across teams in a collaborative manner, and work independently with minimal supervision.
- GxP, Pharmaceutical Manufacturing and Quality Data (GMP data), Data analysis and reporting.
- Understanding of GMP data sources across pharmaceutical manufacturing process and quality control testing environment sources such as Laboratory Management Information Systems, Quality Systems, Manufacturing Execution Systems, Data Historian, and other tools.
- Understanding of data modeling tools.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Lead Data Engineer
EXLWe make sense of data to drive your business forward. #MakeSenseofData #DriveYourBusinessForward #PartnerYourWay
• Lead project planning and execution • Optimize project processes and resources • Ensure project deliverables meet requirements • Provide technical support • Collaborate with stakeholders.
Senior Marketplaces Manager
JobgetherWe use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role is responsible for overseeing and optimizing the company’s presence across multiple e-commerce marketplaces, with a primary focus on Amazon. You will manage listings, catalog integrity, storefronts, and creative assets while ensuring brand consistency and operational excellence. The position requires a highly organized, detail-oriented individual who can manage multiple projects simultaneously, collaborate cross-functionally, and implement strategies that improve performance and customer experience. Success in this role involves balancing day-to-day marketplace operations with strategic initiatives to enhance visibility, conversion rates, and revenue growth. This is a hands-on position with significant impact on the company’s online retail footprint in a fast-paced, remote-friendly environment. - Create, edit, and optimize product listings including titles, bullet points, descriptions, backend keywords, and A+ content modules. - Manage and continuously improve marketplace storefronts, ensuring consistency and alignment with brand guidelines. - Conduct A/B tests to improve conversion rates, click-through rates, and overall marketplace performance. - Collaborate with creative, marketing, and operations teams to support asset development and implementation. - Monitor and resolve catalog issues via Seller Support, Brand Registry, or other marketplace channels. - Oversee brand protection, including trademark enforcement, unauthorized reseller monitoring, and competitive listings. - Produce regular performance reports on KPIs such as catalog health, storefront metrics, and marketplace trends. - Maintain exceptional accuracy and attention to detail in all product data, listings, and creative assets. Qualifications - 5+ years of experience managing Amazon Seller Central accounts. - Familiarity with additional marketplaces such as Walmart, eBay, and TikTok Shop. - Strong proficiency in Excel or Google Sheets and comfort with data analysis. - Experience creating Amazon A+ Content and managing Brand Storefronts. - Knowledge of marketplace SEO, keyword research, and conversion optimization strategies. - Strong written communication skills for consumer-facing copy. - Ability to multitask, manage multiple concurrent projects, and work cross-functionally. - Experience with third-party tools such as Helium 10, Jungle Scout, or Brand Registry services is a plus. - Highly detail-oriented with a commitment to accuracy in content, data, and asset management. Benefits - Base salary range: $125,000—$135,000 USD. - 20 accrued vacation days per year, 40 hours of paid sick leave, 3 paid mental health days, and 9 paid holidays. - 401(k) plan with company match. - Comprehensive medical, dental, and vision coverage, plus HSA/FSA options. - Life insurance, AD&D, long-term disability, and optional accident/critical illness coverage. - Remote-first work environment with monthly utility allowance and home office support. - Employee discounts, wellness programs, parental leave, and paid volunteer day. - Professional growth opportunities with access to development resources and career advancement initiatives.
AI and Data Analytics Engineer
JobgetherWe use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role is pivotal in designing, implementing, and deploying enterprise-level data management, analytics, and AI solutions. You will leverage cutting-edge technologies, including Microsoft Fabric and AI Foundry, to enhance our data capabilities. Expect to work collaboratively across various teams to ensure seamless delivery of robust and compliant solutions. Your expertise will not only contribute to our projects but also drive significant impacts in our operational effectiveness and innovation. If you're passionate about data and AI, this is your chance to make a difference in a remote-setting environment. - Design and implement enterprise-scale data management, analytics, and AI capabilities using Microsoft technologies. - Collaborate with teams to define data and AI roadmaps aligning with business objectives. - Develop reference architectures and patterns for data services and AI applications. - Shape data service standards and contribute to project planning and execution. - Provide technical leadership and mentorship to teams. - Coordinate integration with third-party systems and support vendor evaluations. Qualifications - 7+ years of experience in data engineering, analytics engineering, or AI application development. - Deep understanding of data modeling frameworks like Kimbal and Lakehouse Architecture. - Expertise in Microsoft Fabric and AI Foundry technologies. - Proficiency in SQL, Python, and KQL with experience in performance tuning. - Ability to implement retrieval-augmented generation pipelines and secure data applications. - Excellent communication skills to explain complex technical topics to diverse audiences. Benefits - Competitive salary range of $140,000 to $170,000 annually. - Work remotely with flexible hours. - Opportunities for professional development and training. - Collaborative and innovative work environment. - Access to the latest tools and technologies in the field.
Capacitador Data Engineering – Snowflake, Databricks
XideralCode is borderless! Click below to learn more about our international services
• Impartir sesiones técnicas teórico-prácticas y resolver dudas técnicas en tiempo real. • Preparar y desarrollar material técnico de capacitación. • Diseñar ejercicios prácticos y evaluaciones técnicas. • Supervisar y orientar el proyecto final de los participantes. • Brindar acompañamiento técnico y soporte durante el programa. • Evaluar el desempeño y progreso de los participantes. • Promover buenas prácticas de Data Engineering. • Simular escenarios reales de proyectos para fortalecer el aprendizaje práctico.


